

TL;DR:
The way shoppers buy online has shifted and customers are at the center.
They no longer want to scroll through product pages, dig through FAQs, or wait 24 hours for an email reply. They open a conversation, ask a specific question, and expect a useful answer in seconds. Brands that can’t deliver these experiences at scale are seeing customer hesitation turn into abandoned carts and lost revenue.
This shift has a name: conversational commerce. It's the practice of using real-time, two-way conversations as your primary sales channel, through chat, AI agents, messaging apps, and voice.
What started as an experiment for early adopters has become a key growth lever, with 84% of ecommerce brands treating conversational commerce as a strategic pillar this year vs. last year.

We surveyed 400 ecommerce decision-makers across North America, the U.K., and Europe to understand how conversational commerce and AI are reshaping the ecommerce landscape. These findings are complemented by aggregated and anonymized internal Gorgias platform data from 16,000+ ecommerce brands.
The State of Conversational Commerce in 2026 trends report breaks down all of the findings, including five key trends shaping the ecommerce landscape.
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A few years ago, adding an AI chatbot to your site that could provide tracking links and Help Center article recommendations was a differentiator. Today, it's table stakes. McKinsey found that 71% of shoppers expect personalized experiences, and 76% get frustrated when they don't get them.
Right now, most ecommerce professionals use AI, with 93% having used it for at least 1 year. Enthusiasm is accelerating quickly, with only 30% of ecommerce professionals rating their excitement for AI at 10/10 in April 2025. Similarly, while AI adoption rose steadily year over year, it reached a clear peak in 2026.

The use cases driving this adoption are practical and high-volume:

These are the tickets that flood brands’ inboxes every day. AI agents resolve them instantly, without pulling teams away from conversations that actually require human judgment.
Explore AI adoption and use case data in more depth in the full report.
The traditional ecommerce funnel, visit site, browse products, add to cart, check out, is losing ground. Shoppers now discover products on Instagram, ask questions via direct message, and complete purchases without ever visiting a website.

Conversational AI is actively increasing revenue, with 79% of brands reporting that AI-driven interactions have increased sales and conversion in their business.

The practical implication is that every channel is becoming a storefront. Creating personalized touchpoints with customers earlier in the journey, through proactive engagement, is impacting the bottom line.
Read the full report to explore how AI conversions have increased QoQ by industry.
Pre-purchase hesitation is one of the biggest conversion killers in ecommerce. A shopper lands on your product page, has a question about sizing or compatibility, can't find the answer quickly, and leaves. That's a lost sale that had nothing to do with your product.
Conversational AI changes that dynamic. When a shopper can ask a question and get an accurate, personalized answer in real time, the friction disappears.
Brands using Gorgias saw this play out at scale in 2025. When AI Agent recommended a product, 80% of the resulting purchases happened the same day, and 13% happened the next day.

Brands are further accelerating the buying cycle through proactive engagement. On-site features such as suggested product questions, recommendations triggered by search results, and “Ask Anything” input bars drove 50% of conversation-driven purchases during BFCM 2025.
Explore how AI is collapsing the purchase cycle in Trend 3 of the report.
There's a persistent narrative that AI is making CX teams redundant. The data tells a different story. 62% of ecommerce brands are planning to grow their teams, not cut them. But the scope of those teams is changing.

New roles are emerging around AI configuration and quality assurance. Teams are investing in technical members to write AI Guidance instructions, develop tone-of-voice instructions, and continuously QA results.
CX teams are also bridging the gap between support goals and revenue goals, as the two functions increasingly overlap.

The result is CX teams that are more technical than they were before. Agents who once spent their days answering repetitive tickets are now spending that time on higher-value work: complex escalations, VIP customer relationships, and improving the AI systems and knowledge bases that handle the volume.
Learn more about the evolution of CX roles in Trend #4.
Despite increasing AI adoption, data shows that ecommerce brands shouldn’t strive for 100% automation. Winning brands are building systems in which AI handles repetitive tier-1 tickets, and humans handle complex, sensitive cases.

AI handles speed and scale. It resolves order-tracking requests at 2 a.m., processes return-eligibility checks in seconds, and answers the same shipping question for the thousandth time without compromising quality.
Human agents handle conversations that require context, empathy, or decisions that fall outside the standard playbook. There are several topics where shoppers still prefer human support.

Successful hybrid systems require continuous iteration, meaning reviewing handover topics, Guidance, and reviewing AI tickets on a weekly basis.
Discover how leading brands are balancing human and AI systems in Trend #5.
The 2026 trends are about expansion and standardization. The 2030 predictions are about what comes next.

Voice-based purchasing is the biggest bet on the horizon. Only 7% of brands currently use voice assistants for commerce, but 89% expect it to be standard by 2030. The vision is a customer who can reorder a product, check their subscription status, or manage a return entirely over the phone.
Proactive AI is the other major shift. Rather than waiting for a customer to reach out, AI will anticipate needs based on browsing behavior, purchase history, and where someone is in their relationship with your brand. Think of it as the digital equivalent of a sales associate who remembers what you bought last time and knows what you're likely to need next.
Explore where ecommerce brands are allocating their AI budgets in the full report.
The brands winning in 2026 are creating smart, scalable systems where AIhandles volume and humans handle nuance. They’re treating every conversational channel as an opportunity to serve and sell.
The data is clear: AI adoption is accelerating, customer expectations are rising, and the revenue impact of getting this right is measurable.
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TL;DR:
In 2025, chat’s growth outpaced email by 2.5x quarter over quarter. Chat has become our most powerful customer experience tool for how shoppers discover products, ask questions, and decide to buy.
We knew it needed an upgrade, so we reimagined the entire experience from the ground up.
The result is 36% more engagement with product recommendations, nearly 2.25x more shoppers add-to-cart, and 7.3% more customer engagement.
In this post, we'll walk you through our thinking, what’s new in Chat, and how brands are already seeing big gains.
Chat has outpaced email support. Today’s shoppers prefer the speed of quick chat conversations over email. And when shoppers make a new move, we watch, listen, and move with them.
This behavioral shift isn’t happening in isolation. It aligns with the rise of conversational commerce and proves a universal move toward real-time conversations in ecommerce.
In fact, the signals were already there. Two years of building AI Agent showed us just how much design shapes behavior. The interface is the experience, and we knew that pushing chat experiences to closely resemble human interactions would transform how shoppers engage.
Our new and updated chat brings that vision to life. We believe that shopping is moving from static pages to conversations. This new update is built for how people actually want to shop.
The new design turns live chat into an interactive shopping surface made for modern shoppers. We've brought together multiple ways for shoppers to jump into chat, added clickable replies instead of typing, browsable product cards right in the conversation, and quick cart access.
Let's walk through what's new.
Chat now comes in a softer color palette that adapts to your store’s branding. We removed message bubbles in favor of an airy design that brings in the familiarity of speaking to your favorite conversational AI assistant. Every interaction now has the breathing room for deeper conversation and personalization.

It’s now easier for shoppers to get an answer with quick reply buttons and suggested questions in Chat. This replaces the tree-based flows of the previous Chat, removing the need to follow a fixed path. Shoppers can find answers faster without typing text-heavy explanations.

Browsing and buying within Chat is now possible. Previously, it only supported product links that would open in a new page. With the upgrade, you can view item details without leaving the conversation. Shoppers can browse, compare products, and add to cart in one place.

We’re keeping the context by removing the external redirects. The new interface lets shoppers browse product recommendations right in chat. View key product details, images, descriptions, variants, and pricing without opening a new tab.

Chat adds clickable questions on product pages — like “Is this true to size?” or “What’s the difference between shades?” — designed to match what a shopper is likely wondering in the moment. These context-aware prompts help remove buying hesitation before shoppers even think to ask.

Chat adds instant access to shopper actions, like a cart button and an orders button for returning customers. Shoppers can jump straight to their cart or check on an existing order without waiting for an agent to give them a status update.

