TL;DR:
While your competitors are still making customers wait days for email replies, the smartest brands are having conversations that close sales in real time.
Instead of forcing customers to search through FAQs or go through an automation loop, conversational commerce lets you have instant chats through live chat, messaging apps, and even AI assistants.
In this guide, we’ll explain conversational commerce, where it delivers the most value, and how to start using it to drive revenue and improve CX without overwhelming your team.
Conversational commerce means using real-time, two-way conversations as your storefront. Rather than bottling up questions in FAQ pages or forcing customers to wait for your support team to respond, you can instantly connect via:
Maybe someone is on your product page and asks a question like, “Does this jacket run large?”. Through chat, they get an instant answer, increasing the chance of a sale. Or a shopper receives personalized recommendations via WhatsApp and checks out, all without leaving the app.
These channels allow you to meet customers where they already are, effortlessly. When paired with AI chatbots, you can deliver fast, accurate responses 24/7, even while your team is off the clock. That means better experiences for your customers and more sales captured for your brand.
Conversational commerce bridges the gap between shopping and support. It turns your support team (and AI tools) into revenue drivers by helping shoppers feel seen, heard, and ready to buy.
Conversational commerce means bringing your storefront into the flow of conversation, wherever that happens for your customers.
Here’s where those conversations typically happen:
This is a chat widget on your site, often in the bottom right corner, where shoppers can ask questions and receive immediate answers from a human agent or automation.
It’s a quick path to support or purchase, which one agent can manage multiple chats from simultaneously, boosting efficiency and keeping things personal.
These smart helpers use Natural Language Processing (NLP) to understand what shoppers mean beyond what they type. They guide customers through questions, offer product suggestions, handle FAQs, and can sometimes complete transactions right in the chat, even handling post‑purchase support like order status or returns.
Natural Language Processing (NLP): The processing of understanding and interpreting natural language using computers. NLP is used in tasks such as sentiment analysis, summarization, speech recognition, and more.
Think WhatsApp, Facebook Messenger, WeChat, and SMS—the apps where customers already spend their time in their day-to-day. Instead of sending them to shop on your website, you bring the shopping to them. Answer their questions, provide recommendations, and win purchases in a channel they already trust.
Voice assistance isn’t limited to smart speakers like Siri and Alexa anymore.
Now, AI voice support lets brands deliver natural conversations over the phone, without needing a massive contact center team. These AI voice agents can:
AI-powered voice support combines the human feel of a phone call with the speed and accuracy of automation. It's especially useful for high-ticket products, customers who prefer calling, or peak season overflow when your human team is maxed out.
Conversational commerce isn’t a CX buzzword. When done right, it directly impacts your bottom line.
Here’s how it pays off for ecommerce brands:
When customers can ask questions and get answers in real time, whether it's sizing info, shipping details, or help choosing between products, they’re far more likely to hit “buy.”
Success story: Clothing brand Tommy John generated $106K+ in sales in just two months through conversation-led upselling and cross-selling, with a 15% conversion rate.
Conversational commerce tools like AI agents help offload the repetitive support tasks, including answering questions like “Where’s my order?” or “What’s your return policy?”
With that time back, agents get time back to:
Instead of getting buried in basic tickets, your team gets to do the work that really moves the needle for your customers and your business.
Related: Every successful marketing campaign starts with a customer question
The right nudge at the right moment, like a personalized recommendation from an AI shopping assistant, can turn a single item into a full cart. You can also recover more abandoned checkouts by re-engaging customers directly through chat or a messaging app.
Read more: You’re missing out on sales without an AI shopping assistant—here’s why
Conversational commerce lets you meet customers with a human (or human-like) touch. When your brand is helpful, fast, and easy to talk to, shoppers remember and return.
In the long run, that means better customer retention, higher lifetime value, and more organic growth through word of mouth.
Conversational commerce shines brightest when the stakes are high or when the moment is just right.
Here are the critical moments where a real-time conversation can make all the difference:
A customer’s on your product page, they’ve added an item to their cart, but are hesitating. Maybe they’re unsure about sizing, shipping time, or which variation to choose. This is where a quick, helpful chat, automated or human, comes in and becomes the difference between bounce and conversion.
Pro tip: Use proactive chat prompts based on page behavior to start the conversation before the shopper leaves.
After a customer hits “place order,” expect more questions to roll into your inbox. Where’s my order? How do I track it? What’s your return policy? Post-purchase excitement—and anxiety—is normal, and a smart AI agent helps you get ahead of these questions while putting customers at ease.
Black Friday. Holiday rush. Product drops. These are prime opportunities to boost revenue—but they also flood your support team. Conversational commerce tools help you scale without sacrificing quality, keeping shoppers happy and sales flowing.
If you sell skincare, supplements, tech, or anything that requires a bit of education, your customers likely need guidance before they commit. A personalized conversation helps them find the right fit and feel more confident in their purchase.
Conversational commerce sounds exciting, and it is. But before you dive in, it’s worth thinking through a few key factors to set your team (and your customers) up for success.
You don’t need a full-blown chatbot army on Day 1. Start with your highest-impact touchpoints, like pre-sale FAQs or WISMO questions, and layer in automation over time. The goal is to generate clear ROI early, then expand once you see traction.
Here’s how to gradually implement automation into your CX process:
The goal isn’t to automate everything, it’s to automate smartly so your team can spend time where it counts: high-touch sales, VIP support, and strategic growth.
Do you have in-house agents ready to handle live chat? Or do you need automation to handle the bulk of it? Make sure your setup aligns with your team’s bandwidth.
Pro tip: Tools like Gorgias AI Agent and Shopping Assistant can handle the support and sales heavy lifting, making them perfect for lean CX teams.
Your customers aren’t just on your website. They’re messaging on Instagram, browsing via mobile, or checking their texts. To deliver great conversational commerce, you’ll want to show up in the places your shoppers already use.
Pro tip: Don’t spread your efforts too thin. Start with the channel that aligns with your goals and customer behavior, live chat, SMS, or social DMs, and build from there.
Ready to make conversational commerce part of your CX strategy? You don’t need to overhaul your tech stack or hire a whole new team. With Gorgias, you can start fast, stay lean, and scale smart.
Here’s how:
Gorgias AI Agent is designed to take repetitive tickets off your team’s plate, from “Where’s my order?” to “How do I make a return?” It understands natural language, pulls in relevant customer data, and responds in seconds—all using your brand’s approved knowledge.
The result is faster responses, fewer tickets, and more time back for your team.
While AI Agent, covers the support front, Shopping Assistant is your digital salesperson. It engages high-intent shoppers in real time, recommends the right products, and even upsells or cross-sells based on what the customer is browsing.
Whether it’s helping someone choose the perfect shade or nudging them to complete their cart, Shopping Assistant is designed to increase AOV and reduce abandonment.
Every time a shopper lands on your site, scrolls through Instagram, or replies to a shipping update, they’re opening the door to a conversation. The brands that show up quickly, helpfully, and with the right message, are the ones winning loyalty and revenue.
With AI Agent, you can automate accurate responses to common questions, giving your team time back without sacrificing customer experience. And with Shopping Assistant, you can turn those conversations into conversions, offering personalized recommendations, upsells, and discounts based on shopper intent.
You don’t need a massive team or months of setup to start. Just the right tools, and a strategy built for your customers.
Book a demo and learn how Gorgias helps you turn every conversation into an opportunity to grow.
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TL;DR:
Every delayed reply, missed ticket, or frustrated customer costs more than just satisfaction—it hits revenue, loyalty, and your brand reputation. That’s why more and more brands are investing in AI helpdesks to automate the tedious parts of their job.
But with so many options on the market, choosing the right AI helpdesk can feel overwhelming. Should you prioritize conversational AI? Multi-channel support? No-code customization? Or pricing that scales with your team?
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We’ve reviewed the 10 best AI helpdesks available in 2025, evaluating them across AI capabilities, ease of use, integrations, analytics, and pricing.
Helpdesk |
AI Features |
Main Strength |
Potential Limitation |
Best For |
Starting Price |
---|---|---|---|---|---|
Gorgias |
AI Agent, Shopping Assistant, Auto QA |
Multi-channel ecommerce support, AI shopping assistant |
Ecommerce-focused |
Scaling and enterprise ecommerce brands |
$10/month per agent |
Zendesk |
Copilot, AI triage, Zendesk QA |
Enterprise-grade omnichannel support |
Can be complex for smaller teams |
Large enterprises like banks and airlines |
$25/month per agent |
Intercom |
Fin AI, Fin Tasks, Fin Insights |
Conversational AI, proactive support |
Higher learning curve for complex workflows |
SaaS and mid-to-large businesses |
$39/month per agent |
Gladly |
Gladly Hero, Sidekick Chat, Sidekick Voice |
Conversation-centric support, loyalty focus |
Complex implementation onboarding process |
Customer-focused businesses that prioritize loyalty |
Custom pricing |
Kustomer |
AI Agents for Reps, AI Agents for Customers |
CRM-centric support |
Unintuitive and laggy user interface |
Mid-to-large enterprises |
$89/month per agent |
Tidio |
Lyro AI Agent |
Easy-to-use automation for small teams |
May not scale for large enterprise workflows |
Small to mid-sized ecommerce/service businesses |
Free, $29/month per agent |
Freshdesk |
Freddy AI |
Affordable multi-channel support |
Advanced AI limited to higher tiers |
SMBs and mid-market companies |
$18/month per agent |
Ada |
Ada Voice, Ada Email |
Self-service chat automation |
Basic features cost extra |
Large enterprise businesses |
$499/month |
Siena |
Customer Service Agent, Reviews Agent, Siena Memory |
Automated support |
Lack of visibility into support and AI performance |
Mid-market ecommerce and SaaS |
$500/month |
Yuma |
Support AI, Sales AI, Social AI |
Self-service & automation for growing teams |
Limited integrations with broader sales stacks |
Established ecommerce brands |
$49/month per agent |
To create this list, we evaluated each platform based on a combination of functionality, AI capabilities, usability, and industry applicability.
