

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:
While most ecommerce brands debate whether to implement AI support, customers already rate AI assistance nearly as highly as human support. The future isn't coming. It's being built in real-time by brands paying attention.
As a conversational commerce platform processing millions of support tickets across thousands of brands, we see what's working before it becomes common knowledge. Three major shifts are converging faster than most founders realize, and this article breaks down what's already happening rather than what might happen someday.
By the end of 2026, we predict that the performance gap between ecommerce brands won't be determined by who adopted AI first. It will be determined by who built the content foundation that makes AI actually work.
Right now, we're watching this split happen in real time. AI can only be as good as the knowledge base it draws from. When we analyze why AI escalates tickets to human agents, the pattern is unmistakable.
The five topics triggering the most AI escalations are:
These aren’t complicated questions — they're routine questions every ecommerce brand faces daily. Yet some brands automate these at 60%+ rates while others plateau at 20%. The difference isn't better AI. It's better documentation.
Take SuitShop, a formalwear brand that reached 30% automation with a lean CX team. Their Director of Customer Experience, Katy Eriks, treats AI like a team member who needs coaching, not a plug-and-play tool.
When Katy first turned on AI in August 2023, the results were underwhelming. So she paused during their slow season and rebuilt their Help Center from the ground up. "I went back to the tickets I had to answer myself, checked what people were searching in the Help Center, and filled in the gaps," she explained.
The brands achieving high automation rates share Katie's approach:
AI echoes whatever foundation you provide. Clear documentation becomes instant, accurate support. Vague policies become confused AI that defaults to human escalation.
Read more: Coach AI Agent in one hour a week: SuitShop’s guide
Two distinct groups will emerge next year. Brands that invest in documentation quality now will deliver consistently better experiences at lower costs. Those who try to deploy AI on top of messy operations will hit automation plateaus and rising support costs. Every brand will eventually have access to similar AI technology. The competitive advantage will belong to those who did the unexciting work first.
Something shifted in July 2025. Gorgias’s AI accuracy jumped significantly after the GPT-5 release. For the first time, CX teams stopped second-guessing every AI response. We watched brand confidence in AI-generated responses rise from 57% to 85% in just a few months.
What this means in practice is that AI now outperforms human agents:
For the first time, AI isn't just faster than humans. It's more consistent, more accurate, and even more empathetic at scale.
This isn't about replacing humans. It's about what becomes possible when you free your team from repetitive work. Customer expectations are being reset by whoever responds fastest and most completely, and the brands crossing this threshold first are creating a competitive moat.
At Gorgias, the most telling signal was AI CSAT on chat improved 40% faster than on email this year. In other words, customers are beginning to prefer AI for certain interactions because it's immediate and complete.
Within the next year, we expect the satisfaction gap to hit zero for transactional support. The question isn't whether AI can match humans. It's what you'll do with your human agents once it does.
The brands that have always known support should drive revenue will finally have the infrastructure to make it happen on a bigger scale. AI removes the constraint that's held this strategy back: human bandwidth.
Most ecommerce leaders already understand that support conversations are sales opportunities. Product questions, sizing concerns, and “just browsing” chats are all chances to recommend, upsell, and convert. The problem wasn't awareness but execution at volume.
We analyzed revenue impact across brands using AI-powered product recommendations in support conversations. The results speak for themselves:
It's clear that conversations that weave in product recommendations convert at higher rates and result in larger order values. It’s time to treat support conversations as active buying conversations.
If you're already training support teams on product knowledge and tracking revenue per conversation, keep doing exactly what you're doing. You've been ahead of the curve. Now AI gives you the infrastructure to scale those same practices without the cost increase.
If you've been treating support purely as a cost center, start measuring revenue influence now. Track which conversations lead to purchases, which agents naturally upsell, and where customers ask for product guidance.
We are now past the point where response time is a brand's key differentiator. It is now the use of conversational commerce or systems that share details and context across every touchpoint.
Today, a typical customer journey looks something like this: see product on Instagram, ask a question via DM, complete purchase on mobile, track order via email. At each step, customers expect you to remember everything from the last interaction.
The most successful ecommerce tech stacks treat the helpdesk as the foundation that connects everything else. When your support platform connects to your ecommerce platform, shipping providers, returns portal, and every customer communication channel, context flows automatically.
A modern integration approach looks like this. Your ecommerce platform (like Shopify) feeds order data into a helpdesk like Gorgias, which becomes the hub for all customer conversations across email, chat, SMS, and social DMs. From there, connections branch out to payment providers, shipping carriers, and marketing automation tools.
As Dr. Bronner’s Senior CX Manager noted, “While Salesforce needed heavy development, Gorgias connected to our entire stack with just a few clicks. Our team can now manage workflows without needing custom development — we save $100k/year by switching."
As new channels emerge, brands with flexible tech stacks will adapt quickly while those with static systems will need months of development work to support new touchpoints. The winners will be brands that invest in their tools before adding new channels, not after customer complaints force their hand.
Start auditing your current integrations now. Where does customer data get stuck? Which systems don’t connect to each other? These gaps are costing you more than you realize, and in the future, they'll be the key to scaling or staying stagnant.
Post-purchase support quality will be a stronger predictor of customer lifetime value than any email campaign. Brands that treat support as a retention investment rather than a cost center will outperform in repeat purchase rates.
Returns and exchanges are make-or-break moments for customer lifetime value. How you handle problems, delays, and disappointments determines whether customers come back or shop elsewhere next time. According to Narvar, 96% of customers say they won’t repurchase from a brand after a poor return experience.
What customers expect reflects this reality. They want proactive shipping updates without having to ask, one-click returns with instant label generation, and notifications about problems before they have to reach out. When something goes wrong, they expect you to tell them first, not make them track you down for answers.
The quality of your response when things go wrong matters more than getting everything right the first time. Exchange suggestions during the return flow can keep the sale alive, turning a potential loss into loyalty.
Brands that treat post-purchase as a retention strategy rather than a task to cross off will see much higher repeat purchase rates. Those still relying purely on email marketing for retention will wonder why their customer lifetime value plateaus.
Start measuring post-return CSAT scores and repeat purchase rates by support interaction quality. These metrics will tell you whether your post-purchase experience is building loyalty or quietly eroding it.
After absorbing these predictions about AI accuracy, content infrastructure, revenue-centric support, context, and post-purchase tactics, here's your roadmap for the next 24 months.
Now (in 90 days):
Next (in 6-12 months):
Watch (in 12-24 months):
The patterns we've shared, from AI crossing the accuracy threshold to documentation quality, are happening right now across thousands of brands. Over the next 24 months, teams will be separated by operational maturity.
Book a demo to see how leading brands are already there.
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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:
Rising customer expectations, shoppers willing to pay a premium for convenience, and a growing lack of trust in social media channels to make purchase decisions are making it more challenging to turn a profit.
In this emerging era, AI’s role is becoming not only more pronounced, but a necessity for brands who want to stay ahead. Tools like Gorgias Shopping Assistant can help drive measurable revenue while reducing support costs.
For example, a brand that specializes in premium outdoor apparel implemented Shopping Assistant and saw a 2.25% uplift in GMV and 29% uplift in average order volume (AOV).
But how, among competing priorities and expenses, do you convince leadership to implement it? We’ll show you.
Shoppers want on-demand help in real time that’s personalized across devices.
Shopping Assistant recalls a shopper’s browsing history, like what they have clicked, viewed, and added to their cart. This allows it to make more relevant suggestions that feel personal to each customer.
The AI ecommerce tools market was valued at $7.25 billion in 2024 and is expected to reach $21.55 billion by 2030.
Your competitors are using conversational AI to support, sell, and retain. Shopping Assistant satisfies that need, providing upsells and recommendations rooted in real shopper behavior.
Conversational AI has real revenue implications, impacting customer retention, average order value (AOV), conversion rates, and gross market value (GMV).
For example, a leading nutrition brand saw a GMV uplift of over 1%, an increase in AOV of over 16%, and a chat conversion rate of over 15% after implementing Shopping Assistant.
Overall, Shopping Assistant drives higher engagement and more revenue per visitor, sometimes surpassing 50% and 20%, respectively.