Every update in Chat drives performance. We didn’t simply give it a makeover, we also fine-tuned its underlying mechanics.
When product suggestions are easy to browse, shoppers interact with them more. The new product cards make shopping feel natural, allowing customers to explore items at their own pace. That convenience led to a 36% increase in engagement with recommended products.
Chat keeps the entire shopping journey inside the conversation, from browsing and asking questions, to adding to cart and checking out. This new layout removes the usual tab-switching between chat and the website. Less friction has led to more than double add-to-cart actions than before the redesign.
Chat's cleaner design and contextual entry points make it easier for shoppers to start a conversation. With suggested questions on product pages and quick reply buttons, more visitors are choosing to engage earlier in their journey. This has resulted in a 7.3% lift in chat engagement.
Conversational commerce has moved from concept to reality. Chat makes it part of the everyday shopping experience, letting shoppers browse, ask questions, compare products, and check out in one interaction. It brings the ease of the in-person shopping experience into the digital world.
We built Chat to redefine the shopping experience. We hope you see it reflected in your customers’ journeys.
Book a demo to see what's possible with the new experience.
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TL;DR:
Customer education has become a critical factor in converting browsers into buyers. For wellness brands like Cornbread Hemp, where customers need to understand ingredients, dosages, and benefits before making a purchase, education has a direct impact on sales. The challenge is scaling personalized education when support teams are stretched thin, especially during peak sales periods.
Katherine Goodman, Senior Director of Customer Experience, and Stacy Williams, Senior Customer Experience Manager, explain how implementing Gorgias's AI Shopping Assistant transformed their customer education strategy into a conversion powerhouse.
In our second AI in CX episode, we dive into how Cornbread achieved a 30% conversion rate during BFCM, saving their CX team over four days of manual work.
Before diving into tactics, understanding why education matters in the wellness space helps contextualize this approach.
Katherine, Senior Director of Customer Experience at Cornbread Hemp, explains:
"Wellness is a very saturated market right now. Getting to the nitty-gritty and getting to the bottom of what our product actually does for people, making sure they're educated on the differences between products to feel comfortable with what they're putting in their body."
The most common pre-purchase questions Cornbread receives center around three areas: ingredients, dosages, and specific benefits. Customers want to know which product will help with their particular symptoms. They need reassurance that they're making the right choice.
What makes this challenging: These questions require nuanced, personalized responses that consider the customer's specific needs and concerns. Traditionally, this meant every customer had to speak with a human agent, creating a bottleneck that slowed conversions and overwhelmed support teams during peak periods.
Stacy, Senior Customer Experience Manager at Cornbread, identified the game-changing impact of Shopping Assistant:
"It's had a major impact, especially during non-operating hours. Shopping Assistant is able to answer questions when our CX agents aren't available, so it continues the customer order process."
A customer lands on your site at 11 PM, has questions about dosage or ingredients, and instead of abandoning their cart or waiting until morning for a response, they get immediate, accurate answers that move them toward purchase.
The real impact happens in how the tool anticipates customer needs. Cornbread uses suggested product questions that pop up as customers browse product pages. Stacy notes:
"Most of our Shopping Assistant engagement comes from those suggested product features. It almost anticipates what the customer is asking or needing to know."
Actionable takeaway: Don't wait for customers to ask questions. Surface the most common concerns proactively. When you anticipate hesitation and address it immediately, you remove friction from the buying journey.
One of the biggest myths about AI is that implementation is complicated. Stacy explains how Cornbread’s rollout was a straightforward three-step process: audit your knowledge base, flip the switch, then optimize.
"It was literally the flip of a switch and just making sure that our data and information in Gorgias was up to date and accurate."
Here's Cornbread’s three-phase approach:
Actionable takeaway: Block out time for that initial knowledge base audit. Then commit to regular check-ins because your business evolves, and your AI should evolve with it.
Read more: AI in CX Webinar Recap: Turning AI Implementation into Team Alignment
Here's something most brands miss: the way you write your knowledge base articles directly impacts conversion rates.
Before BFCM, Stacy reviewed all of Cornbread's Guidance and rephrased the language to make it easier for AI Agent to understand.
"The language in the Guidance had to be simple, concise, very straightforward so that Shopping Assistant could deliver that information without being confused or getting too complicated," Stacy explains. When your AI can quickly parse and deliver information, customers get faster, more accurate answers. And faster answers mean more conversions.
Katherine adds another crucial element: tone consistency.
"We treat AI as another team member. Making sure that the tone and the language that AI used were very similar to the tone and the language that our human agents use was crucial in creating and maintaining a customer relationship."
As a result, customers often don't realize they're talking to AI. Some even leave reviews saying they loved chatting with "Ally" (Cornbread's AI agent name), not realizing Ally isn't human.
Actionable takeaway: Review your knowledge base with fresh eyes. Can you simplify without losing meaning? Does it sound like your brand? Would a customer be satisfied with this interaction? If not, time for a rewrite.
Read more: How to Write Guidance with the “When, If, Then” Framework
The real test of any CX strategy is how it performs under pressure. For Cornbread, Black Friday Cyber Monday 2025 proved that their conversational commerce strategy wasn't just working, it was thriving.
Over the peak season, Cornbread saw:
Katherine breaks down what made the difference:
"Shopping Assistant popping up, answering those questions with the correct promo information helps customers get from point A to point B before the deal ends."
During high-stakes sales events, customers are in a hurry. They're comparing options, checking out competitors, and making quick decisions. If you can't answer their questions immediately, they're gone. Shopping Assistant kept customers engaged and moving toward purchase, even when human agents were swamped.
Actionable takeaway: Peak periods require a fail-safe CX strategy. The brands that win are the ones that prepare their AI tools in advance.
One of the most transformative impacts of conversational commerce goes beyond conversion rates. What your team can do with their newfound bandwidth matters just as much.
With AI handling straightforward inquiries, Cornbread's CX team has evolved into a strategic problem-solving team. They've expanded into social media support, provided real-time service during a retail pop-up, and have time for the high-value interactions that actually build customer relationships.
Katherine describes phone calls as their highest value touchpoint, where agents can build genuine relationships with customers. “We have an older demographic, especially with CBD. We received a lot of customer calls requesting orders and asking questions. And sometimes we end up just yapping,” Katherine shares. “I was yapping with a customer last week, and we'd been on the call for about 15 minutes. This really helps build those long-term relationships that keep customers coming back."
That's the kind of experience that builds loyalty, and becomes possible only when your team isn't stuck answering repetitive tickets.
Stacy adds that agents now focus on "higher-level tickets or customer issues that they need to resolve. AI handles straightforward things, and our agents now really are more engaged in more complicated, higher-level resolutions."
Actionable takeaway: Stop thinking about AI only as a cost-cutting tool and start seeing it as an impact multiplier. The goal is to free your team to work on conversations that actually move the needle on customer lifetime value.
Cornbread isn't resting on their BFCM success. They're already optimizing for January, traditionally the biggest month for wellness brands as customers commit to New Year's resolutions.
Their focus areas include optimizing their product quiz to provide better data to both AI and human agents, educating customers on realistic expectations with CBD use, and using Shopping Assistant to spotlight new products launching in Q1.
The brands winning at conversational commerce aren't the ones with the biggest budgets or the largest teams. They're the ones who understand that customer education drives conversions, and they've built systems to deliver that education at scale.
Cornbread Hemp's success comes down to three core principles: investing time upfront to train AI properly, maintaining consistent optimization, and treating AI as a team member that deserves the same attention to tone and quality as human agents.
As Katherine puts it:
"The more time that you put into training and optimizing AI, the less time you're going to have to babysit it later. Then, it's actually going to give your customers that really amazing experience."
Watch the replay of the whole conversation with Katherine and Stacy to learn how Gorgias’s Shopping Assistant helps them turn browsers into buyers.
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TL;DR:
Your AI sounds like a robot, and your customers can tell.
Sure, the answer is right, but something feels off. The tone of voice is stiff. The phrases are predictable and generic. At most, it sounds copy-pasted. This may not be a big deal from your side of support. In reality, it’s costing you more than you think.
Recent data shows that 45% of U.S. adults find customer service chatbots unfavorable, up from 43% in 2022. As awareness of chatbots has increased, so have negative opinions of them. Only 19% of people say chatbots are helpful or beneficial in addressing their queries. The gap isn't just about capability. It's about trust. When AI sounds impersonal, customers disengage or leave frustrated.
Luckily, you don't need to choose between automation and the human touch.
In this guide, we'll show you six practical ways to train your AI to sound natural, build trust, and deliver the kind of support your customers actually like.
The fastest way to make your AI sound more human is to teach it to sound like you. AI is only as good as the input you give it, so the more detailed your brand voice training, the more natural and on-brand your responses will be.
Start by building a brand voice guide. It doesn't need to be complicated, but it should clearly define how your brand communicates with customers. At minimum, include:
Think of your AI as a character. Samantha Gagliardi, Associate Director of Customer Experience at Rhoback, described their approach as building an AI persona:
"I kind of treat it like breaking down an actor. I used to sing and perform for a living — how would I break down the character of Rhoback? How does Rhoback speak? What age are they? What makes the most sense?"
✅ Create a brand voice guide with tone, style, formality, and example phrases.
Humans associate short pauses with thinking, so when your AI responds too quickly, it instantly feels unnatural.
Adding small delays helps your AI feel more like a real teammate.
Where to add response delays:
Even a one- to two-second pause can make a big difference in a robotic or human-sounding AI.
✅ Add instructions in your AI’s knowledge base to include short response delays during key moments.
Generic phrases make your AI sound like... well, AI. Customers can spot a copy-pasted response immediately — especially when it's overly formal.
That doesn't mean you need to be extremely casual. It means being true to your brand. Whether your voice is professional or conversational, the goal is the same: sound like a real person on your team.
Here's how to replace robotic phrasing with more brand-aligned responses:
|
Generic Phrase |
More Natural Alternative |
|---|---|
|
“We apologize for the inconvenience.” |
“Sorry about that, we’re working on it now.” (friendly) |
|
“Your satisfaction is our top priority.” |
“We want to make sure this works for you.” (friendly) |
|
“Please be advised…” |
“Just a quick heads up…” (friendly) |
|
“Your request has been received.” |
“Got it. Thanks for reaching out.” (friendly) |
|
“I will now review your request.” |
“Let me take a quick look.” (friendly) |
✅ Identify your five most common inquiries and give your AI a rewritten example response for each.
One of the biggest tells that a response is AI-generated? It ignores what's already happened.
When your AI doesn't reference order history or past conversations, customers are forced to repeat themselves. Repetition can lead to frustration and can quickly turn a good customer experience into a bad one.
Great AI uses context to craft replies that feel personalized and genuinely helpful.
Here's what good context looks like in AI responses:
Tools like Gorgias AI Agent automatically pull in customer and order data, so replies feel human and contextual without sacrificing speed.
✅ Add instructions that prompt your AI to reference order details and/or past conversations in its replies, so customers feel acknowledged.
Customers just want help. They don't care whether it comes from a human or AI, as long as it's the right help. But if you try to trick them, it backfires fast. AI that pretend to be human often give customers the runaround, especially when the issue is complex or emotional.
A better approach is to be transparent. Solve what you can, and hand off anything else to an agent as needed.
When to disclose that the customer is talking to AI:
For more on this topic, check out our article: Should You Tell Customers They're Talking to AI?
✅ Set clear rules for when your AI should escalate to a human and include handoff messaging that sets expectations and preserves context.
We're giving you permission to break the rules a little bit. The most human-sounding AI doesn't follow perfect grammar or structure. It reflects the messiness of real dialogue.
People don't speak in flawless sentences every time. We pause, rephrase, cut ourselves off, and throw in the occasional emoji or "uh." When AI has an unpredictable cadence, it feels more relatable and, in turn, more human.
What an imperfect AI could look like:
These imperfections give your AI a more believable voice.
✅ Add instructions for your AI that permit variation in grammar, tone, and sentence structure to mimic real human speech.
Human-sounding AI doesn’t require complex prompts or endless fine-tuning. With the right voice guidelines, small tone adjustments, and a few smart instructions, your AI can sound like a real part of your team.
Book a demo of Gorgias AI Agent and see for yourself.
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TL;DR:
You’ve chosen your AI tool and turned it on, hoping you won’t have to answer another WISMO question. But now you’re here. Why is AI going in circles? Why isn’t it answering simple questions? Why does it hand off every conversation to a human agent?
Conversational AI and chatbots thrive on proper training and data. Like any other team member on your customer support team, AI needs guidance. This includes knowledge documents, policies, brand voice guidelines, and escalation rules. So, if your AI has gone rogue, you may have skipped a step.
In this article, we’ll show you the top seven AI issues, why they happen, how to fix them, and the best practices for AI setup.
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AI can only be as accurate as the information you feed it. If your AI is confidently giving customers incorrect answers, it likely has a gap in its knowledge or a lack of guardrails.
Insufficient knowledge can cause AI to pull context from similar topics to create an answer, while the lack of guardrails gives it the green light to compose an answer, correct or not.
How to fix it:
This is one of the most frustrating customer service issues out there. Left unfixed, you risk losing 29% of customers.
If your AI is putting customers through a never-ending loop, it’s time to review your knowledge docs and escalation rules.
How to fix it:
It can be frustrating when AI can’t do the bare minimum, like automate WISMO tickets. This issue is likely due to missing knowledge or overly broad escalation rules.
How to fix it:
One in two customers still prefer talking to a human to an AI, according to Katana. Limiting them to AI-only support could risk a sale or their relationship.
The top live chat apps clearly display options to speak with AI or a human agent. If your tool doesn’t have this, refine your AI-to-human escalation rules.
How to fix it:
If your agents are asking customers to repeat themselves, you’ve already lost momentum. One of the fastest ways to break trust is by making someone explain their issue twice. This happens when AI escalates without passing the conversation history, customer profile, or even a summary of what’s already been attempted.
How to fix it:
Sure, conversational AI has near-perfect grammar, but if its tone is entirely different from your agents’, customers can be put off.
This mismatch usually comes from not settling on an official customer support tone of voice. AI might be pulling from marketing copy. Agents might be winging it. Either way, inconsistency breaks the flow.
How to fix it:
When AI is underperforming, the problem isn’t always the tool. Many teams launch AI without ever mapping out what it's actually supposed to do. So it tries to do everything (and fails), or it does nothing at all.
It’s important to remember that support automation isn’t “set it and forget it.” It needs to know its playing field and boundaries.
How to fix it:
AI should handle |
AI should escalate to a human |
|---|---|
Order tracking (“Where’s my package?”) |
Upset, frustrated, or emotional customers |
Return and refund policy questions |
Billing problems or refund exceptions |
Store hours, shipping rates, and FAQs |
Technical product or troubleshooting issues |
Simple product questions |
Complex or edge‑case product questions |
Password resets |
Multi‑part or multi‑issue requests |
Pre‑sale questions with clear, binary answers |
Anything where a wrong answer risks churn |
Once you’ve addressed the obvious issues, it’s important to build a setup that works reliably. These best practices will help your AI deliver consistently helpful support.
Start by deciding what AI should and shouldn’t handle. Let it take care of repetitive tasks like order tracking, return policies, and product questions. Anything complex or emotionally sensitive should go straight to your team.
Use examples from actual tickets and messages your team handles every day. Help center articles are a good start, but real interactions are what help AI learn how customers actually ask questions.
Create rules that tell your AI when to escalate. These might include customer frustration, low confidence in the answer, or specific phrases like “talk to a person.” The goal is to avoid infinite loops and to hand things off before the experience breaks down.
When a handoff happens, your agents should see everything the AI did. That includes the full conversation, relevant customer data, and any actions it has already attempted. This helps your team respond quickly and avoid repeating what the customer just went through.
An easy way to keep order history, customer data, and conversation history in one place is by using a conversational commerce tool like Gorgias.
A jarring shift in tone between AI and agent makes the experience feel disconnected. Align aspects such as formality, punctuation, and language style so the transition from AI to human feels natural.
Look at recent escalations each week. Identify where the AI struggled or handed off too early or too late. Use those insights to improve training, adjust boundaries, and strengthen your automation flows.
If your AI chatbot isn’t working the way you expected, it’s probably not because the technology is broken. It’s because it hasn’t been given the right rules.
When you set AI up with clear responsibilities, it becomes a powerful extension of your team.
Want to see what it looks like when AI is set up the right way?
Try Gorgias AI Agent. It’s conversational AI built with smart automation, clean escalations, and ecommerce data in its core — so your customers get faster answers and your agents stay focused.