Our goal was to provide a resource that CX leaders, ecommerce managers, and support teams can rely on when choosing a helpdesk that fits their business needs.
Here’s how we approached the evaluation:
By following this methodology, we created a balanced, objective view of each helpdesk, highlighting what makes them unique, their strengths, limitations, and who will benefit most from them.
Gorgias is an AI helpdesk designed for ecommerce brands, helping teams streamline support while boosting both efficiency and personalization.
By unifying all customer touchpoints—email, chat, social media, voice, and SMS—into a single dashboard, Gorgias allows support teams to manage interactions without toggling between platforms.
Unlike most helpdesks, its AI capabilities go beyond basic automation. In addition to support, its AI can influence sales by assisting, recommending, and upselling to customers based on their shopping behavior.
Best for: Scaling startups and mature ecommerce enterprises looking to expand support capacity without increasing headcount
Potential limitations: Gorgias is focused primarily on ecommerce brands, which means it may be less suitable for companies that don’t use ecommerce platforms.
Pricing: Starts at $10/month, with advanced AI features available as an add-on.
Main features:
AI features:
Zendesk is a widely adopted AI helpdesk solution that caters to teams of all sizes, from small businesses to large enterprises. It’s known for its robust ticketing system, extensive integrations, and customizable workflows, making it a versatile choice for teams across industries.
Best for: Non-ecommerce enterprises and businesses like airlines and banks
Potential limitations: Advanced AI features and enterprise-level plans can be expensive for smaller teams, and some users report that customization for niche workflows can be time-consuming.
Pricing: Starts at $25/month per agent, with advanced AI features and enterprise options available on higher tiers.
Main features:
AI features:
Intercom combines live chat, messaging, and AI automation into a single platform that focuses on proactive customer engagement. Its conversational AI makes it easy for teams to interact with customers in real time, while its automation tools help reduce response times and increase efficiency.
Best for: SaaS companies, software companies, and mid-market teams
Potential limitations: Companies looking for a plug-and-play AI solution will need to invest time in setting up Intercom. Customers report a steep learning curve when creating workflows, organizing users, and implementing new automations.
Pricing: Starts at $39/month per seat. Fin AI is available as a standalone product for $0.99 per resolution (50 resolutions per month minimum) if you have an existing helpdesk.
Main features:
AI features:
Gladly is a customer service platform built around the concept of conversation-centric support, treating every customer interaction as a continuous dialogue rather than isolated tickets.
Best for: Customer-focused brands that prioritize personalized, ongoing conversations over transactional support—especially retail, financial services, and subscription businesses that want to strengthen loyalty.
Potential limitations: Smaller teams may find it more than they need, and advanced customization can require professional services.
Pricing: Available on request, with plans typically tailored to enterprise support teams and scaled based on users and features.
Main features:
AI features:
Kustomer is a CRM-centric AI helpdesk that integrates customer support and relationship management in one platform. Its AI capabilities allow teams to automate repetitive tasks, route tickets intelligently, and gain insights into customer history, making it ideal for businesses with complex support workflows.
Best for: Mid-to-large enterprises that prioritize powerful, custom reporting
Potential limitations: Users report an unintuitive and laggy interface, which can slow down large support teams that handle high support volumes.
Pricing: Starts at $89/month per seat, with AI features available as add-ons.
Main features:
AI features:
Tidio is an AI-powered live chat and messaging platform built for small to mid-sized businesses looking to combine automation with personalized support. Its ease of setup and affordability make it a strong choice for teams new to AI helpdesks.
Best for: Small to mid-sized ecommerce or service-based businesses looking for an easy-to-use AI chat solution to automate FAQs
Potential limitations: May not scale well for large enterprise businesses.
Pricing: A free plan is available, with paid plans starting at $29/month per agent and AI features as add-ons.
Main features:
AI features:
Freshdesk is a helpdesk platform that combines AI automation, omnichannel support, and workflow management. It’s known for ease of use and affordability, making it popular among SMBs and mid-market companies.
Best for: SMBs and mid-market companies looking for an affordable, easy-to-implement AI helpdesk
Potential limitations: Some advanced AI functionality is limited to higher-tier plans. Large enterprises may require additional configuration to fully leverage AI features.
Pricing: Plans start at $18/month per agent, with AI capabilities and advanced automation available on higher tiers.
Main features:
AI features:
Not ready to move helpdesks? These standalone AI tools plug into your existing helpdesk to add automation, self-service, and conversational support.
Ada is focused on conversational automation, enabling teams to provide self-service solutions that reduce ticket volume while improving response times.
Its no-code interface makes it accessible for non-technical teams, and its AI capabilities allow for personalized customer interactions at scale.
Best for: Large enterprise businesses looking to reduce support tickets through chat-based support
Potential limitations: Basic features that are free on competitor platforms cost extra on Ada, which limits smaller businesses looking for an all-in-one solution.
Pricing: Starts at $499/month for essential AI features. Higher-tier plans are available on request.
Main features:
AI features:
Siena is focused on providing automated support for rapidly growing ecommerce and SaaS brands. With an emphasis on efficiency and self-service, Siena helps teams reduce ticket volume and respond faster, while giving managers visibility into performance metrics.
Best for: Mid-market ecommerce and SaaS companies that want to combine automation with insights
Potential limitations: Lacks clear visibility into AI performance, which can keep support teams in the dark about support performance and customer satisfaction.
Pricing: Starts at $500/month with automated tickets at $0.90 each.
Main features:
AI features:
Yuma is focused on conversational automation and self-service solutions. It is designed to reduce agent workload while providing fast, personalized responses, making it appealing to growing ecommerce teams.
Best for: Established ecommerce brands looking to integrate sophisticated conversational AI alongside their current helpdesk
Potential limitations: Limited integrations with broader sales stacks mean brands prioritizing sales will have a hard time creating a smooth workflow.
Pricing: Starts at $350/month for 500 resolutions, with higher-tier plans for more resolutions.
Main features:
AI features:
The best AI helpdesk makes support efficient, personalized, and scalable.
Here’s a quick checklist of what to look for when evaluating an AI helpdesk:
Feature |
What It Is |
Benefit to CX Team |
---|---|---|
Smart ticket management |
AI that deflects repetitive tickets and routes complex issues to agents via macros, recommendations, and copilots |
Frees up time for higher-value tasks like customer retention and streamlined experiences |
Self-service workflows |
Automated execution of order edits, address changes, refunds, and cancellations—whenever customers ask |
Eliminates time spent on repetitive requests while offering 24/7 support |
Multi-channel support |
All-in-one platform consolidating email, chat, SMS, social media, and phone interactions |
Eliminates the need to switch between platforms while giving customers a variety of contact options |
Sales and upselling capabilities |
AI that analyzes shopper behavior and delivers targeted assistance, product recommendations, and offers |
Maximizes revenue impact for CX teams by directly influencing customer buying decisions |
User-friendly AI controls |
Intuitive tools and toggles for adjusting AI behavior through knowledge bases |
Allows teams to test and deploy AI quickly without technical expertise |
Performance insights |
Dashboards displaying performance metrics, support KPIs, revenue impact, plus custom reporting |
Maintains support quality while providing scalable insights that grow with your business |
AI learning and improvement |
Quality assurance features that improve AI through feedback, corrections, and knowledge updates |
Enables accurate responses that lead to consistent support quality and increased customer satisfaction |
The future of customer support is AI-driven, and the tools you choose today will define the efficiency, responsiveness, and satisfaction of your support team tomorrow.
If it's still early in your AI helpdesk journey, we have additional resources to help you learn more from the pros before getting started:
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TL;DR:
According to 2025 Gorgias data, chat inquiries are resolved in 24 minutes versus two days on email. It’s no wonder customers prefer live chat over any other support channel.
If you aren’t already offering live chat, it might feel like a big commitment. But when the end product is happier customers, it’s high time to catch up.
Thinking about offering live chat? Learn more about the benefits of live chat customer support, how it differs from chatbots, when and how to use it, and the best live chat tools to use based on your team’s needs.
Live chat support is a form of customer service that uses a chat widget to intake customer inquiries. Ecommerce websites, browser-based tools, and mobile apps typically offer live chat in combination with other customer service channels like email, phone, and social media.
Depending on the business, live chat support availability can vary. Some businesses choose to run live chat within their operating hours, while others extend 24/7 availability with the help of automation, conversational AI, or a dedicated off-hours team.
Related: Customer service messaging: Tips and templates for SMS + conversational channels
The main difference between live chat and chatbots is the option to speak to a live human agent.
With live chat support, customers always have the option of speaking to a live human agent. Meanwhile, chatbots can only provide customers with automated responses, whether preconfigured or generated by AI.
Live chat doesn’t just make support faster—it helps you close more sales.
Aside from quick answers, customers want confidence to buy. In fact, Hiver reports that 63% of consumers prefer live chat over phone and social media, mainly because they get instant answers while they’re still browsing.
Here are the benefits of implementing live chat for your business:
Read more: A guide to resolution time: How to measure and lower it
Live chat shines in situations where timing directly impacts whether a customer buys your product or walks away. These conversations often happen before a purchase, like when a shopper is deciding between products, has concerns about shipping, or wants to confirm your return policy.
Use live chat in these moments:
Moment |
Why Live Chat Works |
---|---|
Before a purchase |
Provides instant product education, assurance, and curbs hesitation due to a lack of information |
Order-related concern |
Resolves time-sensitive questions on shipping or changes before the customer bounces |
Checkout hesitation |
Reduces cart abandonment by addressing doubts |
FAQs |
Deflects repetitive tickets through automation, freeing agents for complex conversations |
High-value customers |
Offers high-touch service that reinforces loyalty and drives repeat purchases |
Bulk orders |
Accelerates large sales by delivering clarity when urgency is high |
You don’t need a large support team to offer high-quality live chat support. Sure, live chat can feel risky if you’re a brand with a lean CX team or high ticket volume, but when you automate the right types of conversations, it becomes one of the most impactful support channels.
Start with high-frequency, low-complexity inquiries. These are repetitive questions that don’t require an agent to resolve:
These types of tickets typically make up the bulk of your live chat volume. Automating them clears the way for agents to focus on conversations that require more specialized knowledge and nuance.