Shopping Assistant engages, personalizes, recommends, and converts. It provides proactive recommendations, smart upsells, dynamic discounts, and is highly personalized, all helping to guide shoppers to checkout.
After implementing Shopping Assistant, leading ecommerce brands saw real results:
Industry |
Primary Use Case |
GMV Uplift (%) |
AOV Uplift (%) |
Chat CVR (%) |
|---|---|---|---|---|
Home & interior decor 🖼️ |
Help shoppers coordinate furniture with existing pieces and color schemes. |
+1.17 |
+97.15 |
10.30 |
Outdoor apparel 🎿 |
In-depth explanations of technical features and confidence when purchasing premium, performance-driven products. |
+2.25 |
+29.41 |
6.88 |
Nutrition 🍎 |
Personalized guidance on supplement selection based on age, goals, and optimal timing. |
+1.09 |
+16.40 |
15.15 |
Health & wellness 💊 |
Comparing similar products and understanding functional differences to choose the best option. |
+1.08 |
+11.27 |
8.55 |
Home furnishings 🛋️ |
Help choose furniture sizes and styles appropriate for children and safety needs. |
+12.26 |
+10.19 |
1.12 |
Stuffed toys 🧸 |
Clear care instructions and support finding replacements after accidental product damage. |
+4.43 |
+9.87 |
3.62 |
Face & body care 💆♀️ |
Assistance finding the correct shade online, especially when previously purchased products are no longer available. |
+6.55 |
+1.02 |
5.29 |
Shopping Assistant drives uplift in chat conversion rate and makes successful upsell recommendations.
“It’s been awesome to see Shopping Assistant guide customers through our technical product range without any human input. It’s a much smoother journey for the shopper,” says Nathan Larner, Customer Experience Advisor for Arc’teryx.
For Arc’teryx, that smoother customer journey translated into sales. The brand saw a 75% increase in conversion rate (from 4% to 7%) and 3.7% of overall revenue influenced by Shopping Assistant.

Because it follows shoppers’ live journey during each session on your website, Shopping Assistant catches shoppers in the moment. It answers questions or concerns that might normally halt a purchase, gets strategic with discounting (based on rules you set), and upsells.
The overall ROI can be significant. For example, bareMinerals saw an 8.83x return on investment.
"The real-time Shopify integration was essential as we needed to ensure that product recommendations were relevant and displayed accurate inventory,” says Katia Komar, Sr. Manager of Ecommerce and Customer Service Operations, UK at bareMinerals.
“Avoiding customer frustration from out-of-stock recommendations was non-negotiable, especially in beauty, where shade availability is crucial to customer trust and satisfaction. This approach has led to increased CSAT on AI converted tickets."

Shopping Assistant can impact CSAT scores, response times, resolution rates, AOV, and GMV.
For Caitlyn Minimalist, those metrics were an 11.3% uplift in AOV, an 18% click through rate for product recommendations, and a 50% sales lift versus human-only chats.
"Shopping Assistant has become an intuitive extension of our team, offering product guidance that feels personal and intentional,” says Anthony Ponce, its Head of Customer Experience.

Support agents have limited time to assist customers as it is, so taking advantage of sales opportunities can be difficult. Shopping Assistant takes over that role, removing obstacles for purchase or clearing up the right choice among a stacked product catalog.
With a product that’s not yet mainstream in the US, TUSHY leverages Shopping Assistant for product education and clarification.
"Shopping Assistant has been a game-changer for our team, especially with the launch of our latest bidet models,” says Ren Fuller-Wasserman, Sr. Director of Customer Experience at TUSHY.
“Expanding our product catalog has given customers more choices than ever, which can overwhelm first-time buyers. Now, they’re increasingly looking to us for guidance on finding the right fit for their home and personal hygiene needs.”
The bidet brand saw 13x return on investment after implementation, a 15% increase in chat conversion rate, and a 2x higher conversion rate for AI conversations versus human ones.

Customer support metrics include:
Revenue metrics to track include:
Shopping Assistant connects to your ecommerce platform (like Shopify), and streamlines information between your helpdesk and order data. It’s also trained on your catalog and support history.
Allow your agents to focus on support and sell more by tackling questions that are getting in the way of sales.
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TL;DR:
Most shoppers arrive with questions. Is this the right size? Will this match my skin tone? What’s the difference between these models? The faster you can guide them, the faster they decide.
As CX teams take on a bigger role in driving revenue, these moments of hesitation are now some of the most important parts of the buying journey.
That’s why more brands are leaning on conversational AI to support these high-intent questions and remove the friction that slows shoppers down. The impact speaks for itself. Brands can expect higher AOV, stronger chat conversion rates, and smoother paths to purchase, all without adding extra work to your team.
Below, we’re sharing real use cases from 11 ecommerce brands across beauty, apparel, home, body care, and more, along with the exact results they saw after introducing guided shopping experiences.
When you’re shopping for shoes similar to an old but discontinued favorite, every detail counts, down to the color of the bottom of the shoe. But legacy brands with large catalogs can be overwhelming to browse.
For shoppers, it’s a double-edged sword: they want to feel confident that they checked your entire collection, but they also don’t want to spend time looking for it.
How Shopping Assistant helps:
Shopping Assistant accelerates the process, turning hazy details into clear, friendly guidance.
It describes shoe details, from colorways to logo placement, compares products side by side, and recommends the best option based on the shopper’s preferences and conditions.
The result is shoppers who feel satisfied and more connected with your brand.

Results:
Big events call for great outfits, but putting one together online isn’t always easy. With thousands of options to scroll through, shoppers often want a bit of styling direction.
How Shopping Assistant helps:
Shoppers get to chat with a virtual stylist who recommends full outfits based on the occasion, suggests accessories to complete the look, and removes the guesswork of pairing pieces together.
The result is a fun, confidence-building shopping experience that feels like getting advice from a stylist who actually understands their plans.

Results:
Shade matching is hard enough in-store, but doing it online can feel impossible. Plus, when a longtime favorite gets discontinued, shoppers are left guessing which new shade will come closest. That uncertainty often leads to hesitation, abandoned carts, or ordering multiple shades “just in case.”
How Shopping Assistant helps:
Shoppers find their perfect match without any of the guesswork. The assistant asks a few quick questions, recommends the closest shade or formula, and offers smart alternatives when a product is unavailable.
The experience feels like chatting with a knowledgeable beauty advisor — someone who makes the decision easy and leaves shoppers feeling confident in what they’re buying.
Katia Komar, Sr. Manager of Ecommerce and Customer Service Operations at bareMinerals UK says, “What impressed me the most is the AI’s ability to upsell with a conversational tone that feels genuinely helpful and doesn't sound too pushy or transactional. It sounds remarkably human, identifying correct follow-up questions to determine the correct product recommendation, resulting in improved AOV. It’s exactly how I train our human agents and BPO partners.”

Results:
When shoppers are buying gifts, especially for someone else, they often know who they’re shopping for but not what to buy. A vague product name or a half-remembered scent can quickly make the experience feel overwhelming without someone to guide them.
How Shopping Assistant helps:
Thoughtful guidance goes a long way. By asking clarifying questions and recognizing likely mix-ups, Shopping Assistant helps shoppers figure out what the recipient was probably referring to, then recommends the right product along with complementary gift options that make the choice feel intentional.
It brings the reassurance of an in-store associate to the online experience, helping shoppers move forward with confidence.

