TL;DR:

• AI is resolving tickets, not just replying. AI now handles 31% of customer interactions for ecommerce brands, and that number is expected to nearly double within two years.
• Every channel is becoming a storefront. Conversations are replacing the traditional browse-and-buy journey, with 79% of brands reporting sales from AI-driven interactions. 
• AI is shortening the buying cycle. 93% of AI-influenced purchases happen within the first 48 hours of the conversation. 
• CX teams are changing, not shrinking. Ecommerce brands are actively hiring for more technical roles to implement, coach, and maintain AI. 
• The winning model is hybrid. AI handles volume and speed, while humans handle complexity and judgment. 

The way shoppers buy online has shifted and customers are at the center. 

They no longer want to scroll through product pages, dig through FAQs, or wait 24 hours for an email reply. They open a conversation, ask a specific question, and expect a useful answer in seconds. Brands that can’t deliver these experiences at scale are seeing customer hesitation turn into abandoned carts and lost revenue. 

This shift has a name: conversational commerce. It's the practice of using real-time, two-way conversations as your primary sales channel, through chat, AI agents, messaging apps, and voice. 

What started as an experiment for early adopters has become a key growth lever, with 84% of ecommerce brands treating conversational commerce as a strategic pillar this year vs. last year. 

We surveyed 400 ecommerce decision-makers across North America, the U.K., and Europe to understand how conversational commerce and AI are reshaping the ecommerce landscape. These findings are complemented by aggregated and anonymized internal Gorgias platform data from 16,000+ ecommerce brands.

The State of Conversational Commerce in 2026 trends report breaks down all of the findings, including five key trends shaping the ecommerce landscape. 

{{lead-magnet-1}}

Trend 1: AI is table stakes for ecommerce and it’s no longer just about efficiency

A few years ago, adding an AI chatbot to your site that could provide tracking links and Help Center article recommendations was a differentiator. Today, it's table stakes. McKinsey found that 71% of shoppers expect personalized experiences, and 76% get frustrated when they don't get them. 

Right now, most ecommerce professionals use AI, with 93% having used it for at least 1 year. Enthusiasm is accelerating quickly, with only 30% of ecommerce professionals rating their excitement for AI at 10/10 in April 2025. Similarly, while AI adoption rose steadily year over year, it reached a clear peak in 2026.

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

• Order tracking and status updates
• Returns, exchanges, and refund requests
• Shipping FAQs and delivery estimates

These are the tickets that flood brands’ inboxes every day. AI agents resolve them instantly, without pulling teams away from conversations that actually require human judgment.

Explore AI adoption and use case data in more depth in the full report. 

Trend 2: Conversations are the new path to checkout

The traditional ecommerce funnel, visit site, browse products, add to cart, check out, is losing ground. Shoppers now discover products on Instagram, ask questions via direct message, and complete purchases without ever visiting a website.

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

The practical implication is that every channel is becoming a storefront. Creating personalized touchpoints with customers earlier in the journey, through proactive engagement, is impacting the bottom line. 

Read the full report to explore how AI conversions have increased QoQ by industry.  

Trend 3: AI is accelerating the purchase cycle

Pre-purchase hesitation is one of the biggest conversion killers in ecommerce. A shopper lands on your product page, has a question about sizing or compatibility, can't find the answer quickly, and leaves. That's a lost sale that had nothing to do with your product.

Conversational AI changes that dynamic. When a shopper can ask a question and get an accurate, personalized answer in real time, the friction disappears. 

Brands using Gorgias saw this play out at scale in 2025. When AI Agent recommended a product, 80% of the resulting purchases happened the same day, and 13% happened the next day. 

Brands are further accelerating the buying cycle through proactive engagement. On-site features such as suggested product questions, recommendations triggered by search results, and “Ask Anything” input bars drove 50% of conversation-driven purchases during BFCM 2025. 

Explore how AI is collapsing the purchase cycle in Trend 3 of the report.

Trend 4: AI is making CX teams more technical 

There's a persistent narrative that AI is making CX teams redundant. The data tells a different story. 62% of ecommerce brands are planning to grow their teams, not cut them. But the scope of those teams is changing.

New roles are emerging around AI configuration and quality assurance. Teams are investing in technical members to write AI Guidance instructions, develop tone-of-voice instructions, and continuously QA results. 

CX teams are also bridging the gap between support goals and revenue goals, as the two functions increasingly overlap.