The best live chat isn’t only a messaging tool, it also comes with features that make the support agents using it more productive.
Here are the top automation features to improve live chat:
Good live chat messages are quick, helpful, and easy to follow. Poor live chat messages are slow, robotic, or long-winded.
Follow these guidelines to help keep your replies effective and consistent:
Do ✅ |
Don’t ❌ |
---|---|
Respond within your target SLA |
Leave customers waiting |
Keep responses concise |
Send long, wordy messages |
Use macros and templates as a starting point |
Manually type everything again and again |
Ask clarifying questions |
Assume you understand everything |
Be transparent if you need more time |
Promise something you can’t deliver |
Confirm resolution before ending the conversation |
End the chat without checking if the issue is solved |
Adding live chat for the first time or want to make your current setup more manageable? Start with these five steps:
You don’t need to be online at all times to offer live chat. Start by choosing live chat hours that reflect your team’s availability and peak shopping hours.
Remember to display your availability on your website clearly to manage customer expectations.
Customers who reach out to you via chat are active on your site and often close to purchasing.
Create rules in your helpdesk that flag live chat conversations as urgent, so they don’t get buried under slower channels like email. If you have a dedicated agent who handles chat, route all chat tickets to them for instant visibility.
Set up an auto-response that triggers immediately when someone starts a chat. Even a short message like “Hey! Thanks for your message, an agent will be right with you,” can reduce drop-off and give your team time to prep.
Templates that work in email may be too wordy in chat. Shorten your macros, simplify the tone, and make sure each response fits cleanly into a chat window. Use dynamic variables to pull in details like order number or shipping status without slowing down your agents.
Customers don't stop having problems when your team clocks out. When someone tries to chat outside business hours, collect their email so an agent can follow up once your support team is back online.
If you’re evaluating live chat software, here are five solid options to start with. Each one fits different team sizes and priorities.
Tool |
Pricing Model |
Best For |
Standout Feature |
Limitation |
---|---|---|---|---|
Gorgias |
Per ticket |
Ecommerce brands |
Conversational AI that handles support and drives sales with upsells, recommendations, and context-aware discounts |
Limited AI features for non-Shopify ecommerce stores |
Zendesk |
Per user |
Large CX teams with dev resources |
Highly customizable for large support orgs |
Built for general use, not ecommerce; limited email AI; high setup cost |
Intercom |
Per user |
SaaS and product companies |
Built-in onboarding and product messaging tools |
Not ecommerce-focused; limited integrations and high AI cost |
Tidio |
Per ticket |
SMBs looking for budget automation |
Affordable chatbot + live chat combo |
Lacks visual upsell tools and struggles with complex sales questions |
Richpanel |
Per user |
Early-stage teams |
Simple UI and fast time to launch |
Buggy UI, no AI Agent, slow updates, poor Shopify automation |
Gorgias helps ecommerce brands deliver fast support without cutting into your budget. Automate common questions with conversational AI, resolve tickets in seconds, support and sell, and give your team the context they need to handle complex conversations with one tool.
Want live chat that takes support to the next level? Book a demo.
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TL;DR:
Today, order visibility is table stakes. Around 50% of consumers actively track their order status to confirm it's progressing smoothly and staying on schedule.
Whether it’s order anxiety or excitement, shoppers want to see their order's status and location at any given time. Even better when they can get real-time alerts via SMS or at each point in an order’s journey.
So if you haven’t set up order tracking yet, now’s the time, because your customers already expect it. Here’s everything you need to know about the benefits of tracking customer orders and how to implement an order tracking tool for your Shopify store.
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Ecommerce vendors like Amazon have normalized order tracking. Today, most, if not all, customers expect to know where their order is.
Offering real-time tracking data for orders benefits both your customer and your business in five distinct ways:
Recommended reading: Ecommerce returns: 10 best practices for taking your online store to the next level
Here’s how to set up order tracking for Shopify stores:
As an example, we’ll show you how to set up order tracking on a Shopify store with AfterShip Tracking.
First, choose an order tracking tool like ShipBob, ShipStation, or AfterShip. These tools pull order information, tracking numbers, and shipment status to generate shipping updates for your customers.
Pro Tip: It’s best if your order tracking app integrates with your helpdesk, so that you can offer faster, context-rich customer support.
Read more: 12 best shipping software tools for ecommerce stores
Install your order tracking app of choice via the Shopify App Store. For us, it will be AfterShip Tracking.
To complete the integration, go to the AfterShip Tracking dashboard. Click Apps > View more apps > Shopify > Install app. You’ll be redirected to your Shopify settings. Read through the privacy and permission details and click Install app.
Pro Tip: Not sure if you did it correctly? Your store URL will be labelled as “Connected” on the Shopify connection page.
Time to load your order tracking app with your Shopify data. This is a crucial step to ensure your app uses your courier and order details.
On Aftership Tracking, go to Apps > Store connections > Actions to set up these two actions:
Finally, connect your order tracking app to your helpdesk.
When customer messages, shipping data, and tracking information are connected, your team can:
Read more: How to connect AfterShip Tracking to Gorgias
It’s important to make order tracking accessible to customers, wherever they are. And since more than 68% of orders are done through smartphones, it’s critical to design every tracking touchpoint with a mobile-first experience in mind.
Order tracking should be available in:
Depending on your needs and the ecommerce platform you use, choose from options that are both scalable and flexible.
ShipBob is a global logistics platform that helps ecommerce brands provide fast, affordable shipping and best-in-class order fulfillment. Its connected technology and fulfillment network improve delivery times, reduce costs, and elevate the customer experience.
Standout features:
Check out ShipBob in the Shopify App Store or the BigCommerce App Store.
AfterShip is a shipment tracking and notification platform that helps ecommerce brands keep customers informed and improve delivery transparency. It streamlines post-purchase communication and makes it easier to spot delivery issues before they affect customer experience.
Standout features:
Check out AfterShip in the Shopify App Store and the BigCommerce App Store.
ShipStation is a shipping software solution that helps ecommerce businesses save time and money by comparing carrier rates and delivery times in one place. It automates shipping workflows to ensure customers get fast, cost-effective delivery.
Standout features:
Check out ShipStation in the Shopify App Store and the BigCommerce App Store.
ShipMonk is a third-party logistics (3PL) provider that helps ecommerce businesses scale with fast, affordable fulfillment services. Its technology-driven platform streamlines order, inventory, and warehouse management to deliver a seamless post-purchase experience.
Standout features:
Check out ShipMonk in the Shopify App Store.
Whether you ship 50 or 50,000 orders a month, Easyship can help you lower shipping costs and increase conversion rates. Use this extension to manage your post-purchase process in the most efficient way for your business.
Read more about Easyship in the Magento Marketplace.
Recommended reading: 12 best shipping software for ecommerce
The Mageworx Order Editor extension lets you edit customer errors. Quickly fix any mistakes customers make during checkout like incorrect street numbers, phone numbers, names, shipping, or billing details.
You can also add or remove products, change pricing, and add coupons after an order has been placed. This saves your customer support team from having to cancel the order and start it again from the beginning.
Learn more about Mageworx Order Editor in the Magento Marketplace.
Use Gorgias to centralize order tracking, automate status updates, and deliver real-time delivery info, all in one place. By deflecting repetitive WISMO tickets, your team saves time, boosts CSAT, and focuses on higher-value conversations that drive retention and revenue.
Book a demo to see how Gorgias integrates with your order tracking system.
TL;DR:
If you’ve been side-eyeing AI and wondering if it’s just hype, you’re not alone. A lot of CX leaders were skeptical, too:
“I used to be the loudest skeptic,” said Amber van den Berg, Head of CX at Wildride. “I was worried it would feel cold and robotic, completely disconnected from the warm, personal vibe we’d worked so hard to build.”
But fast forward to today, and teams at Wildride, OLIPOP, bareMinerals, and Love Wellness are using AI to do more than just deflect tickets. They’re…
Here are six lessons you can steal from the brands doing it best.
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We need to get one point across clearly: AI isn’t about replacing your support team.
For brands with lean CX teams, burnout is a serious problem. And it’s one of the biggest reasons AI adoption is accelerating.
“I was constantly seeing the same frustrating inquiries—sponsorship asks, bachelorette party freebies, PR requests… 45% of our tickets were these kinds of messages,” said Nancy Sayo, Director of Consumer Services at global beauty brand, bareMinerals.
“Once I realized AI could handle them with kindness and consistency without pulling in my team, I was sold.”
Instead of thinking of AI as a replacement, think of it as an enhancement.
It’s about making sure your CX team doesn’t burn out answering the same five questions 50 times a day.
With Gorgias AI Agent, Nancy’s team now uses automation to absorb the high-volume, low-conversion noise, freeing up their seasoned agents to focus on real revenue-driving moments.
“We use AI to handle low-complexity tickets. And we route higher-value customers to our human sales team—people who’ve been doing makeup for over a decade and really know what they’re doing.”
TL;DR? The smartest teams use AI to take the weight of repetitive tickets (“Do you ship internationally?” “Can I get free samples?”) off their shoulders so agents can focus on conversations that build trust, drive loyalty, and increase LTV.
While you can get started with AI quickly for simple queries, we don't recommend using it “out of the box.” And honestly, that’s a good thing.
Brands that “set it and forget it” are missing the point. Because if you want AI to sound exactly like your brand—not like every other chatbot on the internet—you need to give it the same context you’d give a new hire.
Amber van den Berg, Head of Customer Experience at baby carrier brand Wildride, wrote out detailed tone guidelines, including:
“Lisa, our AI agent, is basically a super well-trained intern who never sleeps. I give her the same updates I give my human team, and I review Lisa’s conversations every week,” said Amber. “If something feels off-brand, too robotic, or just not Wildride enough, I tweak it.”
The feedback never stops, and that’s what makes Lisa so effective.
Related: Meet Auto QA: Quality checks are here to stay
Even when AI gets it right, customers might not always feel like it did. Especially if the tone of voice is off or if your customer base just isn’t used to automation.