Results:
Finding the right bra size online is notoriously tricky. Shoppers often second-guess their band or cup size, and even small uncertainties can lead to returns — or abandoning the purchase altogether.
Many customers just want someone to walk them through what a proper fit should actually feel like.
How Shopping Assistant helps:
Searching for products is no longer a time-consuming process. Shopping Assistant detects a shopper’s search terms and sends relevant products in chat. Like an in-store associate, it uses context to deliver what shoppers are looking for, so they can skip the search and head right to checkout.

Results:
For shoppers buying personalized jewelry, the details directly affect the final result. That’s why customization questions come up constantly, and why uncertainty can quickly stall the path to purchase.
How Shopping Assistant helps:
Shopping Assistant asks about the shopper’s style preferences and customization needs, then recommends the right product and options so they can feel confident the final piece is exactly their style. The experience feels quick, helpful, and designed to guide shoppers toward a high investment purchase.

Results:
Decorating a home is personal, and shoppers often want reassurance that a new piece will blend with what they already own. Questions about color palettes, textures, and proportions come up constantly. And without guidance, it’s easy for shoppers to feel unsure about hitting “add to cart.”
How Shopping Assistant helps:
Giving shoppers personalized styling support helps them visualize how pieces will work in their home.
Shoppers receive styling suggestions based on their existing space as well as recommendations on pieces that complement their color palette.
It even guides them toward a 60-minute virtual styling consultation when they need deeper help. The experience feels thoughtful and high-touch, which is why shoppers often spend more once they feel confident in their choices.

Results:
When shoppers discover a new drink mix, they’re bound to have questions before committing. How strong will it taste? How much should they use? Will it work with their preferred drink or routine? Uncertainty at this stage can stall the purchase or lead to disappointment later.
How Shopping Assistant helps:
Clear, friendly guidance in chat helps shoppers understand exactly how to use the product. Shopping Assistant answers questions about serving size, flavor strength, and pairing options, and suggests the best way to prepare the mix based on the shopper’s preferences.

Results:
Shopping for health supplements can feel confusing fast. Customers often have questions about which formulas fit their age, health goals, or daily routine. Without clear guidance, most will hesitate or pick the wrong product.
How Shopping Assistant helps:
Shopping Assistant detects hesitation when shoppers linger on a search results page. It proactively asks a few clarifying questions, narrows down product options, and points shoppers to the best product or bundle for their needs.
The entire experience feels supportive and gives shoppers confidence they’ve picked the right option.

Results:
Shopping for kids’ furniture comes with a lot of “Is this the right one?” moments. Parents want something safe, sturdy, and sized correctly for their child’s age. With so many options, it’s easy to feel unsure about what will actually work in their space.
How Shopping Assistant helps:
Shopping Assistant guides parents toward the best fit right away. It asks about their child’s age, room layout, and safety considerations, then recommends the most appropriate bed or furniture setup. The experience feels like chatting with a knowledgeable salesperson who understands what families actually need as kids grow.

Results:
Even something as simple as choosing a toothbrush can feel complicated when multiple models come with different speeds, materials, and features. Shoppers want to understand what matters so they can pick the one that fits their routine and budget.
How Shopping Assistant helps:
Choosing between toothbrush models shouldn’t feel like decoding tech specs. When shoppers can see the key differences in plain language, including what’s unique, how each model works, and who it’s best for, they can make a decision with ease.
Suddenly, the whole process feels simple instead of overwhelming.

Results:
Across all 11 brands, one theme is clear. When shoppers get the guidance they need at the right moment, they convert more confidently and often spend more.
Here’s what stands out:
What this means for you:
Look closely at your most common pre-purchase questions. Anywhere shoppers hesitate from fit, shade, technical specs, styling, bundles is a place where Shopping Assistant can step in, boost confidence, and unlock more sales.
If you notice the same patterns in your own store, such as shoppers hesitating over sizing, shade matching, product comparisons, or technical details, guided shopping can make an immediate impact. These moments are often your biggest opportunities to increase revenue and improve the buying experience.
Many of the brands in this post started by identifying their most common pre-purchase questions and letting AI handle them at scale. You can do the same.
If you want to boost conversions, lift AOV, and create a smoother path to purchase, now is a great time to explore guided shopping for your team.
Book a demo or activate Shopping Assistant to get started.
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Since ChatGPT was introduced in November 2022, customer service automation has stormed its way into almost every industry, including ecommerce. This leap in technology has paved the way for companies to increase their support efficiency dramatically, as demonstrated by the buy-now-pay-later service Klarna, which recently resolved two-thirds of customer service chats with AI.
The business gains arising from automation are evident. Faster and smarter tools mean less time handling mundane tasks and more time improving the customer journey with meaningful conversations, personalized experiences, and seamless upselling opportunities.
At Gorgias, our mission is to elevate customer experiences with automated solutions. To determine the impact, we analyzed data from over 14,000 merchants who use automation compared to those who do not.
Our data revealed a 36% increase in repeat purchases, a 37% reduction in first response time, a 52% reduction in resolution time, a 27% decrease in the ticket-to-order ratio, and a 1% increase in CSAT when automation is used.
These compelling results assert our belief in automation as the next, inevitable step for scaling support teams.
“AI is going to help us transform ourselves into deeper thinkers by taking over simple, standardized functions” —Ron Shah, CEO and Co-founder at Obvi
Before automation, customer service teams scrambled to hire more agents as their customer bases grew. When Black Friday and other peak seasons arrived, hiring more agents was the Band-Aid fix. Today, companies are opting for leaner support teams as automation allows them to do more with less. The benefit? Teams can scale and improve the quality of service without temporarily bringing on new staff.
Automation works like a junior support agent but at a higher efficiency. It can handle frequently asked questions like where is my order? and customize responses according to brand voice. So, as repetitive tasks are handled in the background, agents can focus on more complex tickets, such as product-specific questions or technical issues that require troubleshooting.
“Before, agents had to handle it all. Now, they rarely take a ticket about frequently asked questions. They’re only handling escalations, special product-related questions, and things like that.” —Caela Castillo, Director of Customer Experience, Jaxxon
The flexibility of automation makes it the ideal tool for personalized customer service. Aside from being a keyboard shortcut or macro, automation can be a hands-off assistant that can engage customers and influence as much as 25% of revenue.
At Gorgias, automation is at the core of our products, powering almost every feature in Helpdesk, Automate, and Convert. It allows merchants to deliver delightful and personalized customer interactions across various channels and touchpoints in the customer journey.
While automation is only one of many factors, we’ve found it to positively impact support performance metrics. Based on our data, merchants who used automation saw clear improvements in repeat purchase rates, response times, resolution times, tickets per order, and CSAT scores.
Retaining customer loyalty is challenging even when brands launch loyalty programs, as customers are discouraged by the effort required to receive rewards. However, Gorgias data shows that simply using automation can increase repeat purchase rates. Within 28 days, merchants who automated up to 20% of tickets increased their repeat purchase rate by 8 points.
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Yoga apparel brand Manduka used Gorgias Convert's on-site campaigns to influence customers to purchase multiple products. The campaign convinced shoppers to hit a $100 order total for free shipping by recommending small additional items they may be interested in. Their campaign brought in nearly $12,000, proving that automation can directly affect revenue.
“We want to be able to target our repeat customers who have purchased a lot, and say, ‘Welcome back! Here's a new product that would go wonderfully with the item you bought last time.’ It would be a wonderful translation of the in-person retail experience where staff know what you like, so they can assist you better.” —Jessica Botello, Customer Service Manager at Manduka
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Automated responses resolve tickets in zero seconds and result in faster first response times. On average, merchants using automation respond 37% faster than ones who don’t automate customer service.
Responding to customers as quickly as possible is especially important during busy seasons like Black Friday and Cyber Monday so that revenue-generating questions don’t get pushed to the backlog. The customer experience team at health supplement brand Obvi was able to drive 3x more purchases from support conversations compared to previous years.
Faster response times also mean agents are able to make stronger connections with customers. For Obvi’s CX team, it translated to more time to engage with their vibrant Facebook community:
“Instantly, our CX team had time to prioritize important matters, like being active in our community of 75,000 women instead of sitting answering emails.” —Ron Shah, CEO and Co-founder at Obvi
When customer tickets are automated, resolution times improve dramatically. Merchants using automation resolved tickets 52% faster than those without.
Automation is especially helpful in answering pre-sales questions. High-end luggage retailer July deflected 450 tickets a month immediately after activating Quick Responses, one-click FAQs that live in Chat. Their Head of Operations and CX, Alex Naoumidis, notes that setup was “so easy, with a huge payoff.”
This significant efficiency gain ensures customers are well-educated about their products, leaving agents time to personalize the rest of the customer journey.
As automated responses provide quick solutions to customer issues, customers need to contact support less. Based on our data, brands that automate 10% or more of their tickets see a decrease in billable tickets per order. Brands with little to no automation do not see a significant improvement in the ticket-to-order ratio.
For apparel brand Shinesty, automating more than 10% of tickets greatly decreased the number of tickets per order by 27%. Self-serve tools like interactive conversations called Flows and Article Recommendations enabled customers to solve issues relating to discounts, subscription policies, and returns on their own.
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“Automate would be useful for any ecommerce company that needs to lower their ticket counts, or wants to provide a more consistent experience.” —Molly Kerrigan, Senior Director of Retention at Shinesty
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Thirty days after setting up automation in Gorgias, brands enjoyed a 1% increase in CSAT score, a 4.51 score compared to 4.46 for non-automating brands. Even though satisfaction only nudged an inch, the positive effects reached support teams, improving agent morale and team alignment.
Molly Kerrigan, Senior Director of Retention at Shinesty, emphasizes the importance of preserving quality customer interactions during growth, "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."
Since Gorgias provides in-depth conversation analytics, CX teams are finally able to see their impact.
“Tracking customer satisfaction scores in Gorgias is a really big help to us. Before, we didn't know if we were doing well or not, but now we can see people like the service we provide. We use the KPI tracking data for internal monthly meetings to review performance and see where we can improve,” says Deja Jefferson, Customer Experience Manager at Topicals.
Clearly, balancing automation with personalization significantly improves the customer journey. Given that customers with positive customer experiences are 2.7 times more likely to do repeat business, the value of automation is unmistakable.
AI progress has advanced in a short amount of time. But to remind you, this is only the beginning of what automation and AI can do in customer service. We envision AI as a constant work in progress, meant to intake information until it is capable enough to handle more complex tasks. This means agents will spend more time building strong customer connections and finding ways the business can grow.
Gorgias is at the forefront of this evolution, developing automation and AI-driven solutions like an AI-generated Help Center, an AI Agent, a generative AI assistant that autonomously answers customer questions, and an Interaction Quality Score to measure and report on AI-customer interactions. Gorgias aims to transform how support teams and customers interact with AI, paving the way for more impactful customer experiences on a human scale.
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TL;DR:
The Help Center is more than a database to make the lives of your agents and customers easier. It's also an ingenious way of creating brand awareness. By enhancing your Help Center's visibility, you carve new pathways for shoppers to discover your brand while solidifying your brand's reliability with loyal followers.
This guide delves into practical methods for increasing your article views and turning your Help Center into a dynamic hub with Gorgias. We’ll look at the basics of a Help Center, how to structure it based on statistics and SEO, and how to share it across multiple channels.
A Help Center is a knowledge database of articles addressing common questions about your products, services, and brand. It empowers customers to find solutions on their own without needing to contact your customer service team.
A Help Center can include how-to articles, policies, answers to frequently asked questions, and more. Each article can also be supplemented with images, GIFs, and videos to better guide customers toward solutions.