The result is CX teams that are more technical than they were before. Agents who once spent their days answering repetitive tickets are now spending that time on higher-value work: complex escalations, VIP customer relationships, and improving the AI systems and knowledge bases that handle the volume.

Learn more about the evolution of CX roles in Trend #4. 

Trend 5: The future is hybrid: AI-first, humans when it counts

Despite increasing AI adoption, data shows that ecommerce brands shouldn’t strive for 100% automation. Winning brands are building systems in which AI handles repetitive tier-1 tickets, and humans handle complex, sensitive cases. 

AI handles speed and scale. It resolves order-tracking requests at 2 a.m., processes return-eligibility checks in seconds, and answers the same shipping question for the thousandth time without compromising quality. 

Human agents handle conversations that require context, empathy, or decisions that fall outside the standard playbook. There are several topics where shoppers still prefer human support.

Successful hybrid systems require continuous iteration, meaning reviewing handover topics, Guidance, and reviewing AI tickets on a weekly basis. 

Discover how leading brands are balancing human and AI systems in Trend #5. 

Where conversational commerce is heading by 2030

The 2026 trends are about expansion and standardization. The 2030 predictions are about what comes next.

Voice-based purchasing is the biggest bet on the horizon. Only 7% of brands currently use voice assistants for commerce, but 89% expect it to be standard by 2030. The vision is a customer who can reorder a product, check their subscription status, or manage a return entirely over the phone.

Proactive AI is the other major shift. Rather than waiting for a customer to reach out, AI will anticipate needs based on browsing behavior, purchase history, and where someone is in their relationship with your brand. Think of it as the digital equivalent of a sales associate who remembers what you bought last time and knows what you're likely to need next.

Explore where ecommerce brands are allocating their AI budgets in the full report. 

Start building your conversational commerce strategy today

The brands winning in 2026 are creating smart, scalable systems where AIhandles volume and humans handle nuance. They’re treating every conversational channel as an opportunity to serve and sell.

The data is clear: AI adoption is accelerating, customer expectations are rising, and the revenue impact of getting this right is measurable.

{{lead-magnet-1}}

TL;DR:

• Implement quickly and optimize continuously. Cornbread's rollout was three phases: audit knowledge base, launch, then refine. Stacy conducts biweekly audits and provides daily AI feedback to ensure responses are accurate and on-brand.
• Simplify your knowledge base language. Before BFCM, Stacy rephrased all guidance documentation to be concise and straightforward so Shopping Assistant could deliver information quickly without confusion.
• Use proactive suggested questions. Most of Cornbread's Shopping Assistant engagement comes from Suggested Product Questions that anticipate customer needs before they even ask.
• Treat AI as another team member. Make sure the tone and language AI uses match what human agents would say to maintain consistent customer relationships.
• Free up agents for high-value work. With AI handling straightforward inquiries, Cornbread's CX team expanded into social media support, launched a retail pop-up shop, and has more time for relationship-building phone calls.

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.

Top learnings from Cornbread's conversational commerce strategy

1. Customer education drives conversions in wellness

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.

2. Shopping Assistant provides education that never sleeps

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.

3. Implementation follows a clear three-phase approach

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:

1. Preparation. Before launching, Cornbread conducted a comprehensive audit of their knowledge base to ensure accuracy and completeness. This groundwork is critical because your AI is only as good as the information it has access to.
2. Launch and training. After going live, the team met weekly with their Gorgias representative for three to four weeks. They analyzed engagements, reviewed tickets, and provided extensive AI feedback to teach Shopping Assistant which responses were appropriate and how to pull from the knowledge base effectively.
3. Ongoing optimization. Now, Stacy conducts audits biweekly and continuously updates the knowledge base with new products, promotions, and internal changes. She also provides daily AI feedback, ensuring responses stay accurate and on-brand.

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

4. Simple, concise language converts better

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

5. Black Friday results proved the strategy works under pressure

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: 

• Shopping Assistant conversion rate jumped from a 20% baseline to 30% during BFCM
• First response time dropped from over two minutes in 2024 to just 21 seconds in 2025
• Attributed revenue grew by 75%
• Tickets doubled, but AI handled 400% more tickets compared to the previous year
• CSAT scores stayed exactly in line with the previous year, despite the massive volume increase

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.

6. Strategic work replaces reactive tasks

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.

7. Continuous optimization for January and beyond

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.

Build your conversational commerce strategy now

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. 