“Our CSAT was low at first,” said Nancy Sayo of bareMinerals. “Even if the response was accurate and beautifully written, our older customers just didn’t want to interact with AI.”
So Nancy’s team adapted. Rather than giving customers a blunt “no” to product requests, they restructured the flow:
“If someone asked for free product, we’d say, ‘We’ll send this to the team and follow up.’ Then, 3-5 days later, the AI would close the loop. It softened the blow and made customers feel heard—even if the answer didn’t change.”
That simple tweak raised CSAT and created a better customer experience without requiring a human to step in.
Inside Gorgias, teams like bareMinerals review AI performance weekly, not just to catch mistakes, but to optimize for tone, satisfaction, and brand feel. They use:
AI gives you the flexibility to test, tweak, and tailor your approach in a way traditional support channels never could.
Too many CX teams still treat AI like a glorified autoresponder. But the most forward-thinking brands are using it to guide shoppers to checkout.
“Our customers often ask: ‘Which carrier is better for warm weather?’ or ‘Will this fit both me and my taller partner?’” said Amber van den Berg, Head of CX at Wildride. “Lisa doesn’t just answer—she gives context, recommends features, and highlights small touches like the fact that a diaper fits in the side pocket.”
With Gorgias Shopping Assistant, brands can turn AI into a proactive sales assistant—answering product questions in real time, referencing what’s in the customer’s cart, and nudging them toward the best option with empathy.
Great support doesn’t stop at the inbox. At Love Wellness, CX is the connective tissue between ecommerce, product, and marketing.
“We meet quarterly with our CX and ecommerce teams to review top questions, objections, and patterns,” said Mckay Elliot, Director of Amazon at Love Wellness. “That feedback goes straight into product development and PDP optimizations on both DTC and Amazon.”
But it’s not just a quarterly ritual. Feedback sharing is embedded in the culture, and they do this with a Slack channel dedicated to customer feedback.
Dropping in insights is part of the team’s daily and weekly responsibilities. It helps everyone stay close to the content, and it sparks real collaboration on what we can improve. They then use those insights to improve ad messaging and content.
Your team has so much data they can review between channels like email, SMS, chat, and social media—both compliments and complaints. You need to be willing to listen to every customer’s needs.
Read more: Why customer service is important (according to a VP of CX)
One of the biggest mistakes brands make with AI? Trying to do too much, too soon.
Rolling out AI should feel like a phased launch, not a switch flip. The best results come from starting simple, testing often, and iterating as you go.
“We started with one simple question—‘Do you ship internationally?’—and built from there,” said Amber van den Berg of Wildride.
“And if it doesn’t work? You can always turn it off,” added Anne Dyer, Sr. Manager of CX & Loyalty Marketing at OLIPOP. “The key is to test, review, and keep iterating. AI should enhance your human experience, not replace it.”
If your helpdesk supports it, start in a test environment to preview answers before going live. Then roll out automation gradually by channel, topic, or ticket type and QA every step of the way.
For most brands, the best starting point is high-volume, low-complexity tickets like:
You don’t need to solve everything on day 1. Just commit to one question, one channel, and one hour per week. That’s where real momentum starts.
Related: Store policies by industry, explained: What to include for every vertical
Most CX teams are used to tracking classic metrics like ticket volume and CSAT. But when AI enters the mix, your definition of success shifts. It’s not all about how fast you handle tickets anymore—it’s about how customers feel after conversations with AI, team efficiency, and the quality of every interaction.
Here are the metric CX teams used to track without AI—and what they track now with AI:
Metrics Tracked Before AI |
Metrics Tracked After AI |
---|---|
Total ticket volume |
% of tickets resolved by AI |
Average first response time |
Response time by channel (AI vs. human) |
CSAT (overall) |
CSAT + sentiment on AI-resolved tickets |
Tickets per agent/hour |
Time saved per agent + resolution quality |
Burnout rate or turnover |
Agent satisfaction or eNPS |
AI isn’t here to replace your CX team. It’s here to free them up, so they can focus on deeper, more meaningful conversations that build loyalty and drive revenue.
So if you’re on the fence, start small. Train it. Review weekly. Build the muscle.
You’ll be surprised how quickly AI becomes your favorite intern.
If you want more tips from the experts featured today, you can:
TL;DR:
Today’s best marketing starts with your customers.
According to Forrester’s 2024 research, “Customer-obsessed organizations reported 41% faster revenue growth, 49% faster profit growth, and 51% better customer retention than those at non-customer-obsessed organizations.”
Support teams interact with hundreds or thousands of customers every week, collecting valuable insights in the process. This voice of the customer (VOC) data is a goldmine for marketers, but it too often stays siloed among CX teams.
Ahead, we’ll break down how ecommerce brands can tap into CX insights to drive better marketing.
CX can play a crucial role in driving growth, but many brands aren’t leveraging it for marketing insights yet.
When connected to marketing, CX becomes a proactive engine that fuels better segmentation, sharper messaging, smarter campaigns, and more personalized content.
Support functions collect objections, complaints, compliments, and pre-purchase questions. When you capture and apply those insights, your marketing can target the precise roadblocks—and key sales differentiators—customers care about.
Here’s how to turn CX insights into a high-impact marketing strategy, with real examples from brands using Gorgias.
When you want to sharpen your brand messaging, there’s no better place to look than your support inbox. Your support inbox is a rich resource full of information specific to your brand and your customers.
Tools like Gorgias Ticket Insights help surface recurring themes, top questions, and friction points across all conversations. By analyzing these patterns, marketers can identify the exact words customers use to describe problems, questions, or product feedback and then reflect that language across ads, landing pages, and emails.
Spikes in tickets around specific topics (sizing, shipping timelines, and materials, for example) are insights marketers can use to update and improve corresponding content.
This can increase confidence and conversion on key pages.
By incorporating the same terminology and phrasing customers use in support conversations, brands can also increase resonance across ads, emails, and social media. Messaging that mirrors the customer’s language builds trust and helps audiences feel understood.
Ask your CX team 💬 What product issues or themes have emerged this quarter?
For example, cordless heating cushion brand Stoov® used Ticket Fields in Gorgias to understand and resolve a ticket spike. By figuring out that some customers were dissatisfied with the battery life of its core product offering, the team was able to add an optional upsell. For €20, shoppers now have the option to purchase a larger battery.
The results were meaningful: the brand saw 50% of customers opt for this battery, resulting in a 10% increase in average order value (AOV). And while the team saw a significant increase in revenue, they saw no increase in support ticket volume.
Most marketers rely on transactional data—like past purchases or time since last order—to build audience segments. But support data reveals a whole new layer of context: behavior, concerns, sentiment, and urgency.
Tools like Gorgias’s Ticket Insights and Ticket Fields allow CX teams to customize different properties attached to tickets. Agents can fill these out to capture data more accurately.
Here’s how these types of tools work: tickets come with a mandatory field for return reasons, product feedback, contact reason, etc. Before the agent closes the ticket, they use a dropdown menu to fill out the ticket field.
Studying support interactions helps answer key questions around why customers are getting in touch. This data can provide marketing teams with a way to build smarter segments for campaigns or personalized journeys.
For example, if one product is getting a large amount of inquiries, marketing teams could segment customers interested in those products and launch pre-sales education campaigns.
Fashion brand Psycho Bunny switched from Zendesk to Gorgias to improve access to reporting tools that surfaced customer patterns and support trends.
“By cross-referencing our Gorgias data with insights around basket size, product performance, and store performance, we can inform broader business decisions. For example, we can see if a certain store location generated more tickets or how many incoming queries are about a certain product,” says Jean-Aymeri de Magistris, VP IT, Data & Analytics, and PMO at Psycho Bunny.
By integrating insights like these with marketing workflows, teams can build more relevant segments that improve retention and engagement.
Ask your CX team 💬 Which customer segments are most likely to churn or repurchase?
Chat campaigns are proactive messages that trigger based on real-time behavior and context. You can use CX trends to design campaigns that directly address common objections, answer FAQs, or deliver tailored offers.
Start by reviewing your most common pre-purchase questions with your CX team. Then, create chat prompts that address those concerns exactly where they arise. For example, a sizing guide prompt on product pages or a shipping FAQ in the cart.
Make sure your message feels helpful and not overly salesy. Conversational AI assistants like AI Agent can also tailor responses in real-time, helping customers get what they need without leaving the page.
Pepper, a size-inclusive bra brand, put this into practice by combining their AI Agent (named Penelope) with targeted chat campaigns to guide shoppers through one of their most common friction points: sizing. Thanks to insights from their support team, Pepper created messaging that helped customers find the right fit instantly. The result was an 18% uplift in average order value.
“With AI Agent, we’re not just putting information in our customers’ hands; we’re putting bras in their hands. With Penelope on board, we’re turning customer support from a cost center to a revenue generator,” says Gabrielle McWhirter, CX Operations Lead at Pepper.
Ask your CX team 💬 How are customers reacting to recent promotions or launches?
When shoppers hesitate at checkout, it’s often because they don’t have the information they need.
Tapping into support conversations allows CX teams to identify common objections. They can then share those insights with marketing to refine product messaging, improve product pages, ads, and marketing campaigns.
Use customer service data to identify the top three objections customers have before converting. These might be concerns about sizing, compatibility, delivery time, or product setup. Then, pair that knowledge with a proactive AI sales tool like Shopping Assistant to offer timely answers that move shoppers closer to purchase.
For example, TUSHY, a modern bidet company, found that many prospective customers were hesitant because they weren’t sure how difficult the installation would be. By using a real-time shopping assistant to address these concerns directly on-site, TUSHY was able to guide shoppers past uncertainty.
Ask your CX team 💬 What are the top three reasons customers contact us before they buy?
If you want to know what content your customers actually need, your Help Center holds the answers. Real customer questions are found right in Help Center search queries and article analytics.
By tracking which articles are most viewed, most searched, and most frequently updated, marketers can spot common knowledge gaps and fill them with high-value content.
Start by reviewing your Help Center Statistics to see which articles are performing well, which ones are underutilized, and what terms customers are searching for.