Boosting your Help Center's visibility involves two key elements: understanding customer concerns to create relevant content and using SEO to increase article views.
Focusing on your customers' specific needs and questions allows you to provide articles that directly address their concerns.
Let’s delve into the two strategies you can use with Gorgias.
The first step to creating Help Center articles is understanding your customers’ problems. Identifying their concerns ensures your content aligns with what questions need clarification.
Here are five ways to uncover customer concerns with Gorgias Statistics:
Tags are labels for categorizing tickets by topic or customer intent. Regularly reviewing tags helps identify common customer inquiries. Generally, the more a tag is used, the greater the need for clarity on that topic.
On Gorgias, navigate to Statistics -> Ticket Insights -> Tags to see tag usage frequency. This view gives you an overview of popular tags. You can also adjust the view by filtering by app integration, channel, and date range.
💡 Pro Tip: The most frequently used tags can help inform what articles you should include in your Help Center. Based on the screenshot below, it would be smart to create articles about FAQs and a Price Match policy.

Intent Statistics provide valuable insights into why customers contact support. By analyzing these statistics, you can understand the primary reasons behind customer queries.
On Gorgias, go to Statistics -> Ticket Insights -> Intents to review the usage frequency of different customer intents.
This feature provides a clear bar graph view of customer concerns that are frequently mentioned in messages. You can also change the view using filters such as channel and date range.

Another way to learn about your customers’ concerns is by looking at contact reasons. On Gorgias, Contact Reason is an AI-powered feature that identifies a ticket's contact reason from its message content. Reasons could range from cancellations and refunds to shipment issues and feedback.
The Contact Reason is conveniently located at the top of each ticket, as shown in the image below.

While positive CSAT scores are gratifying, it's the negative feedback that truly helps improve your customer support.
To view Satisfaction scores on Gorgias, navigate to Statistics -> Support Performance -> Satisfaction. This section provides details on surveys sent, response rates, average ratings, and response distribution over three months.
💡 Pro Tip: For deeper insights into CSAT scores, filter for scores of 3 stars or below. Analyzing lower ratings and their accompanying comments will help you pinpoint the exact topics your Help Center articles should address.


Checking the performance of your articles can be the key to adding relevant articles to your Help Center while avoiding unnecessary topics.
On Gorgias, you can find individual article performance by going to Statistics -> Help Center -> Performance by articles. Articles are sorted from most viewed to least.
Here’s how to use article performance data to write relevant articles:
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SEO (Search Engine Optimization) isn't solely for your primary webpages. It's equally crucial for Help Center articles. Using SEO tactics in Help Center articles boosts their online visibility, but most importantly, they allow you to turn visitors into customers.
Here are some effective SEO strategies to apply:
Using relevant and related keywords in an article can boost search visibility. Customers won’t always use the same search query, so anticipating their word usage will help capture all types of customers looking for your content.
On Gorgias, you can find out what keywords customers are searching for under Statistics -> Help Center -> Help Center searches.

Here’s how to leverage search result data:
💡 Pro Tip: Don’t forget to incorporate relevant keywords into your article titles, subheadings, and excerpts. There are two benefits to this: they make it easier for customers to quickly scan your content and enhance your brand's discoverability in search engines.

Again, data plays a crucial role in making your support and Help Center the ultimate resources. On Gorgias, the "Performance by articles" section allows you to track how well each article performs. Articles are sorted by view count, ratings, and the dates they were last updated.