{{lead-magnet-1}}

TL;DR

• Ecommerce teams are overwhelmed by app overload, with 42% using six tools daily—leading to inefficiencies, rising costs, and poor customer experiences.
• Top brands are consolidating their tech stacks, choosing deeply integrated, ecommerce-specific platforms to simplify operations and lower costs.
• AI adoption and excitement are accelerating, with 77.2% of ecommerce professionals using AI daily and 55.3% rating their excitement as an 8-10 out of 10. 
• Gorgias powers AI-driven support and sales in one platform, through a single workspace that helps ecommerce teams resolve faster, sell smarter, and operate more efficiently.

At Gorgias, we work with over 16,000 ecommerce brands and one common challenge emerges over and over:

Ecommerce tools are essential, but too many tools becomes a burden.

With different teams responsible for different functions, brands risk creating a disconnected tech stack that causes inefficiencies, reduces productivity, and ultimately impacts profitability. 

Ecommerce teams are shuffling between tabs, copying and pasting order numbers, searching for customer data, and trying to piece it all together. It’s not only inefficient—it’s expensive, frustrating, and unsustainable as you scale. 

So we dug into that data. 

Our 2025 Ecommerce Trends Report surveyed ecommerce professionals across industries and job roles to understand  what they really think about tech stacks and AI’s role in it. 

{{lead-magnet-1}}

Ecommerce professionals are approaching app overload 

There is now an ecommerce app for every possible use case a brand could need. But as businesses adopt new technologies for each part of their customer journey, their teams end up working out of dozens of platforms. 

The study found that 42.28% of ecommerce pros use at least six apps daily to perform their role. Regardless of the number of apps used, integration and compatibility are a must. When technologies don’t talk to each other, you spend time context-switching instead of focusing on customer experience.

For Audien Hearing, Gorgias’s open API allowed them to create an integration with its warehouse software to manage returns directly in Gorgias rather than a shared Google spreadsheet. This integration helped them reduce returns by 5%, protecting their margins and leading to higher customer satisfaction. 

Read more: How Audien Hearing Increased Efficiency for 75 Agents and Reduced Product Returns by 5%

Consolidation is the smartest move a brand can make

The most successful ecommerce brands aren’t necessarily using more tools—they’re using smarter tools. Leading businesses are opting for platforms that are deeply integrated, AI-compatible, and built specifically for ecommerce needs. 

A growing tech stack also comes with a growing tech budget. Each new app has new costs, including subscriptions, set-up, management, and development fees. They quickly add up. 

Nearly 40% of ecommerce professionals spend $5,000 to $50,000 annually on their tech stack. 

Different roles have different priorities

We asked ecommerce professionals what they actually value in their tools. Unsurprisingly, the answer changed based on who we were talking to. 

Top tool benefits included:

• Revenue growth for support leaders, revenue-focused roles, and founders
• Simplified workflows and time savings for support agents 

There’s a clear difference between what ecommerce leaders and agents value in a tool and considering both is key to success. 

Why brands hesitate to consolidate 

Despite the benefits of using fewer, well-integrated tools, there are a few things that hold brands back from consolidating their tech stacks. 

We asked respondents: 

What, if any, are the biggest deterrents to consolidating your tech stack? 

Top concerns are: 

1. Compatibility issues with existing software (52.4%)
2. Direct costs (fees for software licenses, subscriptions, or customizations) (47.6%)
3. Time required (40.3%) 

AI adoption is accelerating—and it’s driving results 

AI is dominating the world of ecommerce. It impacts every aspect of the customer journey, from brand discovery to the post-purchase experience. AI is actively reshaping the way ecommerce professionals work, so we wanted to know how they feel about it. 

• 77.2% of ecommerce professionals use AI and automation to perform their role in 2025, compared to 69.3% in 2024. 
• 55.3% of respondents rate their excitement for AI as an 8-10, compared to 45.6% in 2024. 

Despite growing usage and excitement, teams still have their concerns with AI: 

Read more: 8 AI Trends in Ecommerce: What’s Changing and How to Prepare

The AI shift—From just a support tool to a sales engine 

The most impactful use cases we’ve seen aren’t just about reducing support ticket volume. AI is now driving revenue, increasing conversion rates, and enabling 24/7 coverage without expanding headcount.

Gorgias’s AI Agent is now capable of virtual sales assistance through personalized product recommendations, dynamic discounts to reduce cart abandonment, and cross-sells and upsells. 