If an article about “returns policy” is getting a spike in views, that’s your cue to simplify the policy or preempt questions with a dedicated email campaign. Marketing teams could also use this insight to build FAQ-rich landing pages, preempt questions in email flows, or even turn top-performing help content into organic blog posts or performance ad copy.
You can also use Gorgias's Dashboard to spot emerging trends across all your channels. This custom reporting feature lets you choose from various charts that reveal high-level patterns—like the most common contact reasons or sudden spikes in ticket volume—giving marketers early insight into shifting customer sentiment and trending topics across social platforms.
Ask your CX team 💬 Which articles in our Help Center are most searched right now?
When support and marketing teams collaborate, you unlock a cycle of continuous improvement. CX teams surface the insights, marketing turns them into strategy, and both sides drive measurable results.
Here’s how to make it work:
We need to reframe CX as a proactive function that drives revenue.
Support teams already have the answers marketers are searching for. You just need the tools to tap into them. Gorgias makes that easy, with flexible reporting features, powerful AI, automated tagging, and integrations that bridge the gap between CX and marketing.
Want to connect your support data to better marketing?
Explore Gorgias’s analytics tools or book a demo to speak to a product expert about how to integrate your support strategy with marketing.
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TL;DR:
Doing nothing when there’s rapid change happening in an industry is risky business.
Right now, according to our latest report, 2025 Ecommerce Trends, 77.2% of ecommerce professionals are already using AI in their day-to-day work. What happens if you’re part of the 22.8% that isn’t?
Inaction is action—one that’s a quiet drain on revenue, resources, and reputation.
Every minute spent on manual work is a minute your competitors are focusing on higher-value customer interactions, improving CX, testing offers, and scaling campaigns.
And the cost of falling behind is compounding fast. Here’s what you’re losing when you pass on AI.
As support volume grows, so does the cost of inefficiency.
Nearly 80% of CX professionals say AI saves them time. In fact, 83.9% of support leaders using AI in Gorgias say it has made their teams more efficient.
Trove Brands experienced this firsthand:
If AI can handle 70% of your support tickets, your team finally has the time—and headspace—to focus on the 30% that actually builds trust, drives repeat revenue, and improves the customer experience.
Hot take: AI isn’t impersonal. Not using it is.
In 2024, nearly one-third of CX leaders worried AI would make interactions feel less human. A year later, that number dropped by half.
Why? Brands started to see that AI wasn’t hurting the customer experience, it was removing friction from it.
For sensitive or personal products—think wellness supplements, intimate gifts, or anything a shopper might feel awkward asking about—AI creates space for honesty without judgment. And that can change the outcome entirely.
“Too often, a great interaction is diminished when a customer feels reduced to just another transaction,” said Ren Fuller-Wasserman, Senior Director of Customer Experience at TUSHY. “With AI, we let the tech handle the selling—unabashedly, if needed—so our future customers can ask anything, even the questions they might be too shy to bring up with a human. In the end, everyone wins.”
It’s a powerful point, especially for brands where discretion matters. AI removes that barrier.
You're losing trust if your support experience still makes customers hesitate. For many, that means being able to get an answer without needing to explain themselves first.
Every unanswered pre-sale question or missed upsell is revenue slipping through your fingers.
Product recommendations alone have the potential to increase revenue by up to 300%, boost conversion rates by 150%, and drive 50% higher AOV. But those results don’t come from hoping customers find what they need. They come from proactively guiding them.
That’s where AI comes in.
With Gorgias AI Agent and automation features, for example, Kirby Allison
“Our favorite features are definitely Flows and Article Recommendations. They drive so much automation for us. Shoppers get answers to their questions by themselves—what’s the right size hanger, where is my order, what shoe polish would you recommend, etc,” said Addison Debter, Head of Customer Service.
Flows let Kirby Allison surface up to six commonly asked questions directly in the chat widget. When clicked, each one opens a relevant help article—no agent needed.
Auto responses also allowed the team to handle common inquiries like sizing, shipping, and order tracking before a human ever steps in.
If your support team isn’t set up to handle pre-sale conversations at scale, the cost isn’t just in time. It’s in all the revenue you never realize you’re missing.
It might sound counterintuitive, but AI gives your team more space to be human.
The myth that AI replaces agents is still floating around in some circles, but the reality inside fast-growing ecommerce teams looks different.
In fact, AI frees up time for your team to focus on what they do best: solving complex problems, building relationships, and creating moments that actually drive loyalty.
SuitShop is a perfect example of this in action. When the team adopted AI Agent, they paired automation with intentional escalation:
“We’re helping customers feel confident during some of the most important moments in their lives—weddings, proms, job interviews, and everything in between. Naturally, my biggest concern with introducing AI was: ‘Will customers feel like they’re getting the same level of care from AI?’ But learning that AI Agent would pull knowledge from our Help Center articles and Macros, which are already written in our brand voice, made me feel more confident,” said Katy Eriks, Director of Customer Experience.
AI was able to handle common pre-sale questions like shipping timelines and product availability, while human agents stepped in for customizations, wedding-specific questions, and tailored styling support.
The goal wasn’t to remove the human element. It was to give their agents the time and context to show up more meaningfully.
In just one year, AI adoption among Gorgias users jumped from 69.2% in 2024 to 77.2% in 2025.
Excitement is rising, too: 55.3% of ecommerce professionals now rate their interest in AI as 8–10 out of 10, up from 45.6% the year prior.
AI is no longer in its experimental phase. It’s the standard, baked into everyday workflows across ecommerce.
If you’re still on the sidelines, 2026 is going to feel like a catch-up game.
The good news? You don’t have to overhaul everything to get started.
So while we’re on the topic of speed, let’s walk through how to start implementing AI for your brand.
You don’t need to automate everything on day one. The best CX teams start small, pick the right entry points, and give AI the same level of care you’d give a new team member. Here’s how to roll out AI in a way that actually works:
When searching for a new AI tool to help you manage CX, look for one that:
Price matters, but it shouldn’t be your only filter.
Also, AI should make your team feel more capable. If it feels like a bolt-on or requires constant developer help, it’s going to create friction, not solve it.
The most successful AI implementations all have one thing in common: someone owns it.
“One of our CX Managers spent 30–40 hours a week building and refining AI. That ownership was critical,” said Sarah Azzaoui, VP of Customer Experience at Clove, when she was explaining how her team first got started with AI.
What many people don’t realize is that AI isn’t going to be perfect out of the gate. AI takes real time and intention to build out. Assigning a clear point person—or better, a small squad—ensures someone is tracking performance, making optimizations, and flagging edge cases.
No one knows your customer conversations better than your support team. They see the full range of questions, tone, friction points, and emotional nuance every day.
Bringing them into the AI rollout early helps you:
This step also builds trust. If your agents feel like AI is something being done with them instead of to them, adoption is smoother and the outcomes are better.
One of the biggest mistakes brands make with AI is trying to do too much, too soon. AI rollout should feel like a phased launch, not a switch flip.
Start in a test environment if your platform allows for it. Roll out automation in stages—by topic, channel, or ticket type—and QA every step of the way.
We suggest beginning with high-volume, low-complexity tickets like:
Platforms like Gorgias offer tools like Auto QA that track whether AI responses hit the right tone, offer accurate answers, and resolve issues effectively. Use those tools to catch gaps early and monitor performance over time.
That slow, deliberate rollout pays off in performance. At Psycho Bunny, AI Agent now automates 30% of customer tickets, with custom messaging that reflects their brand tone and processes.
Once you’re ready to scale, you’ll feel more confident that the simple queries are handled correctly while you start to train the AI on more nuanced questions.
For example, Gorgias’s Guidance feature gives AI access to non-public SOPs so it knows how to respond or when to escalate.
“The Guidance feature is so important,” said Tosha Moyer, Senior Customer Experience Manager at Psycho Bunny. “We have a lot of processes that we definitely don’t want described in a customer-facing article, but we want AI Agent to be able to access that information and manage tickets accordingly.”
Even the best AI platform can’t succeed without solid inputs.
Before you roll out, take a hard look at your help docs and macros:
Think of this step as training your AI. The stronger your internal content library, the more helpful and brand-aligned your AI will be across every channel.
Whether you disclose AI usage is up to you, but be intentional.
Some brands choose anonymity for a more seamless experience. Others find that transparency builds trust, especially when something goes wrong.
What matters most is that your approach aligns with your brand tone and customer expectations—and that clear escalation paths are in place if a conversation needs a human.
Research shows that 85% of consumers want companies to share their AI assurance practices before rolling out AI-powered experiences. Customers are open to AI. But they expect clarity when it counts.
Once you’ve built the foundation, scaling AI across your CX org becomes a lot easier.
“We started with cancellations. Now we’re rolling out warranty claims, retention campaigns, and more,” said the team at Trove Brands.
After proving value with one or two ticket types, look for opportunities to expand:
The goal is to implement smarter automation that makes your team more effective and your customers more supported.
The best CX teams aren’t choosing between AI and human agents. They’re choosing both and building stronger systems because of it.
“It’s not human agents vs. AI,” said the team at Clove. “Our team helped shape the AI strategy—and that changed everything.”
But ignoring AI? That comes at a cost. And it’s not just inefficiency. It’s:
It’s time to build it into your workflows. Not just as a helper, but as a core part of your team.
Start using Gorgias AI Agent to reduce ticket load, recapture revenue, and deliver the kind of support that actually feels personal.
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TL;DR:
Automated responses don’t actually resolve anything. In reality, they increase customer wait time.
What a customer really wants is immediate resolution, whether they’re looking to cancel an order, change a shipping address, or pause a subscription.
So, how do you go beyond automated text responses? AI Agent Actions.
Below, we’ll go over the 7 most common customer service requests you can resolve with AI Agent Actions, so your team gets time back to strengthen customer relationships, increase revenue, and improve your CX strategy.
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AI Agent Actions are tasks AI Agent can complete for your customers, such as canceling an order or updating a shipping address.
Instead of handing it off to a human agent, AI Agent resolves the ticket by connecting to your ecommerce apps and performing the action on its own.