TL;DR:
According to our recent survey, 69.2% of respondents already use AI and automation in their roles, with support leaders and agents being the highest adopters.
However, in order to be successful, AI needs a robust knowledge base to learn from. The more knowledge and context, the smarter AI will be.
Below, find the tips you need to set up a great customer knowledge base in order to use AI most effectively.
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Aside from acting as a self service resource for customers, knowledge bases now serve a dual purpose — they also act as a data source that provides AI with the training it needs to accurately answer questions from your customers.
That’s the case for Gorgias AI Agent, a conversational AI team member who can resolve customer inquiries without the involvement of humans. While teams also provide the AI with Guidance during the setup process, your knowledge base is the primary source for AI Agent to be onboarded, have a consistent source of truth, and provided faster and complete resolutions.
The more information you provide your AI with, the faster it will be able to deliver accurate responses — and the sooner your customer support team can move onto more important things than answering another WISMO request.
Building a quality knowledge base is essentially the first onboarding step for using AI in your customer service operations. It’s the main data source for AI, sort of like a handbook or manual. The more thorough the Help Center is, the less agents will have to tweak and guide AI at the start.
The more up-to-date and accurate your knowledge base is, the more accurate your AI’s responses to your customers will be. Errors or inconsistencies in knowledge bases can lead to flawed AI behavior.
The benefit of that is that AI will consistently intake any new information you add as long as your Help Center articles are updated. For example, brands who have new or different policies won't have to worry about setting aside time for AI to digest the new info –– it will automatically pull them from the Help Center.

📚 Further reading: How your CX Team will evolve with AI
An AI customer support rep can resolve tickets 99.4% faster than human agents –– and that’s full resolutions, not just first responses! But those full resolutions will only be as helpful as your knowledge base is.

Quality data improves AI accuracy and efficiency. For CX, that quality data comes from a robust knowledge base.
For example, clothing brand Psycho Bunny was able to successfully implement AI Agent in part because of their thorough knowledge base.

They have articles that cover: Shipping & Delivery, Order Status, Returns & Exchanges, Buy Online Pick Up in Store, products & FAQs, and Payment & Billing.
“AI Agent helps immensely with data reporting and reducing human error, because it tags tickets accurately and follows processes consistently,” says Mary Mundy, Technical Support Specialist at Psycho Bunny.

Knowledge bases also enable AI systems to learn and adapt over time, especially if they’re consistently edited and updated to reflect new or changing policies or product information.
Adaptability is crucial for a high-performing CX team, and your AI tool needs to be able to rise to that challenge. That was the case for premium sport and travel accessory brand Vessel.
“I was a little bit hesitant about using AI Agent initially,” says Lauren Reams, their Customer Experience Manager.
“We knew that we were interested in more automation because we have had more customers reaching out, but weren’t sure that it would be able to meet their growing needs.
“It’s been incredible to see how adaptable AI Agent is, and how it can quickly pick up on the small things — for example, if something is a hot topic for us, you can see AI Agent start talking about it, and knowing when it’s something that needs to be handed off to our team.”
Now, Vessel boasts a 20% automation rate and a resolution time of just 1.06 minutes.

A reliable knowledge base fosters trust in AI systems. It’s a cycle: the better the information in your knowledge base is, the better your AI Agent can speak on your behalf.
For example, fine jewelry brand Baby Gold has built trust with customers through a more personalized AI experience.
“What I like about AI Agent is that the responses are so different, and it makes it sound like it's an actual agent,” says Sindi Melgar, Baby Gold’s Customer Service Manager.
“We've gotten feedback from customers who say, Michelle, has been helping me, Michelle did this for me, Michelle did that for me — so that's awesome. We provide personalized items, so we should provide a personalized experience and journey for our customers.”
Aside from being AI’s most knowledgeable sidekick, your Help Center is a prime self-service hub for customers.
They should be able to locate policies like shipping and returns and answers to product FAQs. If you want to go the extra mile like Baby Gold does, create a portal where shoppers can start a return, track or cancel an order, or report an issue.