Top brands are already leveraging these new capabilities and seeing results. For example:

• TUSHY uses a Gorgias AI Agent to accurately answer pre-sale questions, leading to a 15% conversion rate, with AI Agent driving 2x more sales than human agents.
• Trove Brands enabled an AI Agent named Wally that cut misshipments by 70%, meaning reducing unwanted charges, avoidable fulfillment costs, high return rates, and customer frustration. 
• Caitlyn Minimalist uses AI to reduce response times by 99% and saw a 150% increase in ticket conversions.

Gorgias: A one-tab tool for Conversational AI

We asked one final question to make ecommerce folks really reflect on how they work:

How many tabs do you currently have open?  

The average ecommerce professional works with 22 open tabs. We’re not here to judge, but if you’re looking to close a few of those tabs, Gorgias might be what you’re missing. 

Gorgias replaces all that complexity with a single workspace. From support to sales, order management to automation, it all happens inside one platform.

Ecommerce businesses can now leverage Gorgias’s Advanced AI for both support and sales. Within the same AI Agent, ecommerce brands can

• Fully resolve customer inquiries, not just respond
• Provide order tracking details
• Cancel, edit, and manage orders in Shopify and integrated apps
• Process returns and exchanges
• Provide tailored product recommendations
• Drive conversions
• And much more! 

Get your copy of the 2025 Ecommerce Trends Report

This blog just skims the surface of what we uncover in our 2025 Ecommerce Trends report.

Want the full story?

Download the complete 2025 Ecommerce Trends: AI Adoption & Smarter Tech Stacks report to access:

• Data-backed insights and trends from ecommerce professionals 
• The biggest barriers to consolidation—and how to overcome them
• Real-world case studies from leading brands like TUSHY, Caitlyn Minimalist, and July that are winning with AI
• Tactical recommendations to future-proof your ecommerce stack through AI-powered consolidation

{{lead-magnet-1}}

Not sure where to go once the Black Friday and Cyber Monday excitement settles down? Don't worry—you're not alone. Many ecommerce brands will celebrate the uplift in sales from the four-day shopping frenzy without realizing there's a huge opportunity to keep the momentum going.

The holiday shopping season is your final  chance to drive sales, delight customers, and end the year strong. These five proven campaigns will help you capture last-minute shoppers, increase repeat purchases, and maximize  results.

1. Gift finder campaign: make gifting easy 🎁

Help shoppers find the perfect gift or gift bundle by linking existing resources in the campaign or offering pre-sales assistance through a conversational campaign (recommended).

Shoppers love personalized recommendations. A gift finder campaign highlights curated suggestions that simplify their decision-making.

• How it works: Trigger a message when shoppers spend over 15 seconds on a product page.
• Example message: “Looking for the perfect gift? This [product] is a fan favorite and pairs perfectly with [accessory]. Complete your gift with just one click!”  OR;
• Example message #2: “Not sure what to get? We can help! Click here to chat with us about finding the perfect gift.”
• Why it works: Gift bundles increase average order value (AOV) by 20%.

Pro tip: Highlight top-rated products or seasonal bestsellers to build trust.

2. Last-minute shopper campaign: create urgency ⏰

Encourage quick action as deadlines approach.

Last-minute shoppers are in a rush, so  combining urgency with a discount is the perfect motivator.

• How it works: Use an exit-intent popup during the final shopping days.
• Example message: “Still need gifts? Use code HOLIDAY10 for 10% off and get delivery by [date]. Hurry—time is running out!”
• Why it works: Exit-intent campaigns double engagement and reduce bounce rates by 37%.

Pro tip: ”You can also set a cart value threshold, ensuring that tailored offers are only provided to shoppers once they’ve added the minimum to their cart. You can also use a unique discount code rather than a generic code to drive a higher CTR.

3. Post-BFCM re-engagement campaign: boost loyalty 🔄

Turn Black Friday shoppers into repeat customers.

Reconnect with returning buyers by rewarding them for their loyalty.

• How it works: Display a personalized offer when previous shoppers return to your site.
• Example message: “Thanks for shopping with us on Black Friday! Here’s an exclusive 15% loyalty discount for your next holiday purchase.”
• Why it works: Repeat customers typically spend more, with a 10% boost in gross merchandise value (GMV).

Pro tip: Use the customer’s previous purchase to recommend complementary products.

4. AI-powered product recommendation: upsell effortlessly 🤖

Suggest relevant items to increase cart value.

Use AI to offer personalized product recommendations based on what shoppers are browsing or have in their cart.