You get maximum control over when and how Actions are executed. Before performing the Action, AI Agent asks customers for confirmation, respecting your processes and maintaining a high level of customer service. Once an Action has been taken, you can even share feedback with your AI Agent to reinforce its behavior or finetune it further.
Pro Tip: Unlike Guidance, which tells AI Agent how to respond in a conversation, Actions determine what happens. It’s the difference between saying “I’ll refund your order” and doing it.
Related: How AI Agent works & gathers data
Ready to resolve requests in seconds? Activate these pre-built Actions in Gorgias to keep your team efficient and your customers happy.
Action to use: Update shipping address
Supported apps: Shopify, ShipMonk, ShipHero, ShipStation
Incorrect shipping addresses lead to costly re-shipments, delays, and even refunds. Catch errors early to keep customers satisfied and excited about their order.
Why do you need this Action?
The reality is your agents aren’t available 24/7. Unless you hire a team to cover night and weekend shifts (which is unlikely), requests will be missed. AI Agent fills in that gap, handling time-sensitive issues when your team is off the clock. Missing them isn’t just about poor customer experience—it can also lead to extra costs, like reshipping orders.
Action to use: Cancel order
Supported apps: Shopify, ShipMonk, ShipHero, ShipStation
Perhaps a customer ordered the wrong item, chose the wrong size, used the wrong card, or simply changed their mind. Allow them to quickly cancel their order and receive a refund in one go.
“Actions responds to tickets within about 30 seconds and is available 24/7. Regardless of when a customer places their order, the likelihood of quickly catching and canceling the order has increased by 70% since we started using Actions. It’s an exceptional result."
—Jon Clare, VP of Customer Service at Trove Brands
Actions to use:
Supported app: Shopify
It happens—shoppers order the wrong size or color and want to change their order immediately. Regardless of the reason, make their new decision easy to implement. Quick, accessible order updates prevent returns, lost revenue, and, most importantly, customer disappointment.
Here’s what the replace order item setup looks like in Gorgias:
Pro Tip: If you have unique workflows, you can create advanced, multi-step Actions and connect to your tools beyond our default integrations. This option requires some tech know-how (like custom HTTP requests), so feel free to bring in your developers for assistance.
Actions to use:
Supported apps: Stay AI, Recharge, Subscriptions by Loop, Skio, Seal Subscriptions
Subscriptions shouldn’t be all or nothing. Let customers skip a shipment or pause their subscription, so they can come back when they’re ready. Giving them full control lets them manage their subscription on their own terms, reducing churn rate in the process.
Here’s how AI Agent handles a skip shipment request:
Action to use: Reship order for free
Supported apps: Shopify, ShipMonk
No customer expects a lost or damaged order. Let customers know that you have their backs by reshipping a new order free of charge. Fast resolutions during unexpected events demonstrate your commitment to customer satisfaction.
“An instant response builds confidence. We live in a world with short attention spans, so customers appreciate how quickly we can respond to their inquiries. Customers aren’t worrying unnecessarily for longer than they have to for an address change or order cancellation.”
—Mia Chapa, Sr. Director of Customer Experience at Glamnetic
Action to use: Send return shipping status
Supported app: Loop
Customers want to know that their return package is on its way to you, so they can redeem their refund. Easily send them a shipment tracking link to give them that peace of mind.
Action to use: Get order info
Supported apps: Shopify, ShipHero, ShipMonk, ShipStation, ShipBob, Wonderment
Based on Gorgias data, order status ranks among customers' top 10 questions for support teams. Reassure your customers with quick updates on their orders, including product details, shipping progress, expected delivery date, and other helpful information.
Here are a few helpful setup tips to make sure Actions run without a hitch:
If you want…
AI Agent Actions can get you there.
You’ve now seen how Actions can resolve tickets in a snap—no unnecessary handoffs, canned responses, or long response times.
Book a demo to see AI Agent Actions work in real time and start automating what you shouldn’t be doing manually anymore.
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TL;DR:
AI Agent is built to deliver fast, accurate support at scale, but like any teammate, it performs best when given clear and specific instructions.
That’s where Guidance comes in. Writing structured prompts that tell your AI Agent exactly what to do in a given scenario helps reduce escalations, speed up resolutions, and create a more consistent customer experience.
One simple, repeatable way to do that is with the “When, If, Then” framework.
In this post, we’ll show you how it works, using examples from our Gorgias Academy course, Improve AI Agent with Better Guidance.
You’ll learn how to write Guidance that results in:
Let’s break it down.
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Guidance is how you tell your AI Agent what to do. It’s a set of instructions that outlines how your AI Agent should respond in specific situations.
When Guidance is available, your AI Agent follows it first, even before checking your Help Center or website content.
That means if your Guidance is missing, unclear, or incomplete, your AI Agent might escalate the ticket, or worse, give a confusing or unhelpful response. Here’s an example:
Let’s say a customer wants to return an item. A human agent would send them a link to the return portal and explain the steps. But without that instruction in Guidance, your AI Agent might skip straight to escalation, turning a simple request into unnecessary work for your team.
That’s why clear, step-by-step Guidance is key to help your AI Agent respond the way your best support agent would.
Learn more: Create Guidance to give AI Agent custom instructions
Sometimes it’s hard to know where to start when writing Guidance. The “When, If, Then” framework gives you a simple, repeatable structure to follow, so there’s no need to guess.
Taking this approach mirrors how AI Agent processes information behind the scenes. When you write clear Guidance, your AI Agent can follow it step by step, just like a support teammate would.
Let’s walk through the three parts of the framework.
Start by identifying the situation your Guidance applies to. This is the trigger or scenario. Use it as the title of your Guidance so it’s easy to find later.
Example:
Keep it simple and action-oriented. You’re setting the stage for what comes next.
Once you’ve defined the scenario, add any conditions that determine what should happen. “If” statements help your AI Agent understand what to do based on specific details, like timing, order history, or customer tags.
Example:
Use as many “if” conditions as needed to guide different outcomes. Just make sure you cover all the possibilities so your AI Agent doesn’t get stuck.
This is where you tell your AI Agent exactly what to do. Be specific and use bullet points or numbered steps to keep things clear.
Example:
The more clearly you outline the steps, the more consistently your AI Agent will perform.
The framework keeps your Guidance simple, structured, and easy to understand—for both your team and your AI Agent. When your AI Agent knows exactly what to do, it can deliver fast, accurate, and helpful responses that keep customers happy.
Say a shopper messages your store asking to return an item and you want AI Agent to send them to your return portal.
Here’s how this looks in a complete piece of Guidance:
WHEN a shopper asks to return an order:
IF the order was placed less than or equal to 15 days ago,
THEN
These nine scenarios come up constantly in ecommerce support, and they’re perfect candidates for automation. They follow predictable patterns and are quick to resolve when your AI Agent knows what to do.
Use the examples below to jumpstart your setup. Each one is written using the When, If, Then framework and can be copied directly into Gorgias.
WHEN a customer asks about their order status:
IF tracking information is available,
THEN
IF tracking information is unavailable,
THEN
WHEN a customer inquires about product sizing for [item name]:
IF the customer asks what size to get, or mentions they’re unsure about sizing,
THEN
WHEN a customer requests to change their shipping address:
IF the order has not been fulfilled,
THEN
IF the order has already been fulfilled,
THEN
WHEN a customer asks to cancel their order:
IF the order has not been fulfilled,
THEN
IF the order has already been fulfilled,
THEN
WHEN a customer asks about returning an item:
IF the return is within the allowed return window of [x] days after the order was received,
THEN
IF the return window has expired,
THEN
WHEN a customer inquires about discounts or promo codes:
IF there is an active promotion for [item name],
THEN
IF there are no active promotions for [item name],
THEN
WHEN a customer requests to pause their subscription:
IF the customer has an active subscription,
THEN
WHEN a customer asks about product restocking:
IF a restock date is available,
THEN
IF the restock date is unknown,
THEN
WHEN a customer inquires about international shipping:
IF international shipping is available,
THEN
IF international shipping is not available,
THEN
Pro Tip: Test out your Guidance by going to AI Agent > Test, and iterate as you go.
If your AI Agent isn’t following your Guidance, or it’s escalating tickets you thought it could handle, run through this quick checklist to spot the issue:
Don’t have time to write Guidance from scratch? The good news is AI can help with that, too.
AI-generated Guidance is available for all AI Agent subscribers. This feature analyzes your historical ticket data and uses it to generate ready-to-use, customizable prompts for your AI Agent.
Here’s what it does:
Clear, structured Guidance is the key to unlocking better performance from your AI Agent. With just one well-written “When, If, Then” prompt, you can reduce escalations, speed up resolutions, and give your shoppers a smoother experience.
Not sure where to start? Try writing Guidance for one common question today—like returns, order status, or promo codes. Or, if you want to go deeper, check out our free Gorgias Academy course.
TL;DR:
As ticket volume grows, even the best CX teams start running into roadblocks: limited integrations, repetitive manual work, clunky interfaces, and slower response times. You patch things together. You make it work... until you can’t.
Many growing ecommerce brands find themselves trapped in a system that demands constant workarounds just to function.
If your current customer service platform feels more like a burden than a backbone, you’re not alone—and you’re not stuck.
In this post, we’ll walk through:
There’s a tipping point most brands hit as they scale. The signs are subtle at first—maybe your agents are taking longer to respond, or the volume of customer support tickets quietly outpaces your team. Then it starts affecting revenue, customer satisfaction, and retention. Big yikes.
Left unchecked, small inefficiencies can snowball into bigger operational challenges.
Catch these warning signs before they start costing you growth:
Support teams that are always playing catch-up rarely have time to focus on higher-value work. If your inbox is constantly overflowing or first response times are creeping up, it’s likely a sign your tools aren’t scaling with your business.
That’s exactly what happened with apparel brand Psycho Bunny.
“As we grew and expanded, we needed a tool that was better suited for Shopify, easier to manage, and offered better support to help us get the most out of the tool,” said Jean-Aymeri de Magistris, VP IT, Data & Analytics, and PMO at Psycho Bunny.