This might go without saying, but customers won’t know your policies if you don’t clearly list them on your website. A policy section helps set expectations upfront and builds trust.
Some common policies to include are:
🛑 Challenge: Identifying your frequently asked questions manually, especially if you have a ton of tickets that come in on the daily, a wide variety of questions, or topics that require super personalized responses. Yes, you can source your brand’s specific FAQs manually by speaking to your agents, but you might not cover everything.
✅ Solution: Some frequently asked questions are pretty standard across ecommerce stores. Your shoppers will always need to know your shipping information, return and exchange policies, order cancellation windows, the status of their most recent order, and where they can reach out for 1:1 support.
If you use a helpdesk, you’ll likely be able to see an aggregate of top questions. With Gorgias AI Agent, it's easy. You can find customers' most asked questions listed in your dashboard, with an option to automatically create a Help Center article for each, answer included.

📚 Further reading: FAQ Pages: Examples, Benefits, and When to Add a Help Center
🛑 Challenge: Scaling your knowledge base to answer all relevant questions can be a daunting task, especially at the beginning.
✅ Solution: You don’t have to create your knowledge base from scratch! You can use an AI tool like ChatGPT to create it or, check out the 50 Help Center templates in this article to establish a solid foundation.
🛑 Challenge: If your knowledge base doesn’t accurately reflect how your brand engages with customers or how it shows up online, your AI won’t sound like you either.
✅ Solution: If your brand is all about personalization, for example, include that in a “Who we are” article in your Help Center like Baby Gold does.

“Sometimes agents forget personal details to call out when communicating with our customers, like birthdays or weddings,” says Sindi Melgar, Baby Gold’s Customer Service Manager, “But I noticed on a few different occasions where the AI Agent is highlighting these things and is saying, congratulations on your wedding! Just the tone of voice that our AI Michelle is able to adopt is definitely on brand for us.”
🛑 Challenge: Continuously updating the knowledge base to ensure it remains relevant can be time-consuming, especially the longer you wait to review it.
✅ Solution: Because AI is such a huge time saver, your team should have more time available to edit and maintain your knowledge base, as well as coach any AI tools you use. For example, Psycho Bunny sees 26% of all tickets resolved by AI Agent.
Schedule time each month or quarter, depending on how often your policies or products change to keep your knowledge base current and relevant. If your knowledge base has outdated information, your AI most certainly will, too.
📚 Further reading: The Gorgias AI Approach: Onboard, Automate, Observe, and Coach
AI Agent learns your policies and brand voice to autonomously handle support queries via email –– just like a human agent.
Our customers have found that it often doesn't matter if an agent or AI responds to a customer so long as a resolution is reached quickly.
That was the case for Ron Shah, CEO of health and wellness brand Obvi:
“People just want to know things fast; they want things quickly. As long as they're getting accurate responses, most people don't care how.”
Within the first four weeks of its launch, AI Agent supported 300 brands, 60 of which reached a 20% automation rate. It was able to process 10,000 messages in one week.
“These might look like modest numbers on a screen, but they’re translating to significant benefits for the people who monitor, manage, and innovate on ways to deliver exceptional customer experiences — and we feel grateful to be able to facilitate this shift,” says Gorgias CEO and Co-founder Romain Lapeyre.

Investing in and prioritizing high-quality knowledge bases will support both your CX team and your customers. Give your team time back, create better customer experiences, and get on the cutting edge of AI for customer support.
See AI Agent in action and book a demo.
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TL;DR:
Guess what? Automating your customer support doesn’t mean you don't care about every customer interaction—it’s quite the opposite.
Think about it… if someone wants to cancel an order, they simply want it done without any attempts at a personalized upsell. This type of response usually doesn’t require any additional flair.
Automation allows you to meet customers' needs promptly for straightforward requests. At the same time, it gives your team the bandwidth to invest more time and energy into solving intricate problems and building stronger customer relationships.
Many brands using Gorgias AI Agent are saving both time and money, reducing response times, and even increasing sales generated directly from support.
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As a solopreneur, it’s pretty self-explanatory. You’re busy with all aspects of your business, so automating what you can is going to help you prioritize and focus on more important things.
But what about those who have customer support teams? This might sound counterintuitive, but Gorgias AI Agent isn’t geared toward any specific type of brand.
It benefits everyone at every stage of growth, whether you’re a single founder who wears many hats or lead a large CS team at an enterprise business.
Take Obvi—this mid-market health and wellness brand has a lean CX team of only two support agents. Although surprising, given their size and stage of growth, they’ve been able to automate the tedious and repetitive parts of CX.
For example, during BFCM 2023, Obvi’s CEO Ron Shah decided to use AI Agent to boost CX efficiency even further while still providing excellent customer support.
“I told our team we were going to onboard AI Agent for BFCM, so a good portion of tickets would be handled automatically. There was a huge sigh of relief knowing that customers were going to be taken care of.”
—Ron Shah, CEO and Co-founder at Obvi
Obvi now handles 150+ tickets per day without adding any headcount, thanks to a 27% automation rate—which they achieved within two weeks of onboarding AI Agent.
Even for enterprise brands with larger CX teams, AI Agent helps them deal with the huge influx of queries that don’t require a human response—things like, “Where’s my order?” or “Can you cancel my order?”
And it’s also more than the support teams who benefit. With more time given back to agents for strategic thinking, support teams can share helpful advice across the entire organization:
This way, customer support becomes less about the speed of ticket resolution and more about providing high-quality customer service that returns the favor with higher CLTV. How? Let’s review a few stories from brands using AI Agent.
💡 Pro Tip: Deflect WISMO tickets and let customers track their order by activating Order Management in your AI Agent settings. Go to Settings > Productivity > Order Management and toggle Track Order on.
Every brand eventually faces a common dilemma: how to scale efficiently while keeping customer experience high and costs low.
This was no different for Psycho Bunny, the vibrant menswear brand known for its edgy twist on classic styles and its iconic skull-and-crossbones rabbit logo. As the company grew, so did the challenge of maintaining top-notch customer support without skyrocketing overhead costs.
"As we continue to grow this multi-million dollar company, the most important thing is maintaining or improving our current KPIs and CSAT, but without raising our customer support overhead. And being able to maintain this for the next 5–10 years."
—Tosha Moyer, Senior Customer Experience Manager at Psycho Bunny
Recognizing the need for innovation, the team turned to AI for a solution, specifically through Gorgias. Quickly after setup, the team began trialing AI Agent and named it Lisa.
Gorgias’s conversational AI tool, AI Agent, is an extension of your team. Just like a new support agent, AI Agent can:
For Psycho Bunny, AI Agent quickly became a vital member of the team, resolving 26% of customer tickets with lightning speed—99.4% faster than human agents.
By handling repetitive questions like order status and returns, Lisa freed up human agents to tackle more complex and high-value customer interactions.
One of its standout features is its ability to respond with empathy and personalization, reflecting the specific information customers provide.
"We love the empathy in AI Agent’s responses," said Mary Mundy, Technical Support Specialist at Psycho Bunny. "Replacing a generic automated reply with a response that identifies the issues and has empathy, while communicating the key information the customer needs, is awesome."
The impact was immediate and impressive. Lisa answered queries 10 times faster than the team average, typically resolving tickets in under 2 minutes compared to the 4+ hours it took human agents.
Within the first two months, AI Agent shot to the top of Psycho Bunny’s customer support leaderboard for first response and resolution times, all while generating higher CSAT scores (4.67) than the team average (4.6).
💡 Pro Tip: Give your AI Agent some personality to match how your human agents speak. Go to AI Agent > Settings tab, and in the Tone of Voice menu, choose from Friendly, Professional, Sophisticated, or Custom tones.
Kirby Allison, the luxury shoe and garment care retailer, has been a staple for well-dressed customers since 2011. However, their growing success came with a hefty challenge: an overwhelming influx of customer support inquiries.
With just two dedicated team members handling a surge of repetitive questions and manual processes, Kirby Allison’s customer support team was stretched thin.
The pressure was on Addison Debter, Head of Customer Service, who not only managed customer queries but also juggled inventory management, product information updates, and website development.
"We were inundated with simple, repetitive questions: 'Where is my order?' 'What kind of shoe polish do I need?' We had to keep repeating similar answers to similar questions. And we were doing the exchanges and returns manually, one by one. We were losing so much time. We couldn't follow up with customers as quickly as we wanted," Addison shared.
The team wanted a better way to handle these tickets, so they switched from Zendesk to Gorgias, specifically for the automation features.

"Our favorite features are definitely Flows and Article Recommendations," Addison said. "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."

Flows allow you to display up to six commonly asked questions directly in your chat widget. If a customer clicks on one of those questions, they’re redirected to articles from your knowledge base where they get the answer quickly. It’s an entirely self-serve experience.