• How it works: Show a message at checkout or when shoppers add an item to their cart, utilizing our tagging conditions to create highly targeted audience segments.
• Example message:“Love [product]? Add [related item] to complete the set! Customers who bought this also loved [product 2].”
• Why it works: Personalized upsell recommendations increase AOV by up to 15%.

Pro tip: Highlight frequently bought together items or exclusive bundles for the holidays.

You can easily set up product recommendations shown on your cart page with Gorgias Convert:

5. Holiday new arrivals campaign: spotlight seasonal exclusives ✨

Build excitement with fresh, holiday-themed products.

Shoppers love discovering new arrivals, especially during the holiday season.

• How it works: Target homepage visitors or holiday collection browsers.
• Example message: “Just in time for the holidays! Explore our exclusive [product line] and find the perfect gift.”
• Why it works: Announcements for new products increase conversions by 6%.

Pro tip: Use festive visuals and emphasize limited availability to drive urgency.

Don’t forget to A/B test your campaigns 🧪

Testing helps you discover what works best for your audience. Experiment with different offers, visuals, or CTAs to optimize results.

• Example: Test two versions of a free shipping upsell campaign.
  • Version A: “Spend $15 more to get free shipping!”
  • Version B: “You’re $15 away from free shipping. Add [product] to your cart now!”
  • Result: Version B may outperform because it includes a clear  product recommendation, reducing customer effort.

Pro tip: Track key metrics like click-through rate (CTR) and AOV to measure success.

These holiday campaigns are proven to boost sales and customer engagement during the busiest time of year. Use tools like Gorgias Convert to launch, personalize, and optimize your strategies seamlessly.

Don’t wait—end the year strong with campaigns that deliver results!

{{lead-magnet-1}}

TikTok Shop generated 68.1% of gross market value sales across all social media platforms in 2024 and $3.8 billion in sales in 2023. Clearly, it’s becoming a massive channel with abundant opportunities for sellers.  

To effectively harness TikTok Shop, however, brands with high-volume sales need to understand the specific challenges they will face when launching on the social platform. 

Many of these are operational, like maintaining an accurate inventory list between platforms, supporting customers efficiently, and fulfilling a large number of orders. 

When used together, AfterShip Feed and Gorgias can help you overcome these operational hurdles and start selling on TikTok Shop sooner. 

{{lead-magnet-1}}

Streamline order management & customer support on TikTok Shop

TikTok Shop is the commerce-enabled side of TikTok, where brands and creators can list their products for sale. Shoppers then make a purchase through shoppable (in-feed) videos, live shopping, or product showcases. The app aims to provide a “frictionless checkout experience,” enabling shoppers to engage with their favorite accounts and add-to-cart in a flash.   

While setting up a TikTok Shop is relatively simple, if you already run an ecommerce store that does a high volume of sales, adding TikTok Shop as an additional channel will be a little more complex. Thankfully, tools like AfterShip Feed and Gorgias can help you solve many operational issues and provide the same best-in-class customer experience on TikTok Shop as you do on your other channels.. 

Here’s a highlight reel on how you can implement both tools to improve efficiency and customer satisfaction, tackling issues like fulfillment or customer support inquiries from the same customers on different channels.

Centralize customer support with Gorgias 

800+ Gorgias customers currently use the TikTok Shop integration. It’s quick and easy to connect. With it, you can: 

• Manage all customer interactions in one place
• Automate ticket creation
• Enhance customers’ experience

Manage all customer interactions in one place

Coordinating customer support across different channels can be a pain. With Gorgias, however, you’ll be able to manage inquiries more efficiently and handle all shoppers’ messages by responding to TikTok Shop inquiries directly from Gorgias using text, images, and videos. 

Additionally, you can address order-related issues and manage cancellations, returns, and refunds from TikTok Shop in the same Gorgias dashboard you use for your existing channels. 

Automate ticket creation 

Leverage Gorgias’s automated ticket creation to reduce First Response Time (FRT) and ensure that you don’t miss a single customer inquiry from TikTok Shop. Save time by handling repetitive tasks (like order status updates) with automation. 

Enhance customers’ experience

Enabling the Gorgias TikTok Shop integration will allow you to maintain better control over communication and provide a consistent customer experience. Customers shopping via TikTok Shop will benefit from quicker responses, improving overall satisfaction and boosting brand loyalty.

Simplify operations with AfterShip Feed

AfterShip Feed is a reliable TikTok Shop management tool with 1,800 customers. It auto-syncs products, inventory, and orders between TikTok Shop and ecommerce platforms. 