If your agents are spending more time gathering context than solving problems, you’re losing time (and likely, patience) on both sides of the conversation. Fragmented tools can seriously undercut productivity.
Dr. Bronner’s experienced this firsthand, juggling Salesforce, spreadsheets, and disconnected systems.
“When I joined, we were logging calls and emails in Excel. It wasn’t scalable,” recalled Emily McEnany, Senior CX Manager at Dr. Bronner’s.
Some platforms require technical support even for small changes, such as custom workflows, new automations, or basic integrations. That may work at the start, but it becomes a bottleneck as your brand grows.
Disconnected systems strip away context, increasing the risk of mistakes. Whether it’s pulling up an order status or managing a return, agents need tools that work together, not against each other.
Every support team deals with repetitive inquiries. But without automation or self-service options, those tickets eat into your team’s time and keep you from focusing on higher-impact conversations.
Nude Project struggled to keep up with their ticket volume due to Zendesk’s lack of intuitive automation features. During Black Friday, the team received a record-high number of tickets—more than double their average volume.
“Connecting with customers through a screen is not always easy. With the high volume of messages, we need a tool that simplifies operational tasks while enabling effective communication and organization,” said Raquel J. Méndez, CX Manager at Nude Project.
Your platform should be easy for new hires to learn and for your team to evolve with. If ramping up agents takes weeks (or months), the platform might be getting in the way more than it’s helping.
Arcade Belts went through this process, trying one system, then switching back to one that better matched their needs.
“It just took a demo or two to realize what was actually going to support our team the way we needed,” their Ecommerce Coordinator, Grant, shared.
If any of these challenges sound familiar, you’re not alone.
The important part is recognizing when you’ve outgrown your current setup—and knowing that there are options out there to help you move faster.
Switching platforms isn’t just about solving today’s problems. It’s about creating space for your team to be efficient, serve customers better, and turn support from a cost center into a real growth engine.
Need to migrate to a new platform? Look for the following:
As your brand grows, support volume naturally increases.
Find a stable infrastructure that can handle that growth, has zero platform lag, and a robust engineering team that continuously makes the tool better for your needs.
To Psycho Bunny, Zendesk was a “legacy tool”—so they switched to Gorgias.
In just a few weeks, they migrated all historical conversations, tags, and Macros to Gorgias. Jean-Aymeri, their VP IT, credits Gorgias’s helpful onboarding specialists for making it effortless to integrate their apps and onboard their team onto a brand new tool.
Related: The engineering work that keeps Gorgias running smoothly
From “where’s my order” questions to return policies, prioritize AI tools that can automate repetitive inquiries.
Dr. Bronner’s implemented AI Agent to handle rising volumes of FAQs, allowing their team to focus on complex requests that require a human touch.
In just two months, they saw:
By systematizing the simple stuff, they freed up bandwidth to focus on what matters most—building relationships and solving more nuanced problems.
More brands are rethinking how support contributes to revenue. Look for a tool that combines support and sales. The most effective ones use AI to initiate upselling conversations, so your team can generate new revenue without needing to scale headcount at the same rate.
For jewelry brand Caitlyn Minimalist, which normally saw 30,000 tickets per month, AI Agent was the perfect fit. On top of answering FAQs, AI Agent also helped recommend products based on customer needs.
These conversations often begin as simple inquiries (“What should I get for my friend’s birthday?” or “What product suits me?”) and end in a purchase—handled entirely by AI. In fact, AI Agent’s conversion rates were 150% higher than the team average, proving that automation can support and sell.
The last thing scaling brands should have to worry about is relying on developers for basic changes. That includes being able to create macros and automations in-house and access key customer data without toggling across tools.
The platform should fit into your existing ecommerce stack—not fight against it.
That’s where Audien Hearing found themselves before switching to Gorgias.
“I’ve seen companies lose a lot of money because it’s not efficient,” said Zoe Kahn, former VP of CX. “You try to save money early on, but then you look at your helpdesk a year later and think, ‘Oh no, what’s happening?’”
Since switching from Richpanel, Audien Hearing’s CX team has been able to run CX on their own terms—without the bottlenecks.
They now resolve 9,000 tickets per month through self-service alone (including a customer knowledge base), cut first response times by 88%, and reduced return rates by 5%. With more time for one-on-one conversations, CSAT jumped from 80 to 86.
“But migration sounds hard.”
We get it. Moving your entire CX operation can feel intimidating. But with the right partner (and the right platform), it doesn’t have to be.
Here’s how Gorgias makes switching smooth and stress-free:
Most Gorgias customers are fully live within just a few days—ready to serve customers faster, smarter, and with less manual lift.
When fast-growing intimates brand Pepper outgrew their old CX platform, they knew they needed a system that could scale with them—without sacrificing speed or quality.
“Gladly didn’t offer any automation or inbox organization features. Our queue got really messy. We got 400 tickets a day during Black Friday, and we didn’t clear that backlog until the following Spring. We knew we couldn’t do that again,” explained Gabrielle McWhirter, CX Operations Lead at Pepper.
With Gorgias, Pepper was able to:
And the results spoke for themselves:
See how Pepper made the switch happen (and why they’re never looking back):
If you’re seeing the warning signs, here’s a quick gut check:
The right platform won’t just help your team work better. It’ll help you drive more revenue, boost customer retention, and actually make customers want to talk to you.
See what switching to Gorgias could do for your brand. Book a demo today.
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TL;DR:
Rising tariffs. Shipping delays. Unpredictable price hikes. For ecommerce, it's an understatement to say the pressure is rising. If you're on the CX team, you're already facing the fire head-on — all the customer frustration, confusion, and hesitation.
CX teams are on the frontlines of support and sales. You're shaping customer trust, buying decisions, and brand loyalty.
From pre-sales conversations to loyalty programs, it’s time to rethink the customer journey, so you can turn every interaction into an opportunity to grow your revenue.
Customer service isn’t just about reacting to problems. It can be a proactive and strategic function that helps you stabilize and even grow your revenue.
Think about it this way: you have the power to turn everyday customer moments into wins.
At every stage of the customer journey, you can turn:
This isn’t about being pushy for sales. It's about anticipating needs and putting systems in place that protect customer relationships and revenue.
As you update your CX workflow, keep these two questions in mind:
Most pre-sales hesitation is rooted in uncertainty: What’s the return policy? How much is shipping? Will this fit? Will it arrive in time?
Reduce customer effort and build confidence with automation as your CX team’s first line of defense. Anything else more complicated, your agents can take care of.
Start by setting up automated answers for the questions your team responds to every day, especially the ones that delay conversions:
There are a few ways to automate these questions in Gorgias:
Read more: How to optimize your help center for AI Agent
Be the compass for the wandering window shoppers and browsers. They might not know exactly what to get, but with the right nudge, you can guide them toward the right product and a fuller cart.
Try these chat prompts:
Sometimes, a discount is all a customer needs to take their order to checkout. Instead of storewide promo codes, use AI to offer tailored discounts to shoppers who show strong intent to buy. This can help reduce abandoned carts and leave customers with a great impression of your brand.
Here are some of the best times to offer a discount:
If shoppers can’t quickly find what they’re looking for, they’ll leave. Real-time product recommendations help resolve indecision and increase average order value.
Examples of when real-time suggestions drive conversions:
High-intent questions are usually specific and goal-oriented — things like:
When customers ask questions that directly impact their ability to purchase, it’s a strong buying signal. If they don’t get a fast response, they’ll probably abandon their cart.
So, how do you encourage shoppers to keep shopping?
Activate chat on your website and equip it with automated features, such as Flows, and/or conversational AI, like AI Agent.
No matter what setup you choose, always have a protocol ready to hand off to a human agent when needed.
In Gorgias, you can set up Rules or use AI Agent handover rules to automatically route conversations based on specific keywords, topics, or customer behavior.
After buying, customers may want to change their order or just need reassurance that everything is on its way.
If customers feel ignored during this critical window, you risk losing their business.
The easy fix? Eliminate friction, reassure customers, and make it easy for them to stay excited about their purchase.
Customers expect full visibility into their orders. Give them full access to this information, and you'll receive fewer WISMO requests.
Integrate your helpdesk with your 3PL or shipping provider to automatically send real-time updates on order status. If customers have an account portal, give them a tracking link.
Pro Tip: If delays are expected, automate messages to let customers know ahead of time. Being proactive keeps customers informed and reduces the need for reactive support.
When something goes wrong, like a delay, a lost package, or unexpected fees, it's how you respond that matters most.
Empower your CX team to act quickly. For example:
You can also use sentiment detection to flag frustrated customers early. Gorgias has built-in customer sentiment detection that automatically identifies tones like urgent, negative, positive, or even threatening language. You can create Rules that tag these conversations and route them to the right agent for faster handling.
Read more: Customer sentiments
Just because a customer is at risk doesn’t mean you’ve lost them. Identifying and re-engaging at-risk customers is one of the highest-impact things you can do to protect revenue.
Pay attention to repeat patterns that signal dissatisfaction. Common early indicators include:
Use sentiment detection and Ticket Fields (ticket properties) to tag these signals automatically. With this data identified, you’ll start to spot patterns that can help you address issues, giving customers a reason to stay.
Once you’ve identified your at-risk customers, use win-back strategies, like:
When handled thoughtfully, a churn-risk customer can become one of your strongest advocates because you showed up when it mattered most.
Don’t forget, there are already customers who love you! These loyal customers don’t just come back to buy again — they bring friends, amplify your brand, and give your business stability when you need it most.
Use customer data to identify customers who purchase frequently, spend more, or have referred others. Tag them as VIPs in your helpdesk so that their requests are prioritized.
For example, in Gorgias, you can use Customer Fields (customer labels and properties) to group your customers under:
When you know who your top customers are, you can offer more personalized service and make sure every interaction strengthens their connection to your brand.
You don’t need to offer huge discounts to let customers know you appreciate them. Small, thoughtful gestures often make the biggest impact:
If you’re using macros and automations, you can even trigger some of these surprise-and-delight actions automatically, making it easier to scale while keeping the personal touch.
We know how overwhelming uncertain times can be. It’s easy to think you need to reinvent your entire strategy just to keep up.