Here’s how you can leverage the following types of articles:
Internal links are hyperlinks that point to other articles in your Help Center, creating a network of related content. This tactic helps to proactively address questions customers might not have considered, effectively reducing the load on your support team.
To effectively increase the visibility of your Help Center articles, consider leveraging a variety of communication channels:
Remember, a well-optimized Help Center is a powerful tool in building brand awareness and customer loyalty.
Do more with an AI-powered Help Center with the power of Gorgias Automate. Discover how our advanced tools can streamline your support processes and improve customer satisfaction. Book a demo today.
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TL;DR:
At Gorgias, we're avid believers in transparency. You'll find us documenting processes diligently, asking for feedback frequently, and addressing concerns openly. This may be surprising and even unconventional to most, but after witnessing its long-term benefits on employee satisfaction and engagement, our team is set on continuing the practice.
As a natural next step in our commitment to openness, we decided to make our People Resources available to everyone. These resources include documents and processes that outline how we operate at Gorgias, including how we approach the compensation process, performance reviews, and more.
We invite you to delve into our resources, whether you’re a founder or a job seeker.
Our decision to share our People Resources is driven by a vision that sets new standards for transparency in evolving corporate practices.
By opening up our resources to the public, Gorgias positions itself as an innovator and thought leader in the industry. Allowing our processes to be read and critiqued by others outside of the company gives way to perspectives we may not have considered.
We view our People Resources as living documents and as we drive discussions about transparent work culture, the opinions and critiques of others will be a constant source of value for us to continue improving our processes.
For other organizations, accessing Gorgias' People Resources serves as a blueprint for building a positive and engaging workplace. By publicizing our processes, we hope to guide companies to create safer and more honest work environments, which in turn will improve employee satisfaction globally.
Our People Resources encompass a wide range of materials, including documents, processes, and additional resources. Here's what you'll find:
Read more: Why we don't increase salaries each year based on performance
Our People Resources are designed with a wide audience in mind, ensuring that anyone interested in building a positive team environment can find value. Here's who can benefit:
You can find our public People Resources on Notion.
If you're inspired by what you see and want to join our growing team, we invite you to check out our current job openings.
We look forward to welcoming you to Gorgias, where we will continue building a transparent and innovative workplace.

TL;DR:
While there’s a common concern that automation might alienate customers with responses that miss the mark, it turns out that 73% of customers have higher expectations for personalized experiences when advanced tech is involved.
Not only do customers expect automation and AI in customer service, but they also believe that brands should make the most out of them.
Luckily, helpdesk tools like Gorgias have found the right balance between automation, personalization, and human touch. The only thing left for CX agents to do is to use automation strategically.
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Automation and AI are distinct, just like live chat versus chatbots. AI, such as ChatGPT, evolves in real-time from interacting with and learning from input data, while automation follows set rules for routine tasks without understanding natural language.
Automation is highly customizable — it won’t spew out an inappropriate sentence unless you tell it to. If you’re still hesitant about automating your support, here are four automation myths debunked below.
The tone and style of your automated messages are entirely within your control, thanks to the customizable nature of automation. This flexibility ensures that your brand's unique voice shines through, allowing for a tailored approach that aligns with your ecommerce strategy.
If we’re talking about AI, we’ve also come a long way from generic chatbot responses. In fact, a 2019 Stanford University report found that AI computational power doubled every 3.4 months. The result? Humans are only correct 60% of the time when guessing if they’re talking to AI or a real person.
In reality, automation is highly adaptable and can incorporate customer data, brand voice, and plenty of dynamic variables to create powerful communications for personalized customer service.
Learn more: How Manduka used personalized, on-site campaigns and earned $70k
While automation enhances efficiency, it works best in tandem with human insight rather than as a complete replacement for human agents. Customer service thrives when there is a route back to human support.
Yes, customers appreciate the ease of connecting to a fellow human, but they also value speed — something automation excels at compared to humans.
Learn more: How Luksusbaby boosted 66% first response time with 45% automation
A customer-centric helpdesk trained on AI is the most effective way to have rapid and authentic customer interactions. A tool like Gorgias enables you to scale your customer service operations by connecting your ecommerce store. Gorgias learns customer conversations and data and automates simple processes like responding to repetitive tickets and refunding orders.
To effectively implement customer service automation, always remember to add a human touch to make customers feel comfortable. More importantly, not all customer interactions are suitable for automated responses so automate strategically.
Here are five ways to implement personalized automation with Gorgias, from automating responses to using website chat and creating a help center.
Skip the mental work of reading a frequently asked question and thinking of a response. Auto-responses will do both for you in the background while you complete other high-priority tasks.
How to implement:
Note: Manually follow up on complaints or technical issues. Using auto-responses on these sensitive issues may escalate them and cause more customer frustration.

AI is excellent at answering simple inquiries, but sometimes customers will ask questions that need a human’s problem-solving skills. Include a route to a live agent to address this. Allowing AI and agents to work in tandem is an effective way to improve customer satisfaction.
How to implement:
Note: Don’t trick customers into thinking they’re speaking to an agent when they’re speaking to AI. Customers are more likely to trust you when you set clear expectations from the start.

Make personalization a part of the customer journey to create friendly experiences on a large scale. Without tailored communications, you’ll likely frustrate 76% of your customers due to irrelevant recommendations and marketing campaigns.
How to implement:

According to a survey of 3,000 consumers, 56% would repurchase from a retailer that provides personalization. For this reason, create an automated action, also known as a rule, that labels tickets from VIP customers. Prioritizing VIP needs will allow your team to strengthen loyalty and drive repeat purchases.
How to implement:

The responsiveness of AI depends on the knowledge you feed it. To accelerate automation’s efficiency, provide it with resources from your knowledge base or help center. In 2020, organizations reported a reduction of up to 70% in call, chat, and email inquiries after implementing a chatbot or virtual customer assistant.
How to implement:

Read more: 9 types of customer self-service
Setting up automation without the right tools can detract from personalization efforts. Gorgias Automate remedies this by equipping CX teams with features like Autoresponders, self-service Order Management, Quick Responses in Chat, and Article Recommendations. Elevate customer experiences and grow your customer relationships by booking a demo with Gorgias today.
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Last September, Gorgias hosted CX-All Star: Episode 1, a webinar presented by a superstar panel of customer experience leaders in the DTC industry. From the health and wellness space to the tech sphere, experts Eli Weiss, Amanda Kwasniewicz, Deja Jefferson, and Ren Fuller-Wasserman gathered years of experience and wasted no time sharing their top strategies, tips, and a-ha moments with fellow attendees.
One hour wasn't long enough to reveal all their expert tricks, but it was definitely enough to help fellow CXers rethink their strategy. If you weren't able to attend the event, these were the top four lessons we learned from CX All-Star: Episode 1.
Amanda Kwasniewicz, the VP of Customer Experience at Love Wellness, emphasizes how CX should be the core of any business. "[CX] has a finger on the pulse of everything we do, whether we're just on the receiving end or whether we're executing it."
To emphasize CX's far-reaching impact, Amanda introduced a company-wide policy where every new employee spends six weeks working directly with support tickets and customers. This immersive approach to CX was so successful that non-CX team members, from marketing to finance, were able to help the CX team during a hectic inbox day when Love Wellness migrated platforms.
Read more: Why customer service is important, according to a VP of CX
"I think CX is often viewed as a call center, a revenue driver—and we're missing the core part that it's a feedback machine. It's like a feedback treasure trove. So, if you can think about it as all three of those things, that's what it is. It really is about the experience."
—Amanda Kwasniewicz, VP of Customer Experience at Love Wellness
"Brands are either notoriously anti-having a big CX team, or they're very straightforward. Either one of those extremes is dangerous," says Eli Weiss, VP of Retention Advocacy at Yotpo. The balance lies in building a team of passionate learners willing to grow.
Our experts agree that product knowledge can be taught through training, but soft skills like empathy, creativity, and passion are intrinsic. Eli notes that asking questions like "Why CX?" helps determine if a candidate will stick around. Amanda notes these team members often become superstar hires for other departments because of the breadth of their knowledge and skills.
Related: Hiring for customer service
“[LinkedIn] is how I've gotten a lot of people early on. I just looked at brands that crush it and said, 'Stay exactly where you are. I just need 2 hours.' Those 2 hours will usually give you what you as a founder can do in six, because somebody that's doing it all day is probably really good at figuring out how to put a move on it.”
—Eli Weiss, VP of Retention Advocacy at Yotpo
"If people can understand and learn the product they're selling and they can educate the customer, I think that's really valuable," says Deja Jefferson, Manager of Customer Insights at skincare brand Topicals. That's why she takes a diverse approach to product knowledge onboarding.
At Topicals, new hires don't only have to pore over lengthy documents to learn about skincare products. They get their hands dirty by speaking to experts in the product team, reading cheat sheets, and talking to customers about personal skin concerns. This multifaceted strategy is inclusive to all types of learners and leads to agents becoming true experts.
Read more: Customer service training: what to cover + how to do it
"People who are passionate about what they're doing and about helping customers [will] figure out the rest."
—Deja Jefferson, Customer Insights Manager at Topicals
Ren Fuller-Wasserman, Head of Customer Experience at bidet brand TUSHY, empowers her team to go above standard protocols to create memorable or, as her team calls it, mensch (Yiddish for a person of integrity) moments. These are exceptional CX moments that can't be found in the onboarding manual, things like sending handwritten notes, personalized texts, and replacing items without question.
However, as with all things, it's also valuable to understand that mistakes happen. Ren likens the trial-and-error nature of customer experience to building a plane as it's being flown — it won't be perfect. She notes that protocols are important guidelines, but it's also worthwhile to allow your team to be mensch and decide, where do I need to follow the protocols here?
"There are incredible opportunities to make moments that matter, but only if your team has the agency to do so."
—Ren Fuller-Wasserman, Head of Customer Experience at TUSHY
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Imagine leaving your angriest customers to spar with an automated script in your website’s chat window. Now picture your support team reading “Where is my order?” for the hundredth time and glancing at the clock, only to find six hours left in the workday.
Who do you think is more frustrated?
Luckily, you won’t have to answer that, because these are completely avoidable problems. Once you learn the important distinctions between chatbot software and live chat software, you’ll understand how to use them both more effectively and lower blood pressures across the board.
Chatbots rely completely on automation and artificial intelligence (AI) while live chat software connects customers with human agents via a real-time chatbox. A third option, self-service chat, is an appealing alternative.
To determine which solution(s) is best for your business, let’s compare chatbots and live chat software and go through the top use cases for each.
Live chat support connects customers with human support agents who can answer their questions and assist them with any issues. When a customer opens the chat box on a live chat support solution, they are connected with a real person from the company's customer support department.
Support agents then use live chat messaging to address customer inquiries and walk customers through the solution to their problem.
Interested in getting live chat software? Check out one of these lists for tailored recommendations:
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Unlike live chat software, chatbot software doesn’t connect customers with human agents. Instead, chatbot software connects customers with a chatbot that utilizes AI and machine learning to provide natural language answers to common questions.
Automation assists customers with less complex issues and provides quick answers. Chatbot technology enables companies to reduce their average response time, and frees up support agents to focus on more complex queries.
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When comparing chatbots with live chat solutions, it's important to recognize that each category offers its own unique advantages. Many companies choose to employ both live chat and chatbot apps on their ecommerce websites.
With that in mind, let's explore the strengths of each solution.
One of the biggest advantages of chatbot solutions is the fact that they allow for immediate responses to customer inquiries. Live chat solutions can also help companies reduce their wait times, though not to the same degree.
According to data from HubSpot, 90% of customers rate an "immediate" response as important or very important when contacting customer service, with 60% of customers defining "immediate" as 10 minutes or less.
With a chatbot app, offering immediate response times to customer queries is a much more attainable goal. Best of all, these immediate response times are a 24/7 offering for customers, whereas live chat agents may not always be on the clock.
The problem with relying solely on chatbots to reduce customer wait times is the fact that even the best and most intelligent chatbots are often unable to resolve complex issues. Chatbots are excellent at pulling information from internal databases to answer common questions, such as providing the status of a customer's order or editing it.
But for uncommon questions or complex issues, a chatbot alone may not be sufficient. Because they can only handle one thing at a time, it can take forever before you get all of your questions resolved.
Many companies use chatbots alongside live chat support. This allows businesses to offer both immediate responses, as well as more in-depth support for complex issues.
For example, a customer may first be connected with a chatbot that provides instant responses to their query and assists with gathering initial information. If the chatbot determines the customer's question or issue is too complex to resolve, the customer is then connected to a support agent via live chat.
This combination is an ideal solution for many companies, allowing them to quickly resolve common issues without the need for a live chat agent. At the same time, customers have the option to speak with a real person in cases where assistance from a chatbot alone isn’t sufficient.
While chatbot apps can help reduce customer service wait times and the number of customer service reps needed, many customers prefer speaking with a person.
A CGS study found that 86% of customers would rather interact with a human agent than a chatbot. Further, 71% of customers say that they would be less likely to purchase from a brand that did not have real customer service representatives available.
Chatbots have come a long way toward replicating natural language and determining customer intent for better customer engagement. Today, the best chatbot applications can come quite close to sounding like actual human beings.
Chatbots leverage AI and machine learning to deliver personalized responses, as opposed to only “canned” responses, and can better serve your customers.
Even the most advanced chatbots still fall short of a live representative when it comes to delivering a personalized, human touch. They’re also lacking when it comes to handling more complex questions or customer issues.
Once again, a combination of automation and live chat support is typically the best approach.

Chatbots and live chat applications have unique advantages when it comes to delivering consistent and accurate responses to customer queries.
Chatbots are excellent at delivering consistent, on-brand messaging. They can be programmed to systematically follow templates or scripts to provide a consistent customer service experience.
When working with human customer support agents, this high degree of consistency can be a little more difficult to achieve.
While live chat support may not offer the same consistency as chatbots, human support agents do tend to be more accurate when determining the intent of the customer they are assisting.
For example, a simple spelling error can sometimes confuse chatbots, whereas a human customer support agent would be much more likely to look past the error and correctly figure out what the customer needs.
A human agent is also much more likely than a chatbot to accurately interpret questions that are worded strangely.
For companies that are choosing between chatbots and live chat support, it’s a question of whether they’d like to prioritize consistency or accuracy. This is yet another reason why a combination of chatbots and live chat support is often the best solution.
More chat features to provide self-service support without the bots
Many of the issues your website visitors have with bad chatbots involve their mimicry of support from real people. It’s easy to tell when you’re chatting with a robot, but it’s not always made clear to you by the chat widget.
But there’s a third chat option that you should consider in addition to live chat and chatbot software.
Self-service chat options make it clear to your customers that they are receiving automated help. By presenting menus instead of imitating a human conversation, self-service customer support empowers customers to find the answers they need on their own.
It’s a win-win, because the customers get the answers they need in real time, at any hour. And your team can focus on support tickets that are more important to the business.
Here are a few ways self-service chat options can work.
Up to 30% of incoming customer service tickets are shipping status requests. With self-service order management in the chat widget, customers are empowered to make these queries on their own — providing fast answers and reducing your support tickets.
These automated options are easy to add with Gorgias. This self-service adds buttons to the chat widget to automatically:
Quick service with chat automation provides quick, responsive customer service, which means better customer experience and a positive impact on revenue.
Barcelona-based shoe brand ALOHAS added self-service order management flows with Gorgias after experiencing a high chat volume. This allowed customers to find information on their own without a human needing to respond.
Here’s how a “track order” request looks in action:

When using a chat widget, you’ll notice the same questions come up again and again. You can satisfy those FAQs by adding quick answer flows into the chat widget.
These automations can be set up in the widget for questions like:
These automations can be customized for whatever FAQs are most relevant to your ecommerce store.
Here’s how it looks, for example, when an ALOHAS customer wants to find out more about the brand’s shipping policy.

Luxury jewelry brand Jaxxon has used these self-service quick responses with great success. The customer service team found themselves overwhelmed with customer questions and unable to respond as quickly as desired.
Jaxxon upgraded their live chat widget with Gorgias Automate with Quick Responses for customers. The result, combined with using Gorgias’ helpdesk, reduced live chat volume by 17% and lifted the on-site conversion rate by 6%.