Partner AfterShip Feed with TikTok Shop to: 

• List on TikTok Shop more efficiently
• Safeguard your revenue
• Streamline order management

‍

List on TikTok Shop more efficiently

AfterShip Feed makes listing high volumes of products on TikTok Shop easier through bulk uploads and editing, enabling you to update up to 10,000 SKUs at once. 

It uses AI to add key product details and keep your product listings accurate and consistent. Tools like category templates and product ID generation make it even easier to list your full catalog. 

Safeguard your revenue

AfterShip Feed has several features that will help you avoid lost revenue, especially during busy times like BFCM. 

Inventory threshold 

Inventory threshold helps you determine the minimum amount of inventory you need to have on hand to avoid selling out or buying too much. You can also set a fixed amount of inventory aside for TikTok Shop. 

Price rules 

Price rules help you set the ideal prices for each item you sell to protect your profit margins. 

Fulfillment hold 

A fulfillment hold stops an order at the fulfillment stage to ensure sufficient funds on the customer side, sufficient stock on yours—or to solve another issue behind the scenes. TikTok Shop has a standard 1-hour fulfillment hold, which can cause issues with inventory syncing on your main ecommerce platform. 

Streamline order management 

AfterShip Feed supports multiple fulfillment methods and integrates with many returns solutions. Sync orders from TikTok Shop with your existing fulfillment systems, ensuring timely and accurate deliveries. You can sync up to 24,000 orders to Shopify per hour.

Other features include order ID, shipping method, and product-SKU mapping. 

Which are the top-grossing TikTok Shop industries?

Two industries in particular see massive sales from TikTok Shop: beauty and personal care, and womenswear and underwear. According to a 2024 report from Statista, the beauty category saw over 370 million sales and women’s fashion 284 million sales in 2023. 

The beauty category alone has generated almost $2.5 billion in GMV, while the womenswear category has seen $1.39 billion.  

If your brand belongs to one of these categories, including Gorgias and AfterShip Feed in your TikTok Shop toolkit could be a great fit for you. 

Gorgias and AfterShip create better experiences 

Pairing Gorgias and AfterShip Feed will help you deliver a fantastic customer experience and grow your business on TikTok Shop. 

Get started →

TL;DR:

• AI Agent reduces workload and prevents burnout for CX teams. It handles routine queries and allows your human agents to focus on providing a higher level of service where it's needed most.
• AI Agent is secure and compliant with industry standards. Gorgias uses a zero data retention policy and follows strict security regulations, including SOC 2 Type II certification.
• AI Agent delivers personalized, on-brand responses. Custom Guidance and data from sources like Shopify allow AI Agent to maintain brand consistency while providing tailored customer interactions.
• Real-world success stories show tangible results with AI Agent. Brands like Psycho Bunny and Baby Gold have seen significant improvements in response times and resolution rates by implementing AI Agent.

AI changes the way CX teams operate. But we firmly believe that it’s a good thing. 

It will help you improve your team’s workload, say goodbye to burnout, and create a more consistent and speedy experience for your customers.  

Here’s the process we recommend for pitching Gorgias AI Agent to your boss, complete with an FAQ section for quick answers. 

Jump to a section:

• Start with the benefits
• Outline the data & security safeguards in place
• Highlight its brand accuracy and personalization
• Share success stories
• Set expectations

{{lead-magnet-1}}

Start with the benefits 

Gorgias views AI as an extension of CX teams, and that’s how many of our customers see AI Agent as well. Baby Gold calls theirs Michelle, Psycho Bunny calls theirs Lisa. 

These autonomous agents allow your human agents to focus on more complex and nuanced issues, providing a higher level of service where your customers need it most. 

Here are some other things that make AI Agent a great addition to your team: 

• ⏰ 24/7 availability: AI Agent operates around the clock, ensuring that customer inquiries are addressed promptly at any time, including weekends and holidays.
• 🏔️ Scalability: AI Agent can handle a high volume of inquiries simultaneously without any decrease in performance. This scalability is particularly valuable during peak times like BFCM. 
• 🚀 Efficiency and speed: AI Agent can process and respond to queries much faster than human agents, leading to quicker resolutions and improved customer satisfaction.
• 🦎Adaptability: AI Agent can quickly adapt to new information, products, or changes in policies immediately – all you have to do is add them to your knowledge docs and to the Guidance you set. 
• 🦾 Full control: You stay in full control of how AI Agent behaves in specific scenarios. Give AI Agent custom Guidance to ensure that each interaction with your customers reflects your brand’s values, policies and tone.