Auto responses have also been impactful for this team. These work by using Rules to automatically reply to emails and messages based on the context of the customer's message.
The results? Within just two months, Kirby Allison saw a 23% increase in conversions and a staggering 46% boost in sales from support.
Automating responses to pre-sales questions freed up the team to engage in conversations that led to sales, improving both revenue and efficiency.
💡 Not sure which FAQs to include in your Chat? Check out our list of 50+ FAQ templates here.
The holidays are always difficult for support teams. The stakes are high, and so is the influx of support tickets.
Thankfully, customers can get the answers and guidance they need faster and more easily via self-serve order management, Flows, and AI-driven Article Recommendations.
Shinesty, the brand that’s all about making the world take itself less seriously, started out selling wacky vintage suits. Nowadays, they’re best known for their men’s underwear range, including the signature Ball Hammocks, which promise booty bliss and scrotal serenity.
Shinesty also offers a subscription service, delivering a fresh pair of underwear each month with exclusive prints and discounts.
As with many ecommerce brands, Shinesty’s peak sales period spans from Black Friday through Christmas. The year-round customer support team of three builds up to 20 agents during the holidays to handle this surge.
For the 2023 holiday season, Molly Kerrigan, Senior Director of Retention, aimed to boost efficiency through automation. The goal? Help the CX team work smarter, not harder, and maintain their stellar customer satisfaction without increasing headcount.
“We get a lot of praise from our customers, and they talk highly of our CX team after 1:1 interactions. We can’t lose that as we scale,” Molly emphasized.
The team was swamped with repetitive questions about order status, discounts, and account management—all important queries but ones that don’t necessarily build customer relationships. Self-service solutions seemed like the answer, but previous tools struggled with Shinesty’s subscription model complexities

“Other tools required a high level of customization to handle the subscription element. But Gorgias AI Agent has been straightforward,” said Molly.
After seeing the impact early, Molly and her team doubled down on optimizing their use of AI Agent:
These automations are accessible via Chat, the Help Center, or the Contact Form, giving customers fast answers without needing to speak to an agent.
📚 Read more: Offer more self-serve options with flows: 10 use cases & best practices

Shinesty’s Flows are so effective that many have an automation rate of over 90%, meaning they resolve customer inquiries 90% of the time without human intervention.
AI Agent helped Shinesty significantly save on recruitment, training, and overtime costs. Shinesty’s first response time has dropped by 65% and resolution time by 69%. This has resulted in the fastest resolution times Shinesty has ever seen, with the smallest CX team they’ve ever had—just five agents for the 2023 peak season, compared to 20 in 2021 and 12 in 2022.

Today, shoppers expect a high-quality shopping experience, and we know that they love having the power to solve problems on their own, on their schedule. In fact, 84% say a company's customer experience is as important as its products and services.
While we’ve seen how AI Agent can help you meet those expectations, a core component to making all of the flows work effectively is a customer knowledge base. This is crucial for any effective customer support automation strategy. Why?
A few reasons:
A knowledge base is an interactive portal that connects your customers to both sales and customer service. That means making it easy for them to find answers before making a purchase and helping them troubleshoot any possible issues afterward.
This brand’s Help Center shines with its customer-focused design.
At the top of the page, it addresses common questions like returns policy and product compatibility, allowing customers to find answers quickly without scrolling. To enhance the shopping experience, BrüMate offers an interactive quiz that guides customers to the perfect product, saving them the hassle of extensive research.

The Help Center also includes easily accessible links for package tracking and returning to the main site, with a chat bubble for immediate assistance. When the customer service team is offline, customers can still access helpful articles.
💡 Did you know? You can teach AI Agent information from specific URLs. Simply go to AI Agent > Knowledge > Public URL sources.
“We’ve started pushing people towards resources that are in our Help Center. We're trying to help our customers self-solve.”
—Colin Waters, leading at The Feed & former Associate Director of Customer Experience at BrüMate
By integrating AI into your customer support strategy, you can significantly reduce your team's workload. Gorgias AI Agent is proven to be able to handle 30% of inquiries autonomously within just 30 days.
Curious about how conversational AI can benefit your business? Book a demo to learn about the advantages of AI Agent and see firsthand how they can transform your customer support operations.
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While new customer acquisition is always going to be the most important driver of business growth, it’s important to keep existing customers coming back for more. Good customer retention helps brand reputation—which is itself important for new business growth—while making your overall marketing program more efficient.
Paid social media advertising is one of the most powerful customer retention tools that brands have at their disposal. In this blog, we’ll break down:
Let’s get started.
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Put simply, if you don’t use social media to stay top-of-mind for your existing customers, your competitors will. Competitor conquesting is a very real part of paid social strategy, and competing brands will always try to woo your existing audience, often with an appealing deal or offer. Retention strategies, in part, are a way to defend your brand from those encroachments.
On top of that, customers often need a reminder. Even if they love your brand and products, they aren’t going to be thinking about them all the time, so it’s on you to do a little of the lifting for them. It’s important to pop out every now and then to show them what new items you have in stock, or to encourage their next purchase with a great sales offer.
Lastly, every person’s preferred communication style is different. Not all customers read emails or marketing texts, but social usage is pretty ubiquitous: More than 7 out of 10 American adults use at least one social media platform, with Facebook (68%) and Instagram (47%) being the most popular. That makes paid social a good way to ensure your customers remain aware of your latest and greatest offerings when they’re passively browsing their preferred social apps.
Generally speaking, prospecting should always get the majority of your paid social marketing budget. At ADM, we encourage no less than 60%, and often more depending on a brand’s business model. That means retention campaigns should always represent a minority of your budget.
This is for a number of reasons: One, most businesses can’t survive without constantly restocking their pipeline of new customers. And since it’s much harder to convince an unfamiliar user to make a purchase if they haven’t heard of your brand or enjoyed your products yet, new customers will typically require more touchpoints to produce a conversion—which means more budget.
Retention campaigns, on the other hand, often work more efficiently. If you’re properly nurturing existing customers by offering perks like exclusive deals and early access to sales, they will keep purchasing. So deciding how big of a majority share your prospecting efforts get compared to retention shouldn’t be solely based on the volume of purchases you can get from each bucket: The cost of driving a purchase from each segment is a deciding factor as well.
The march towards a cookieless future has made traditional remarketing less effective on social media. Custom audiences are still useful on Meta and other social platforms, however, which means retention campaigns should rely on first-party data. Your CRM lists, which use first-party data willingly provided by your customers, will be your most important resource—though Pixel-based past purchaser audiences can also be useful for speaking to existing customers who may have purchased more recently.
The rise of AI-powered campaign types, like Meta’s Advantage+ campaigns, have also changed how marketers approach these audiences. These campaigns use algorithmic insights to deploy different ad creative based on inferences about the user and its own learnings about how different creative performs for different purposes. That makes it possible to utilize “blended” targeting—running prospecting, remarketing, and retention audiences all under the same campaign, provided you have appropriate ad creative options for each audience type in the campaign.
The most important part of this “new era” is staying on top of the spend allocated to these segments. A strong retention audience can help lift ROAS, but brands still need to monitor where spend is going within those campaigns to ensure it isn’t all gravitating to one customer type. Putting spend caps on a retention audience, or using an existing customer percentage cap in Advantage+, can be good ways to regain some control over your audiences.
There is no one-size-fits-all strategy for making sure customers come back for more, but there are some best practices to follow to set your retention efforts up for maximum success. Here’s what ADM recommends:
Upsells/Next step products:
Create targeted ads featuring “next step” products in the customer journey. For example, a running apparel brand might advertise running shoes specifically to existing customers, as these items typically have a higher price point and require more research compared to items like tights or a running bra.
First looks/early access to new products or releases:
Utilize custom lists to incentivize first-time purchasers to make a subsequent purchase with a small discount. Offer VIP early access to sales for existing customers with steeper discounts, making them feel valued and encouraging repeat business.
Special deals for existing customers only:
Target existing customers with exclusive deals on their favorite products in new colors or offer early access to new releases related to previously purchased items. This approach can enhance customer loyalty by making them feel special and appreciated.
Creative messaging specific to retention audiences:
If it’s a retention ad, users should get the impression you’re inviting them back to buy again. That’s why it’s important to differentiate retention messaging from prospecting, with ideas like:
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Because retention campaigns typically use first-party data, there’s often less guesswork involved when it comes to your results. The user is verifiably tied to the action they undertake, so marketers feel confident that they are accurately reaching existing customers they intend to.
In order to validate success, it’s best to look at the return on ad spend (ROAS) you’re getting from your retention audiences relative to your prospecting efforts. Since existing customers already have brand affinity, they should be expected to purchase more while requiring a shorter journey from impression to purchase.
That means your retention audience ROAS targets should be as much as double those of prospecting. For example, if a comfortable ROAS for one of our client’s prospecting audiences was 1.5, we would consider targeting a retention ROAS goal closer to 2.5 or 3.
The only thing as valuable as knowing what to do is knowing what not to do. Here are some of the common customer retention mistakes we have seen around the industry:
Running Generic Ads: Creating generic ads is the easiest way to lose with any segment. If your messaging isn’t tailored to your audience, it will always fall flat. This is especially true with retention audiences who already loyal customers don’t want to be spoken to like they’re brand new.
Letting Ads Go Stale: An ad might work great the first time someone sees it. It might still make an impact the fifth or tenth time. But if your same existing customers are receiving the same message repeatedly—and not converting—then fatigue can have a negative impact on performance. Make sure you’re updating retention ads frequently enough that users don’t get annoyed by or immune to your message.
Inappropriate Spend Split: As mentioned in the budgeting section, the wrong spend split and not tailoring goals to each audience can also be major hindrances to retention performance. It’s important to make sure you’re not neglecting your existing customers by putting too little budget towards them, but since existing customers are finite and new customers aren’t, it’s possible to reach oversaturation and diminishing returns if you put too much budget into those campaigns.
Bad or Outdated Customer Data: Healthy, accurate customer data is key to ensuring you are reaching the right audiences. Using outdated customer lists for targeting can be a big mistake. When using CRM segments for retention campaigns, make sure you are updating those segments frequently (or using a third-party integration like Klaviyo) to ensure segments update automatically.
As we’ve laid out here, a lot goes into running effective customer retention campaigns on your paid social media. If you’re looking for an expert performance marketing agency that can assist in all facets of your online growth, reach out to our team at Accelerated Digital Media to set up an audit.