Even when a customer chooses to type out a question, automation can be used to provide quick, customized service through the chat widget.
Gorgias can detect questions that come in through chat and provide automatic answers using Rules and Macros.
Here’s how the flow works:
The best part is this can not only be used for chat, but for responses to tickets coming in through other communication channels like email, social media, and SMS.
With Gorgias, you can make sure your chat widget isn’t missing a single ticket, even if your customer support team is offline.
First, you can set up your business hours to correspond with when you have live chat available. This will show up on your site’s chat widget by either showing the current status as online or offline.
From there, you can create automated responses for whether you’re offline or online. During business hours, this message can tell customers you’ve received their request and give a time by which they can expect a response.
After business hours, the responder can tell customers that although you’re offline, they can expect a response during the next day’s business hours via email.

You can also use a contact form which turns a chat into an emailed ticket. This is great to use after-hours and to make sure chat requests don’t get lost overnight.
The use of automation within customer service is multifaceted. As we discussed earlier, a human touch is critical for many customers, and speaking with an automated chatbot can be a turn-off. However, automation certainly has its place in the customer service process.
On the customer’s side, starting with self-service chat helps them receive quicker customer support at scale — a more satisfying experience. On your team’s side, automation allows for sorting, segmenting, and prioritizing tickets.
When self-service chat can’t solve an issue, someone from your support team can easily step into the conversation. You can use Macros — scripts that automatically bring in the customer’s information — to scale the human touch on your support team.
So in reality, it’s not automation vs human support. These are two complementary tools that work better together. And the result is a stronger and faster customer experience for your website visitors, which can increase your conversion rate by as much as 12%.
Still not convinced? In 2021, brands using the Gorgias chat widget generated an average of $38,702 from conversations involving chat. We have a whole post on live chat statistics that can help illustrate the impact our chat widget can have on your business.
If you’re an ecommerce business looking for an all-in-one customer support solution that includes live chat support and AI-powered chatbots, Gorgias is your one-stop shop.
Our algorithms are trained on hundreds of millions of ecommerce tickets, so you can be sure your customers are getting the right responses every time.
Plus, you can manage both live chat and chatbot conversations in the same dashboard that you use for all your other channels, including phone, email and major social media platforms. Bring in chat from other channels, including Facebook Messenger. We’ll even be supporting Whatsapp in early 2023.
Our customer support platform is available for Magento, Shopify, and BigCommerce users.
Read more about our chat offerings by clicking here.

TL;DR:
You know what customers love? When their problems are solved on the first try.
Being able to resolve issues right away is a clear sign that your support team is on the right track to provide great customer experiences.
To maintain that level of excellence and efficiency, you’ll need to understand first contact resolution (FCR) rate.
In this article, we’ll deep dive into first contact resolution rate. You’ll learn how to calculate and monitor FCR, how to increase your FCR for better customer experiences, and look at what other metrics to monitor alongside FCR.
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First contact resolution rate is a metric that measures the percentage of customer support tickets that your agents resolve on the first interaction.
Generally, this measurement is used in call centers, but it’s also considered one of the most essential customer support metrics in ecommerce.
Like a lot of customer support metrics, FCR also goes by a few names, like:
Whichever name you prefer, the goal of the measurement is the same: understand how efficient your team is at resolving customer issues.
Time-consuming interactions erode trust over time and drive customers to shop with the competition.
According to The Effortless Experience, 96% of shoppers with a high-effort experience feel disloyal to brands afterward.
By aiming to solve customer issues from the very first interaction, you can combat the escalation of poor customer experiences and use positive interactions to improve loyalty and satisfaction, gain repeat customers, and boost revenue to meet your bottom line.
Let’s walk through the formula to figure out your FCR and look at an example. Then, we’ll unpack some challenges behind the FCR metric to make it as useful for your support agents as possible.

The formula to calculate first contact resolution rate is:
(Number of support tickets resolved on first contact / total number of resolved support tickets) x 100 = FCR rate %
The goal is to have an FCR percentage that’s as close to 100% as possible. A higher FCR indicates how successful you are at solving tickets at the first interaction without follow-up questions from customers.
Here’s what calculating FCR looks like using real numbers:
(15,000 tickets solved on first contact / 20,000 total resolved tickets) x 100 = 75% FCR
That means, on average, your team can solve 75% of support tickets on the first try.
First contact resolution is a fantastic starting point to improve your support team’s resolution time. But, like most customer support metrics, FCR has some limitations.
Simply knowing your first contact resolution rate doesn’t give you the whole story.
A low FCR means you aren’t solving most problems on the first try but it doesn’t explain the root causes.
You’ll need to track other metrics that look into customer interactions more qualitatively, like customer satisfaction (CSAT).
Second, a high FCR isn’t an automatic indicator of a successful support strategy. The challenge lies in accurately categorizing tickets resolved in one interaction. This process can be complicated by instances where automated responses may be quick but unhelpful.
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Here are four tactics you can use now to improve FCR performance and your customer experiences.
Your agents are your front line, and it’s important they’re armed with customer service scripts to resolve common issues efficiently. Scripts are pre-written responses that agents can use to avoid typing the same answers over and over again.
At Gorgias, we call scripts Macros. Gorgias allows you to personalize each Macro with customer information pulled from your integrated ecommerce platforms like Shopify and WooCommerce.
Deja Jefferson, CX and Consumer Insights Manager at skincare brand Topicals uses Macros “to help maintain brand voice while handling a high volume of customer service tickets.” As a result of this automation tactic, her team influenced 72% more revenue.
💡 Pro Tip: Exceptional customer experience depends on a robust customer service training program. Keep agent knowledge fresh with a knowledge base or Help Center of scripts. This way, agents can continuously upskill or grab information whenever they need it.
At Gorgias, we’ve found that automation increases both FCR and sales.
An automation tool like Gorgias Automate can help resolve up to 30% of incoming tickets. With features like Quick Responses and Article Recommendations, customers can get answers to their questions without waiting to speak to an agent.

For example, luxury shoe and garment care retailer Kirby Allison used Gorgias Automate to deflect 30% of incoming tickets and boosted revenue from support by 46%.

Chances are, a bulk of your tickets can be answered by customers themselves. In fact, 88% of U.S. customers expect a customer self-service portal according to a 2022 Statista survey.
On Gorgias, we solve this issue by giving merchants the ability to create a Help Center.
A Help Center is an article database that includes information commonly sought by shoppers, like product information, policies (like shipping, returns, or order cancellations), and billing and payment information.

Below, Loop Earplugs makes the customer experience seamless by linking to their FAQs in the top navigation bar of their website.

Resolving your low-priority tickets quickly is a surefire way to improve your FCR. It would be a full-time job if you had to manually prioritize and categorize your tickets.
With a helpdesk like Gorgias, you can automatically categorize incoming tickets into low-, medium-, and high-priority based on customizable parameters called Rules. Better yet, Gorgias can take care of routing high-priority tickets to your most experienced agents to maintain customer retention.

For example, snack brand Chomps created a Rule that tagged customer tickets with an “Urgent” tag if their message included phrases like “cancel order,” “wrong,” or “update my address.”