But the truth is, you already have what you need. You have a team that knows your customers. You have conversations happening every day that can protect, nurture, and even grow your business.
By grounding yourself in what’s already working and creating proactive systems, you can turn uncertainty into strong and steady growth.
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TL;DR:
For many ecommerce teams, store policies are an afterthought, tucked away in the footer or buried deep in the FAQ. But they shouldn’t be.
Great customer experience (CX) starts before a customer reaches out. And with 55% of shoppers preferring self-service support, your store policies are often their first stop for answers.
In this guide, we break down the must-have policies for five key ecommerce verticals, based on real Gorgias ticket data. From shipping delays to subscription changes, you’ll learn how to prevent tickets before they happen.
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If you’re constantly fielding questions about returns, shipping times, or order changes, it’s a policy opportunity.
Well-crafted store policies are one of your CX team's most effective tools for setting expectations, building trust, and preventing support issues before they happen. When done right, they turn common friction points into effortless experiences.
When policies are vague or hard to find, customers turn to your inbox, driving up ticket volume and slowing down your support team.
Here are the most common blind spots we see:
When policies aren’t clear or easy to find, customers turn to your inbox. And that means more tickets, wait times, and pressure on your team.
Based on real data from Gorgias, these are the top 10 tickets customers send across channels like chat, contact forms, and email:
What do most of these have in common? You can address them with clear, accessible policies.
Customer expectations aren’t one-size-fits-all, and your store policies shouldn’t be either.
What shoppers expect from a fashion brand is very different from what they need from a wellness company or electronics provider.
We’ve broken down the top policy must-haves by vertical, using real-world examples from Gorgias customers and ticket data.
Use these examples as your plug-and-play guide to write better policies, reduce ticket volume, and create smoother support experiences — no matter what you sell.
When it comes to fashion, uncertainty drives tickets. “Will this fit?” “Can I return it?” “Where’s my order?” The most successful fashion brands like Princess Polly cut down on support volume by making these answers easy to find before customers ever reach out.
Consumer goods customers often want to know two things right away: “What’s it made of?” and “When will it get here?” These questions can quickly pile up in your inbox if your policies aren’t front and center.
Trove Brands, home to household favorites like BlenderBottle and Owala, solves this by proactively answering product and shipping questions across their site and emails.
At the end of each product page, BlenderBottle shares a support menu where shoppers can find information on order status and replacement parts.
Read more: What's the secret to reducing WISMO requests?
In electronics, clarity is everything. Customers want to know how to use the product, what to do if it doesn’t work, and how to get a replacement — without jumping through hoops.
Over-the-counter hearing aid company Audien Hearing nails this by creating crystal-clear support content around setup, shipping, and returns, so customers can troubleshoot confidently and independently.
Audien Hearing has clear visual policies that make it simple for shoppers to find the info they need quickly.
In the health and wellness space, trust and transparency are everything. Customers want to feel confident that the products they’re using are safe and that the support will be just as thoughtful as the product itself.
Brands like period underwear brand Saalt do this exceptionally well, pairing clear product education with empathetic policies that guide customers through everything from first use to subscription changes.
Saalt lets customers phrase questions themselves or choose from a dropdown menu.
Food and beverage customers tend to be both curious and cautious. They want to know what they’re putting in their bodies — and what to do if something goes wrong with the order.
Brands like Everyday Dose get ahead of these concerns by making their policies clear, accessible, and customer-first.
Everyday Dose lists frequently asked questions and makes it simple for customers to find important allergen and ingredient information.
Given that Everyday Dose is a mushroom supplement brand, many shoppers will likely have questions around allergens and exact ingredients. On each of their product pages, there is a clear “Read the Label” button.
Everyday Dose also has a chat which encourages customers to click through to the correct support link or to track their order.
Pro Tip: Use a conversational AI platform to handle common questions at scale. For example, Gorgias’s AI Agent can instantly respond to FAQs like “How much is shipping?” or “When will my order arrive?” — all in your brand’s voice. And when a request needs a human touch, it routes the ticket to the right agent automatically.
Even the most well-written policy won’t reduce tickets if it’s buried three clicks deep in your footer. To truly support your customers (and lighten your team’s workload), your policies need to show up in the right places, at the right moments.
Here’s how to get them in front of customers when they need them most:
Well-placed policies turn support into a self-service experience. They empower your customers to get what they need without ever opening a ticket — and that’s a win for everyone.
Clear, proactive policies do more than answer questions. They prevent tickets, build trust, and make your support team’s job easier. By tailoring your policies to your industry and placing them where customers actually need them, you turn potential friction points into smooth experiences.
Want to take it a step further? Book a demo to see Gorgias’s AI Agent handle common inquiries like shipping, returns, and product questions, across chat, email, and contact forms.
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If you're an ecommerce leader right now, you’re likely facing a new wave of uncertainty. Rising tariffs, disrupted imports, and sudden cost increases are putting pressure on your margins, and your customer relationships.
At Gorgias, we are working with thousands of brands that are grappling with tough calls: adjust prices, shift sourcing, or absorb costs to protect loyalty. And while the supply chain is where these issues start, the customer experience is where they play out.
Whether you’re a growing DTC or an enterprise brand, your customers deserve transparency. We know the pressure you're under, and we're here to help you navigate it. To help you not only manage the conversation, but lead it with clarity, empathy, and speed.
Ecommerce brands are in an impossible position right now, following the 24 hours news cycle, and waiting to see how tariffs will cut into profits and impact their business.
For customers? It can create confusion, frustration, and a flurry of angry tickets if brands aren’t proactive and transparent. But here's the truth: how your team talks about tariffs is just as important as what they say.
These moments of friction, and how you communicate these changes to your customers can be opportunities to build trust, reduce churn, and even demonstrate the real revenue power of your team. In a moment when clarity and trust are everything, the role of CX leaders is more important than ever.
Tariffs may seem like a back-end issue, but in reality, they shape front-end experiences—from product pricing and availability to fulfillment speed and satisfaction.
For ecommerce brands, especially those sourcing from China or shipping globally, these trade shifts hit close to home. Products get more expensive, shipping slows down, and some SKUs disappear altogether.
And CX teams are often the first to hear about it. The question isn’t if you should communicate tariff implications, but how.
Here’s the good news: customers don’t expect you to control global trade policy. But they do expect honesty.
What matters most right now is:
And even more specifically, your customers are likely looking for answers to three simple questions:
In times of change, trust becomes foundational. If you're not upfront about what’s happening and how it affects them, customers will fill in the blank, or worse, turn to competitors.
Tariffs are complex, but your messaging shouldn’t be. Strip out the policy jargon and explain the changes in human terms. Let customers know what’s changing, why it’s happening, and what steps you’re taking to protect their experience.
Instead of: “Due to regulatory changes impacting import duties…”
Say: “Because of new tariffs, some of our prices have gone up. Here’s why, and what we’re doing to keep costs down.”
From your Help Center to your agents to your email updates, your message should be consistent. Mismatched explanations create confusion and erode trust. Align your team on the key talking points and update scripts and automations across all customer touchpoints.
Speaking of your Help Center, now might be a great time to create an article specifically about tariffs and how you’re approaching them. The article can serve as a source of truth for your customers and your AI agents on the front lines answering questions.
Customers don’t just want the facts, they want to know you care. Acknowledge the frustration, and offer reassurance. Small gestures like a personalized note or a shipping perk can show you’re on their side.
Generic messages fall flat. Give customers details that they can rely on: Are the changes permanent? Are you absorbing part of the cost? Is a specific product impacted? When you’re upfront about the situation, and how you’re responding to it, you build credibility.
Times of uncertainty are times to cut costs, but it may also mean increased ticket volume. AI agents can help on the frontlines. But be sure to build your handovers to escalate to your team in the right moments to build trust.
Luggage brand, Beis, recently sent an email to customers that is a great example in customer-first communication. Rather than quietly raising prices or burying fees in checkout, they called it what it was: tariffs.
They explained the change clearly, why it was happening, and what customers could expect. And most importantly, they acknowledged the frustration. No spin, or vague language, just a clear message from a brand that respects its customers enough to be honest with them.
This kind of proactive messaging does more than prevent a flood of support tickets. It creates alignment between the brand and the customer. Beis didn’t make the rules but they’re navigating them with their customers, not in spite of them.
Too often, tariff policies get relegated to the FAQ page or terms and conditions. Customers typically only land there after they’re already confused or upset.
Instead, CX should treat tariffs as a key part of the customer journey and be equipped to speak about them empathetically and clearly.
Add a proactive message to your chat widget that addresses tariff-related questions before they even come up. A short note like, “You may notice some pricing changes – here’s why,” with a link to your FAQ or a specific article, helps to deflect confusion and prevents cart abandonment.
Surface timely information right where customers are most likely to look. Use your chat or search function to include a clear callout.
“Looking for information on recent pricing or shipping updates? Here’s what changed.”
This type of visibility empowers self-service, and reduces ticket volume.
Don’t leave your support team guessing. Create internal scripts with clear language on what to say (and what to avoid) when talking tariffs. Script empathy, not just compliance: Empower agents with language that acknowledges the inconvenience while reinforcing the brand's values.
Say:
Avoid:
If you’re using automation, make sure your AI Agent and autoresponders can explain tariff policies accurately and compassionately. Use macros to ensure fast, consistent replies, without sacrificing tone. Some key macro themes to create:
Each macro should strike a balance of clarity, empathy, and brand voice, offering both the what and the why.
Tariffs might be out of your control. But how you talk about them? That’s entirely in your hands.
This is your moment as a CX leader, not just to react but to lead. To turn friction into transparency, tension into trust, and confusion into connection. Because when policies change overnight and customer confidence is on the line, the brands that communicate with honesty, consistency, and care don’t just survive. They strengthen loyalty.
Your customers don’t expect perfection. They expect clarity. They expect empathy. And they expect you to show up.
At Gorgias, we’re here to make sure you can. With tools to automate answers, personalize conversations, and empower your team to deliver the kind of CX that builds long-term brand equity, even when times get tough.