TL;DR:
Chances are, you’ve had at least one frustrating experience with AI in customer support. Even with 69.2% of customer support professionals using AI, you’re still skeptical about making AI a permanent part of your customer support operations.
At Gorgias, building AI has been a thoughtful process. We insist on only shipping AI features that improve customer experiences, not degrade them.
To help you understand how we’re approaching AI, we’ll walk through the four pillars that ensure a positive AI experience for you and your customers: Onboard, Automate, Observe, and Coach.
Putting it all together: we view AI as the ultimate assistive tool for customer experience (CX) teams.
Before diving into the four pillars, let’s set the stage. Two major changes have occurred in the past few years:
As AI removes the grunt work from support teams’ plates, repetitive tasks such as providing order status updates, processing returns, and answering frequently asked questions can be offloaded to AI.
AI can even handle the mental work of reading, summarizing, categorizing, prioritizing, and tagging, even when a human needs to step in.
Agents can then focus on higher-impact tasks, like speaking to VIP customers on the phone, offering new support channels, driving upsells and cross-sells, and much more. This is how CX teams evolve.
Brands using Gorgias AI Agent in the alpha testing phase are already automating as much as 30% of email tickets. By the end of 2024, we envision over half of brands’ customer tickets to be handled by AI Agent.

Our overall goal is to make CX tools, including AI, that are great for customers and their overall business goals. We follow four pillars when it comes to AI at Gorgias.
Bringing AI into your support team is like onboarding a new agent. Like any agent, AI should know:
AI should model the most efficient support reps who know their brand inside and out — while being able to empathize with customers at lightning speed. That is the future of great customer service.
AI Agent’s main knowledge reference is your owned data, including your Shopify storefront and backend, Help Center articles, order data, brand voice, conversation history, and other URLs where your brand content is stored.
When adding AI Agent to your Gorgias account, you can sync each of these resources to empower your AI Agent with the knowledge it needs to answer questions and resolve basic issues.
To enhance AI Agent’s answering power, the Guidance feature allows you to provide detailed instructions on how AI Agent should interact with customers.
While the prior resources are centered around brand knowledge, Guidance is more like team processes. You can instruct AI Agent to ask follow-up questions, confirm details, and treat customers one way or another depending on factors like whether:

Tosha Moyer, Senior Customer Experience Manager at menswear brand Psycho Bunny, highlights the value of our internal guidance feature. “Guidance is so important because we have a lot of internal processes that we do not need to be described in a customer-facing article, but we want AI Agent to be able to access that information and manage tickets accordingly.”
Last, you can instruct AI to speak in your brand’s voice. When setting up AI Agent, you can provide your team’s tone of voice guidelines, brand bible, and other resources to ensure your agent represents your brand identity.

AI can do so much more than restate your brand policies. At Gorgias, we believe AI should fully resolve inquiries — and that means taking action.
According to a report by Gartner, 82% of customers say quick resolutions influence their decision to stay loyal to a brand. When we empower AI to take action, customers have better experiences and are more likely to keep doing business with a brand.
AI Agent uses the latest model of ChatGPT, 4o, combined with the content you already have to send human-like answers to customers.
But AI Agent doesn’t only regurgitate your Help Center content. It goes one step further by updating customers’ orders, changing addresses, sending order and return statuses, and more.
Native integrations with Shopify and other apps in the Gorgias ecosystem allow AI Agent to fully resolve basic inquiries by pulling customer-specific data and performing actions in other tools.
Our goal is to make connecting these tools as simple as possible, minimizing the need for technical setups like configuring API calls.

Of course, AI’s decisions on when to execute these Actions should come from your team. That’s why you can set up conditions for each Action, specifying when (and for whom) the Action can fire.

AI Agent includes a variety of pre-built Actions from popular ecommerce apps like Shopify, Recharge, and Loop Returns — with many more on the way. You can also build Custom Actions with any 3rd-party tool.

Within two months, AI Agent outranked Psycho Bunny’s human agents’ resolution times. It resolved tickets in under 2 minutes, compared to the human average of 4+ hours. Customers even gave AI Agent a 4.67/5 CSAT score — nearly 0.1 points higher than human agents’ average CSAT score.
AI is a new technology — we humans are still building trust and comfort. In fact, only 3 in 10 Americans are able to identify AI use in digital use cases, according to the Pew Research Center. This suggests a lack of transparency in how companies use AI.
In a problem-solving service like customer support, AI’s role and decision-making should be transparent: Agents should know which tickets are handled by AI, what exactly the AI did, and why.
Agents can see the logic of AI Agent right in the ticket view. This includes the knowledge source it used, the specific actions it took, and the exact responses it generated. All actions made by AI Agent are highlighted in purple or symbolized by the purple sparkle AI Agent icon.

Being able to discern AI responses from human ones allows brands to:
We highly recommend nominating one human agent to review AI Agent’s responses. Set aside time each week to review to understand how it behaves, when it responds vs hands over, and the most common knowledge resources it pulls from.
Inevitably, AI won’t be perfect from day 1. Just like a new agent, AI needs coaching. That’s why the final pillar of our AI philosophy is improving AI’s knowledge and performance through coaching.
When AI makes a mistake, you should have the power to correct it so that future errors are avoided. When AI acts correctly, you should also be able to encourage and reinforce its positive behavior.
A continuous cycle of coaching helps AI become more aligned with your brand’s standards.
Feedback is built into AI Agent. Every decision AI Agent makes can be rated with a thumbs-up/down system. Encourage AI Agent to continue making the same actions with a thumbs up, and change behavior with a thumbs down.
You can see how AI handles every situation in detail, giving you full transparency. Reviewing these decisions leads AI to better align with your brand’s standards.

In addition, you can easily instruct AI Agent to pull from different Guidance instructions and Help Center articles or execute different Actions — with the easy ability to create or edit those resources in just a few clicks.

At Gorgias, we designed AI to enhance your customer support experience. By leveraging the pillars of Onboard, Automate, Observe, and Coach, we ensure that AI Agent is an effective and reliable partner for your team.
With AI handling low-priority repetitive questions, your team can focus on creating more meaningful connections. This includes prioritizing VIP customers and escalated tickets, upselling, and engaging in higher-impact activities.
The future of AI at Gorgias is bright, with continuous improvements and new features on the horizon. Embrace the power of AI and see how it can transform your customer service team.
Book a demo today to experience the benefits of AI Agent for yourself.
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TL;DR:
In the competitive ecommerce landscape, turning browsers into buyers is like… trying to get a cat to take a bath (if you know, you know). You can activate various website campaigns until something sticks, but without relying on concrete data, you may never see the conversions you want.
This is where addressing pre-sales friction points comes into play. In other words, resolving concerns that customers face before making a purchase.
Once you’ve determined the problem areas, you can use Convert campaigns to lead customers to the checkout. These onsite campaigns have proven to enhance customer engagement, drive conversions, and significantly reduce return rates.
Ready to gain new customers? Let’s deep dive into identifying pre-sales friction points and resolving them with Convert campaigns.
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Creating campaigns that convert requires identifying your top pre-sales barriers. These are obstacles in the buying journey that prevent customers from proceeding with a purchase.
Some sale-preventing questions could be:
Proactively addressing these friction points can remove customers' hesitation when purchasing.
Take a look at three data sources to identify your brand’s specific friction points.
After you’ve identified the obstacles in customers’ buying journeys, the next step is to resolve them.
Targeted onsite campaigns with Convert are an excellent way to tackle these issues.
Here are three effective strategies to address common pre-sales friction points and enhance the shopping experience for your customers.
As of 2024, 70% of customers worldwide end up abandoning their online shopping carts. Price, value, competitors — there are many reasons why customers choose not to checkout. The solution is to engage with customers in real time while deep in shopping mode.
Conversational campaigns are among the highest-performing Convert campaign strategies, allowing brands to address customer questions and provide personalized assistance instantly.
TUSHY enhances product education by launching an educational campaign for shoppers browsing their product pages. The campaign features a video demonstrating how easy it is to install their bidets, reassuring customers about the simplicity of using their products.
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Tips for Effective Real-Time Engagement:
Timing is a critical factor in the success of onsite campaigns. Messages should be delivered at the right moment to ensure visitor attention without interrupting their browsing experience.
Fortunately, with Convert, you can target an audience based on the time spent on a visit or specific page.
Check out how cosmetics brand Glamnetic appeals to browsing customers who spend more than a minute on their page:
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Strategies for Timely Messaging:
Educating customers is about providing information and empowering them to make confident purchasing decisions.
If customers are hesitant to buy from you, consider creating educational campaigns for:
Glamnetic runs focused educational campaigns to provide customers with helpful product info and tutorials, like how to apply lash extensions. These campaigns make shopping easier and answer customers' specific questions, helping them make better buying choices.
The results? +27% higher conversation rate and +12% AOV.
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Numbers don’t lie, and these impressive data points highlight the impact of well-crafted educational campaigns:
Making the leap from browser to buyer is no easy feat. By addressing the friction points in the buyer journey, brands can smooth the path for their customers. These strategies not only enhance the shopping experience but also build customer confidence and trust.
The data speaks for itself: well-crafted educational campaigns drive higher engagement, better conversion rates, and significantly reduce returns. Remember, you're not just selling a product — you're providing a solution, building relationships, and fostering long-term success in your brand.
Let the campaigns do all the work, and book a demo with Gorgias if you’re not leveraging Convert campaigns already.