To give deeper context to your customers’ shopping experiences, it’s important to use FCR alongside other customer success metrics and KPIs.
Let’s look at how FCR works with key customer support metrics, like Customer Contact Rate, Average Response Time, Average Resolution Time, and Unresolved Ticket Rate.
Customer contact rate (CCR) looks at the percentage of customers who ask for help over a given time. It's an important metric that gives you a snapshot of your company's overall health.
Calculating CCR in combination with FCR will help you see how many people need support versus how effective your team is at deflecting lower-priority tickets.
Average response time (AVT) or average reply time measures how long your support team takes to respond to a customer message.
90% of shoppers agree that an immediate response is important when they have a support request, so it’s crucial that you have as low an AVT as possible.
The longer your response time, the longer it’ll take to get to a resolution. That’s why it’s useful to calculate AVT with FCR together. It’ll help show you the time it takes for an agent to respond, getting you even closer to a lightning-fast solution.
Average resolution time (ART) is similar to FCR in that it looks at your support team’s ability to resolve customer issues.
The difference with ART is that the metric looks at your team’s average ability to resolve issues, not just the first time.
A benefit of calculating ART is that you can understand how efficiently your team resolves higher-priority issues, like complicated returns, customer retention rates, or problems with loyal shoppers.
Unresolved ticket rate (UTR) lets you track and measure abandoned conversations and tickets that could not be solved.
It’s critical to calculate UTR because unresolved tickets are a key indicator of unhappy customers — and unhappy customers can negatively impact your bottom line.
Calculating UTR can help you find gaps in your support strategy by locating tickets where a resolution is difficult and working to build a resolution for similar problems in the future.
If you’re stuck manually calculating first contact resolution, you’ll never have time to improve your strategy.
That’s where Gorgias comes in. Gorgias Helpdesk automatically tracks and measures data like FCR so that you can focus on optimizing your strategy to provide a more positive customer experience.
Sign up for Gorgias or book a demo to track and improve your first contact resolution rate today!

TL;DR:
This year, we witnessed customer service teams from 16,140 brands support over 77 million shoppers and millions of tickets with Gorgias.
As we turn to a new chapter, we want to spotlight how six of the top-performing industries delivered customer service in 2023.
From food to fashion, we’ll see how quickly agents answered questions, then discover what customers were asking, and learn from experts about what customer experience trends to expect in the new year.
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Step into the ecommerce world, where you’ll find a vibrant population of merchants, each with their own niche and groups of loyal customers. Together, they generated $1.45 billion in revenue in 2023.
Of course, this would not have been possible without the grit of customer service teams and their dedication to customer satisfaction.
Support teams across 20 industries answered customer inquiries within one business day and solved them in two and a half, resulting in very satisfied shoppers. Impressively, 15% of interactions were fully automated and resolved on average.
Here are the average industry support stats:

The most popular ecommerce industries — Apparel and Fashion, Health, Wellness, and Fitness, Cosmetics, Food and Beverage, Consumer Goods, and Luxury Goods and Jewelry — were the top performers.
Using exclusive Gorgias data, we’ll look at how support teams from these industries handled tickets. Then, we’ll gain expert insight into the ecommerce experience in 2023, and how experts predict it will change in the coming year.
Our first stop is the bustling market of Apparel and Fashion. We’re all familiar with how tricky online clothes shopping can be. Most likely due to issues with sizing and style, support teams mainly dealt with inquiries about:
Yet, despite receiving the highest number of customer tickets among the six industries, Apparel and Fashion brands kept customers happy. They responded within one business day and resolved issues within two, with 15% of interactions being resolved with automation.
Here are their stats compared to the overall industry average:

According to Loop, over 50% of their merchants now charge for certain returns, including fees for exchanges and returns for store credit. This change aligns with consumer preferences, as their report shows 70% of shoppers are willing to pay for premium, convenient experiences, a trend already embraced by half of these customers.
The next stop on our tour is the thriving Health, Wellness, and Fitness industry.
Unfortunately, brands in this sector had a challenging year keeping up with unpleasant tickets about:
Perhaps support teams could have automated more than 15% of interactions to handle these repetitive tickets better. But despite their slower-than-average first response time, customers were still pleased with the support experience:

Expert Insights: Amanda Kwasniewicz, the VP of Customer Experience at women’s wellness brand Love Wellness, highlights that personalized customer service has been a key trend of 2023. She’s observed that customers now expect to receive personal recommendations during their shopping journeys.
Now, take a peek at the fast-growing Cosmetics industry, and you’ll see how eager customers were to check out the hype around both small businesses and celebrity brands.
Given the boom of influencer marketing for these highly personal products, customers often inquired about:
To solve these tickets, support teams automated 18% of interactions and attained faster times than average:

Getting hungry? This year, the growing appetite for Food and Beverage in the ecommerce world was unmistakable. Beef jerky or freshly squeezed fruit juice, customers savored their snacks. But it also didn’t stop them from being tough critics.
The main issues raised to Food and Beverage support teams revolved around:
Luckily, they cut down their first response time by automating 15% of interactions — nearly three hours faster than average:
Expert insights: Zoe Kahn, former Manager of CX & Retention at Chomps and now Owner of Inevitable Agency, saw inventory issues as a major challenge of 2023. The complexity of inventory logistics is difficult for consumers to understand, leading to higher outreach from customers wondering when items would be back in stock. "Quieting those concerns is really difficult," Zoe notes. However, after witnessing inventory issues over the last few years, Zoe realized that "it's inevitable that inventory problems will happen because of how challenging the logistics of selling a product are."

There’s a lot to explore in the all-encompassing Consumer Goods industry. You’ll find brands that sell everything from sustainable water bottles and furniture to everything else in between, like dog toys and mystery subscription boxes.
While Consumer Goods brands only automated 14% of interactions, their resolution time was two hours faster than the industry average, resulting in the happiest customers among the six industries:

The top tickets Consumer Goods brands received were about:
Expert Insights: Ren Fuller-Wasserman, the Director of Experience at TUSHY, notes that the impact of the macroeconomic climate was among the top challenges faced in 2023. “As there's talk of recession and inflation, people are really looking for products that provide added value,” she says.
Our partner Okendo, a growth marketing platform that has worked with well-known brands like SKIMS and Rhode, notes that tech stack consolidation has been the top priority in 2023. They saw that merchants who used a multifaceted product with app integrations resulted in a 15x return on investment.
Our final stop is at the small gem of an industry, Luxury Goods and Jewelry. Making sure their pricey wares arrived to customers safely was the top priority. That’s why the top questions support teams received were in regard to:
Out of all the industries, Luxury Goods and Jewelry brands automated the most interactions at 28%, which certainly helped to shorten response and resolution times:

Expert Insights: Caela Castillo, Director of CX at Jaxxon, advises preparing early for BFCM but being flexible to change. She notes, “Sometimes you need a different perspective,” acknowledging that agents are valuable resources to gain customer insights, especially when it comes to planning new customer service strategies.
It’s been a fruitful year of expediting the traditionally slow support process. However, with greater strides made in AI technology, ecommerce has only scratched the surface of providing accelerated service.
We interviewed ecommerce experts who saw the rise and fall of trends in 2023 and are ready to use their learnings to make the new year better.
Here are the top four actions ecommerce companies should take in 2024.
We’re constantly fed an endless stream of new technology, which can be a distraction to business goals. That’s why the CTO of ecommerce agency Novatize, Pierre-Olivier Brassard, highly recommends planning a robust strategy first. Clear business goals will help teams pick the best tools — not the other way around.
Customer service management platform TalentPop saw AI as the top CX trend of 2023. They foresee late adopters using AI next year, while early adopters will focus on optimization. To get ahead of the game, TalentPop recommends that support teams research all AI options since CX will only become more saturated with AI tools.
Brandon Amoroso, Founder & President at Electriq and Co-founder at SCALIS observed similar trends. In 2023, many CX teams implemented more self-service options for customers. Going into 2024, Brandon notes that a “continual integration of AI into the entire customer experience” is likely.
As social shopping gains traction, marketing platform Yotpo predicts customers are going to look for more real-time communication with brands. In fact, HubSpot reports a 45% year-over-year surge in using social media DMs for customer service. Therefore, using tools that enable interactions through DMs or text, like Yotpo SMS, will be a crucial strategy in the upcoming year.
Amanda Kwasniewicz, VP of Customer Experience at Love Wellness, advises CX leaders to ensure their contributions are recognized. Kwasniewicz notes that support teams often know the business better than any other department. "Beat the CX drum loudly. If you're not in the room, find a way in the room," she stresses.