📚 Further reading: Our AI Approach: Onboard, Automate, Observe, and Coach

Outline the data & security safeguards in place 

Rest assured that AI Agent and Gorgias operate under a zero data retention (ZDR) policy. Once data is used, it isn’t stored. 

We’re SOC 2 Type II Certified and follow strict regulations in regards to data security.   

You can view the terms that cover the data we collect and how we use Artificial Intelligence by reading Our Master Service Agreement (MSA) and Data Processing Agreement (DPA). 

🎯 Resource: How AI Agent works & gathers data

Highlight its brand accuracy and personalization 

AI Agent provides consistent, accurate, and on-brand responses based on the information in your Help Center, Shopify order data, Macros, handover instructions, and the actual custom Guidance you set for it. 

It might just surprise you with just how specialized it can get. 

“Sometimes agents forget personal details to call out when communicating with our customers, like birthdays or weddings,” says Sindi Melgar, the Customer Service Manager at Baby Gold. 

“But I noticed on a few different occasions where AI Agent (ours is named Michelle) is highlighting these things and is saying, ‘Congratulations on your wedding!’ Just the tone of voice that Michelle is able to adopt is definitely on brand for us.” 

Ensure certain topics are handed over or excluded

When you set up AI Agent, you’ll also let it know the types of topics you’d like it not to answer. 

AI Agent automatically hands over tickets to your team whenever it lacks confidence in an answer or detects an angry customer. 

But you can also use handover rules to choose how AI Agent behaves when it passes tickets to your human team, and add specific topics that it should always hand over to your team.

🎯 Resource: Customize how AI Agent behaves

Provide feedback on responses

Don’t like something AI Agent said? Or, did you love an answer it gave? 

It’s easy to let AI Agent know by telling it you liked the response, saying it should have pulled from a different resource, or reporting an issue. 

🎯 Resource: How to coach AI Agent and give feedback

Prioritize your team’s docs

AI Agent uses your Shopify order data, Macros, your brand’s webpages, as well as your Help Center to give your customers accurate and on-brand responses. It also prioritizes any Guidance that you set.  

🎯 Resource: Why having a quality knowledge base is essential to using AI for CX

Share success stories 

We wouldn’t expect you to onboard a new tool without some actual statistics and reviews. Below, browse three success stories and the fantastic metrics that AI Agent helped their teams achieve.

After just one month of implementing AI Agent, the team at VESSEL not only increased the number of emails automated via AI Agent by 20%, but reduced first response time to 58 seconds and saw their resolution time decrease to one minute and six seconds.

When Baby Gold implemented AI Agent, they achieved a 49-second first response time, a one-minute and four-second resolution time, and answered 1,361 tickets. They also quadrupled their email automation rate. 

Psycho Bunny saw a 99.8% faster first response time, 99.4% faster resolution time, and 26% of tickets resolved by AI Agent. 

“Our customer support KPIs are already fantastic: we're already leading in the industry,” said Tosha Moyer, Senior Customer Experience Manager at Psycho Bunny.  

“To improve on that, we need AI—it’s not physically or financially possible with human agents alone.”  

Set expectations 

AI Agent isn’t going to find lost packages, pick up the phone, or fix damaged products. While this might seem obvious, it’s important to understand AI Agent’s core capabilities, as we want this to be an exciting and useful addition to your team. 

“AI Agent does a great job of efficiently handling returns and exchanges, and split shipment tracking info,” shares Tosha Moyer. “The overall tone is good and some of its responses are really excellent.” 

Below, find the top use cases for AI Agent, as well as the specific actions you can configure for it within Gorgias.  

AI Agent use cases

These are the top AI Agent use cases that we recommend: 

• Where is my order? (WISMO) inquiries
• Product-related questions
• Returns
• Order issues
• Cancellations
• Discounts (including BFCM)
• Customer feedback
• Account management
• Collaboration requests

The specific actions you currently can configure for AI Agent include: 

• Cancel an order in Shopify
• Edit a shipping address in Shopify
• Send Loop Returns portal deep link
• Send return shipping status from Loop Returns
• Cancel a subscription in Recharge

With more to come! And to quiet any worries, it’s worth mentioning that AI Agent will not perform any actions without you confirming them first.