TL;DR:
Let’s stop with the doom and gloom ecommerce trends and talk about what’s really up: growth.
Yep, you read that right.
Ecommerce sales are set to soar by 8.8% in 2024, and the digital marketplace is ripe with opportunity.
Sure, we’ve all been budget-conscious for the past year or more—businesses and consumers alike. And we’re not saying you shouldn’t be.
Despite that, there is a ton of opportunity to grow your sales this year. It’s just time to understand how consumer behavior is shifting and how you should adapt to it.
So, what’s changing? We shared six trends to know about below.
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There’s no denying that the more budget-conscious mindset is creating longer consideration times.
According to a 2023 consumer behavior report from Knocommerce, only 23.4% of shoppers reported discovering a brand and making a purchase on the same day.
Meanwhile, 15.3% reported buying in the first week, and 61.3% of people reported taking longer than a week to make their first purchase.
It's imperative to adopt a full-funnel approach and strategically engage customers at every stage of their buying journey.
How? First, you must understand what they need to learn about your products, when they need to learn it, and which customer service channels and content formats they prefer for learning about your products.
Part of the issue is knowing how to simply be available for your customers. They shouldn’t feel like they’re on a scavenger hunt on your website, trying to track down your product FAQs and contact information.
Helpdesks are a great way to solve both issues. For example, with Gorgias onsite campaigns, you can recommend products to shoppers in a subtle way, typically at various stages of their buying cycle like:


Over half of consumers (55% to be exact) rank search as their top source for pre-purchase information.
Despite what some marketing gurus share online, SEO is still an essential part of any brand’s growth strategy. Don’t sleep on SEO as an acquisition channel.
Don’t forget the basics of SEO.
We know it’s easy to forget when to set up an internal link or use a specific keyword, but there are a few best practices you should use to make sure your SEO engine is chugging alone:
Remember, SEO takes time to build. Two things you should know:
Essentially, what you do today will shape your results next year, which is why it’s worth investing ASAP.
According to a report by Salesforce, 74% of customers express concerns about the unethical use of AI. Additionally, 80% emphasize the importance of human validation of AI output.
Can shoppers be any more clear about the fact that we need a human-centered approach to AI implementation?
AI is impacting how customers trust businesses. Plain and simple, you need to implement an ethical strategy and make sure it’s managed by humans.
There’s a fine balance between speed to resolution and adding a human element to every customer message. And you can have both automation and humans running the show.
Businesses that take this approach meet customer expectations for AI safeguards while driving operational efficiency and delivering exceptional customer experiences.
The proof is in the pudding: According to Gorgias data, within just 28 days, merchants who automated up to 20% of tickets experienced an impressive 8-point increase in repeat purchase rates.
Automation goes beyond keyboard shortcuts or macros; it serves as a hands-off assistant capable of engaging customers and impacting revenue significantly—while making it easy for a human to jump in at any point for more specific customer inquiries.
TL;DR: Don’t be afraid to embrace automation as a strategic tool for customer engagement and growth.
Returns are an inevitable part of ecommerce, with up to 30% of sales potentially resulting in returns.
Contrary to common belief, returns are not a cost center—they can be transformed into a profit driver and a valuable touchpoint for enhancing customer loyalty and retention.
In fact, 91% of consumers actively track their packages, indicating a high level of interest and engagement in the returns process.
By making it easy for customers to track returns and exchanges directly from the order tracking page, you reduce return-related support tickets while providing a transparent experience for buyers.
TL;DR: A well-handled return can start a new chapter in the customer's relationship with a brand, not the final page.
At the end of the day, returns can be costly… Unless you customize the returns experience based on shopper segments and save time to re-allocate to other growth-related initiatives.
Some tips:

Read more: Ecommerce returns: 10 best practices for taking your online store to the next level
A staggering 79% of customers expect consistent interactions across different departments. Unfortunately, only 45% of customers feel that companies currently provide such consistency.
Additionally, 56% of customers report the frustration of having to repeat or re-explain information to different representatives, highlighting the disconnect between departments within organizations.
PwC states that 44% of consumers are willing to engage with chatbots to seek product information before making a purchase, making it even more important to have consistency across departments.
Today, customer support teams play a dual role as both problem solvers for post-purchase inquiries and guides for customers exploring products before buying.
Your support team must understand how to provide consistent support, pre-sale and post-sale. No matter where a buyer is in their journey, every message should feel consistent with the rest of the brand’s ethos.
Our recommendation?
First, develop templates and macros for customer communication to ensure consistency in tone of voice. By providing standardized responses, businesses can maintain a cohesive brand identity and deliver a seamless experience to customers.
Second, keep all customer information in one centralized location to avoid the need for repetitive inquiries and ensure a holistic view of each customer's interaction history with the brand. No one should have to repeat themselves when trying to get support.
Last, promote a customer-first mindset across the entire organization by prioritizing the needs and preferences of customers in all decision-making processes. For a real-life example of what this looks like, Amanda Kwasniewicz, VP of Customer Experience, shares the strategies she uses at Love Wellness in this article here.
(Teaser: the team shares customer feedback directly in Slack for the whole company to see.)

You’re likely already aware that Gmail, Yahoo, and others are imposing stricter rules for inbox placement, making it harder for marketing emails to reach their intended recipients.
Not only that, but according to Klaviyo's benchmark report, email-placed order rates have remained stagnant, with only a minimal increase from Q1-Q3, reaching just 0.8%, and a slight rise to 0.9% in Q4.
PWC also shares that TV and social ads remain highly influential in customers’ purchase decisions, whereas email is closer to the bottom. This doesn’t mean you should stop investing in email marketing, but connecting with customers in other ways is a good idea to supplement your email efforts.
You can explore many other channels—SMS, direct mail, mobile apps. Even voice marketing is a super unique and niche way to connect with audiences today.
Here at Gorgias, we’re experts at customer experience marketing, and using conversational customer service is a great way to engage with customers directly and personally—without hoping the message hits their inbox and not the spam folder.
This communication style engages customers using various channels, including live chat, messaging apps, chatbots, and even voice support.
For example, skincare brand Topicals increased sales by 78% using conversational customer support. Specifically, the brand uses Flows to automate answers to common questions, such as:
All of this takes place within a self-service chat. These chat flows also guide shoppers to additional helpful resources in Topicals' Help Center or product pages. If a customer still has unanswered questions, a customer support agent can take over the conversation and chat with them directly.

If there’s one thing we’ll leave you with, it’s this:
Embrace the shifts, leverage the trends, and explore new avenues of engagement.
You don’t have to be scared of new customer expectations, and thankfully, there are a ton of awesome tools out there now that make it easier than ever before to connect with your buyers.
With Gorgias, you can set up conversational marketing across your website, connecting with customers in ways that resonate and drive results. You can try it out for yourself here.
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TL;DR:
For most CX teams, budgets are getting tighter, but tickets are on the rise.
With strapped teams and incoming customer issues, automation is becoming an ideal tool.
94% of Gorgias customers agree, according to our recent survey.
Supporting automation in your workflow now is a surefire way to set your team up for success. Let’s explore why we’ll see an AI and automation-driven future within CX.
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Happy customers are the best fuel for growth. Why?
Happy customers want to come back to shop with you, and we know that repeat customers give long-term value to your brand.
Findings from 12,000+ Gorgias merchants show that repeat customers:
Our research also found that it is five times less expensive for a brand to retain an existing customer than it is to source a new one.
If you want to see improvement in your repeat purchase rates, automation is the way to go. Automation can handle repetitive inquiries from customers, like “Where’s my order?” so your team can focus on high-touch problems.
Brands that use Gorgias to fuel automation see improved repeat purchase rates. Within 28 days, merchants who automated up to 20% of tickets increased their repeat purchase rate by 8 points.
Gorgias's research found that 90% of U.S. customers expect an immediate customer service response. Of those customers, 60% want that response in 10 minutes or less.
A significant advantage of automation is that it effectively gives you a zero-second response time. When you trust automation to handle even a tiny percentage of your incoming tickets, you will see a decrease in your first-response time (FRT).
After Shinesty implemented Gorgias AI Agent, the company saw a 65% boost in its first response time. This change in FRT made a monumental impact on the support team's workload.
Thanks to AI Agent, Shinesty is able to deflect 55% of incoming tickets with automation, giving CX agents more time to deliver personalized and proactive support to customers.
On this improvement, Molly Kerrigan, Senior Director of Retention at Shinesty, says:
“AI Agent has allowed us to focus on improving customer experience from the ground up, because we're not so deep in ‘ticket town.’”
Thanks to automation features from Gorgias, Shinesty gained the best of both worlds, providing excellent customer service while saving the budget.
An added benefit of lightning-fast response times is getting to a resolution faster. This is more than just a nice-to-have — it makes your customers happier.
As we said earlier, happy customers are more likely to shop again and cite an overall more positive experience with your brand. This is a full-circle moment that shows how a slight change in workflow can lead to significantly positive results.
In 2022, Gorgias studied over 10,000 ecommerce brands to understand the connection between customer experience and growth. We found that lowering the average resolution time to under 6 hours gave companies a 2% boost in revenue.
With Gorgias, customers see resolution times improve dramatically, with automatically handled tickets resolving issues 52% faster than those handled without.

That happened at Psycho Bunny, where the customer support team saw resolution times improve by a staggering 99.4% after implementing Gorgias AI Agent to automate 26% of customer tickets.
With AI Agent to support the team, Psycho Bunny’s human customer support agents were free to spend more time on higher-value tasks beyond answering FAQs.
“Our customer support KPIs are already fantastic: we're already leading in the industry,” says Tosha Moyer, Senior Customer Experience Manager at Psycho Bunny. “To improve on that, we need AI — it’s not physically or financially possible with human agents alone.”
Growth is always the goal, and incorporating automation into your existing CX workflow is a tool for achieving that growth.
Brands that use Gorgias's automation tools can successfully scale their customer service operations quickly.
For example, just 30 days after deploying Gorgias's automation features, brands see an average 1% increase in CSAT.
It's a small move in the meter that has a long-lasting impact on team morale, improved customer interactions, and a more positive experience for shoppers.
Obvi relies on Gorgias’s automation features to efficiently handle 150+ tickets each day with a slim team.
AI Agent manages about 27% of Obvi’s incoming tickets — which consist of low-priority, simple, or repetitive customer inquiries. This frees up the support team to answer complex tickets and drive sales, leading to an astonishing 10x boost in revenue over BFCM.
Even better, Obvi was able to achieve all of this after onboarding Gorgias in just two weeks.
“AI is going to help us transform ourselves into deeper thinkers by taking over simple, standardized functions,” says Ron Shah, CEO and Co-founder at Obvi. “In the ecommerce world, Gorgias is getting ahead with doing that for customer support — they’re the center of the AI revolution, and that is the standard customers are expecting.”
Your team can focus on more meaningful work by automating responses to repetitive questions or low-priority tickets.
Quickly solving a customer's problem also means they can get back to checkout faster.
But remember, automation is a tool, not a replacement for human agents. Automation helps teams of all sizes drive value, gaining extra support without spending more overhead.
July turns to AI Agent to tackle 30% of incoming tickets, taking on the workload of three extra agents.
In this case, the company has the demand to support a bigger team but not the budget. Automation helps July fill this gap to provide a seamless customer experience without overextending their human teammates.
“We immediately deflected 450 tickets a month just by setting up some automated Flows,” says Alex Naoumidis, Head of Operations and CX at July.
“Now, we don’t waste the customer or the agent’s time with basic questions that probably don’t require any human interaction.”
Gorgias is leading the revolution in conversational AI for ecommerce.
Features like our AI-generated Help Center, AI Agent, Flows, and Quick Responses allow brands to autonomously answer customer questions and track and measure AI-customer interactions to create more meaningful customer experiences and transform how support is delivered.
Start a free trial to see Gorgias AI Agent and automation features in action.
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Unfortunately, many shoppers struggle to find the information they need while shopping online, even when self-service portals should be standard, according to 88% of consumers.
At Gorgias, we focus on simplifying customer experiences with AI and automation tools. Our automation tool, Flows, is a self-service feature that delivers shoppers instant answers throughout the entire buying journey, whether it’s to find the right size or track an order.
Keep reading, and we’ll show you how to leverage self-service options at every customer touchpoint using Flows. We’ll start with 10 Flows examples from ecommerce brands, show you how to do it yourself on Gorgias, and then put all the learnings together with some best practices.
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Flows are designed to initiate simple interactions that quickly guide shoppers to the information or actions they need. They minimize website bounce rates and enhance automation rates for ecommerce customer support teams.
Flows enhance your website's chat by automating interactions with customers. They provide an immediate automated response with just one click or guide customers through a branching path that caters to their specific needs. This path could include multiple-choice questions or even prompt customers to log in and select an order.
Effective ways to use Flows:
Read more: The types of Flow steps
Flows are so versatile that they can be used for every type of shopping experience, whether a shopper has just discovered you or they’re already a dedicated brand advocate.
We’ll go through 10 use cases that could benefit from a Flow, show you how real ecommerce brands use them, and how you can make them yourself with Gorgias AI Agent.
Provide instant answers to customers' shipping inquiries with an easy-to-access shipping policy Flow directly on your website. This Flow efficiently resolves questions about shipping times and fees, helping customers quickly go from browsing to buying.
Nomad states their shipping policy in a Flow that conveniently answers processing time, shipping time, and shipping rates:
Gorgias has a templated Flow to get you started. Here's what a shipping policy Flow might look like:

If a customer isn’t satisfied with your product, don’t make it harder for them to return it. A returns Flow not only clarifies your return policy to motivate a customer who's on the fence but also connects them directly to the right process to start a return or exchange. All they have to do is enter their order number and email, and they’re done.
No handling it on the agent side and waiting from the customer end.
Try out bag brand CALPAK’s returns Flow in the tour below:
Gorgias has a templated Flow to get you started. Here's what a return and exchange Flow might look like:

A product-matching quiz can solve decision fatigue if shoppers are faced with multiple versions of a product — like a supplement for different concerns, beverage flavors, or makeup for different skin tones.
Sol de Janeiro, the fast-growing body care brand, boasts shower gels, body creams, and fragrances of different scents and colors. To prevent customers from feeling overwhelmed, Sol de Janeiro offers product-matching quizzes.
For example, their What body cream is right for me? quiz asks customers about their main skin concern. If a customer’s concern is smooth skin, they’ll recommend a body cream supporting skin elasticity. If the concern is firmer-looking skin, they recommend a cream rich in antioxidants.
Here’s what the Flow looks like on Sol de Janeiro’s website:
Gorgias has a templated Flow to get you started. Here's what a simple product recommendation Flow might look like:

Seventy-four percent of customers forget they’re paying for a subscription, based on C+R Research. Keep customer relationships honest and show customers that they have full control over their memberships, whether they want to upgrade, downgrade, or cancel their subscription plans.
Even if you have a customer portal for managing subscriptions, not all customers will look for it on their own. A Flow can bridge this gap by guiding customers directly to the portal while significantly reducing the volume of subscription-related tickets in your inbox.
Online vet care service Dutch lays it all out with a subscription management Flow, providing customers with straightforward instructions:
Gorgias has a templated Flow to get you started. Here's what a subscription management Flow might look like:

Big ticket purchases need extra support in case of defective parts. Tell customers you’ve got their back by displaying your warranty policy upfront. You’ll ease their concerns and earn their loyalty knowing their premium buy is protected.
Bidet brand TUSHY sells premium bidets. To provide similarly premium customer experiences, they have a 12-month guarantee on equipment and parts. They present their warranty policy Flow on their website:
Gorgias has a templated Flow to get you started. Here's what a warranty policy Flow might look like:

“Sold Out” or “Out of Stock” aren’t the nicest words to see on a product page, especially if you’re a repeat customer ready to buy your favorite product. To keep customers in the loop, create a Flow that lets them know the status of your products.
For the baby stroller brand Zoe, popular products sell out quickly. To efficiently manage customer inquiries, they created a When are you expecting a restock? Flow. It informs customers about product availability and also encourages them to leave their email address or SMS number. This ensures they can purchase a stroller as soon as it's back in stock and allows Zoe to connect with them for future marketing efforts.
Here's what a restock notification Flow might look like:

Products may require additional assistance depending on their usage. These can be products like electronics, apparel, and furniture. If customers are asking the same troubleshooting question, it would be best to add a troubleshooting Flow.
Check out how CAKES handles product issues with a simple Troubleshoot Flow:
Gorgias has a templated Flow to get you started. Here's what a troubleshooting Flow might look like:
Nothing beats a warm welcome, especially for new customers who are just starting their journey with your brand. A welcome Flow is essential for engaging these newcomers right from the start. It provides them with crucial product education and relevant information, setting the tone for a supportive customer relationship.
Take a look at how Crunch Labs, STEM building kits for kids, assists customers with a welcome Flow:
Here's what a welcome Flow might look like:

Apparel brands face frequent sizing inquiries that can lead to returns. A sizing guide Flow provides clear, self-service information upfront, reducing sizing issues. This Flow acts as a self-service tool that customers can use to find their correct size before purchasing.
Here’s how gender-inclusive apparel brand Both& guides customers to the right size:
Gorgias has a templated Flow to get you started. Here's what a sizing guide Flow might look like:

Unanswered pre-sales questions can deter purchases. A pre-sales question Flow delivers immediate, thorough answers, leads to a boost in customer confidence, and reduces post-purchase dissatisfaction.
Organic soap brand Dr. Bronner’s provides shelf life information for all their products with a Flow:
Here's what a pre-sales question Flow might look like:

Single-step Flows are the most engaging Flows because there’s no opportunity for shoppers to drop off. Single-step Flows can link out to additional resources, like a Help Center article or a returns and subscription portal through tools like Loop Returns or Recharge.
💡 Pro Tip: Keep Flows to a maximum of five steps. Any more and you're likely to lose customers’ attention.
Online stores’ top-performing Flows are almost always about shipping and return policies. Make sure to anticipate customer questions by creating a Flow for each policy, succinctly answering questions like:
Shipping Policy:
Return Policy:
Flows will not appear for shoppers unless the language of the Flow matches the language of the shopper's browser — including regional languages.
If a Flow is only in English (UK), it will not show up for American shoppers whose browsers are in English (US).
If you sell internationally, we highly recommend adding all possible languages to Flows, including regional languages.
Note: Gorgias Chat supports 15 languages, including English (US and UK), French (France and Canada), Spanish, Danish, Swedish, Italian, Dutch, German, Norwegian, Czech, Brazilian Portuguese, Japanese, and Finnish.
Read more: Multi-language support for Chat
Flows often automate interactions when they send customers to another page (like a Recharge login page or a Loop portal, or even sometimes a Help Center article).
If a customer’s inquiry could be solved with one of these tools, include a link to the right page in the Flow’s automated answer.
Join brands like Shinesty that use AI Agent to transform their customer experience. By using our AI and automation features, Shinesty has been able to automate over 50% of their customer tickets.
Book a demo now and be a part of the 15,000+ ecommerce brands using Gorgias to transform their customer experiences.
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