Enhance your brand reputation and build trust

Offering fast, accurate, and 24/7 support can significantly enhance your brand reputation and build customer trust, which can translate into higher customer loyalty and increased revenue.

Get started with AI Agent →

{{lead-magnet-2}}

TL;DR:

• Gorgias AI Agent handles a variety of customer inquiries. These include order tracking, returns, cancellations, discounts, account management, feedback, collaboration requests, and complex topics.
• Use Guidance to train AI Agent to handle each type of inquiry. Guidance acts like a built-in training manual, helping AI Agent follow your brand’s guidelines in every interaction.
• Test and refine Guidance to keep responses accurate. Use Test Mode to ensure AI Agent follows instructions, reflects your brand’s tone, and escalates when needed.
• AI Agent can provide 24/7 support. Even when your agents are offline, AI Agent can respond to customers, reducing response times and keeping customers satisfied.

For support teams, sending the right answer at the right time, every time, is the ultimate goal. But with limited resources and operating hours, how can you be there for your customers 24/7? We’ve got an answer.

Designed specifically for ecommerce brands, AI Agent is conversational AI that steps in where human agents are stretched thin: handling repetitive tickets. AI Agent is trained on your brand’s policies, voice, and instructions, helping you resolve customer inquiries like your agents — but faster.

We’ll cover 10 types of inquiries AI Agent can resolve instantly, complete with template instructions (Guidance) and real-life examples. Plus, keep in mind five best practices to get the most out of your new AI teammate.

{{lead-magnet-1}}

10 AI Agent use cases, templates, and examples

Each use case comes with a template for Guidance instructions that acts like a built-in training manual for AI Agent. Then, see how AI Agent uses those templates to respond to real customer tickets.

Note: Guidance are special instructions that tell Gorgias’s AI Agent exactly how to handle customer questions, including when to hand them off to your human agents. This gives you control over AI Agent, so every AI interaction is always aligned with your brand’s protocols.

1. Where is my order? (WISMO) inquiries

90% of shoppers want to be able to track their orders, according to DispatchTrack. Easily fulfill those neverending WISMO requests with one comprehensive Guidance that detects a customer’s current order status to give them the best answer. 

Include these key elements in your where is my order? Guidance instructions:

• Detect if a tracking number is available: If the order has a tracking number, provide the link to the tracking page.
• Provide delivery time: Automatically calculate and share the expected delivery date based on the shipping method.
• Check order status: Inform the customer whether the order is processing, shipped, or delivered.
• Handle delivery delays: If the system detects a delay, apologize and offer an updated delivery estimate.
• Escalate complex issues: If the order is missing or has incorrect tracking info, escalate the ticket to a human agent for further review.

Here’s an example of a where is my order? Guidance setup, available as a template in Gorgias:

Here’s how AI Agent uses that Guidance to assist a customer with their order inquiry:

💡 Pro Tip: Can’t find AI Agent? Double-check that you have an active AI Agent subscription and connect Shopify to Gorgias. To do this, go to Settings > My Apps > Shopify > Update app permissions. You must be an Admin to complete this task.

2. Product-related questions

Shoppers ask product questions to get the clarity they need before buying. These pre-sales questions can make or break their decision to buy your product. Close the gap from browsing to checkout by using AI Agent to deliver quick, accurate answers that help them make confident decisions.

Here’s an example of a product-focused Guidance setup:

Here’s how AI Agent uses that Guidance to assist a customer with their product inquiry:

💡 Pro Tip: AI Agent can also learn information from your web pages. Go to AI Agent > Knowledge > Public URL sources to sync key web pages like sizing guides, blog posts, and more.

3. Returns

Answering ecommerce return requests can be time-consuming. Requests can range from a simple what is your return policy? question to customers wanting to go through the return process. Regardless, return inquiries can easily be handled by AI and handed off to a human agent if necessary.

Include these key elements in your returns Guidance instructions:

• Determine return eligibility: Check if the order is within the return window based on your policy.
• Identify non-returnable items: Inform customers if their item is non-returnable due to your specific policies.
• Guide through the return process: Provide instructions on how to initiate a return, including steps like entering an order number or using a return portal link.
• Inform about processing times: Share estimated times for processing returns and refunds.
• Escalate complex cases: If the return involves exceptions, like damaged goods or international returns, escalate the ticket to a human agent.

Here’s an example of a returns inquiry Guidance setup, available as a template in Gorgias:

Now, look at how AI Agent uses this Guidance to assist a customer with their return request:

💡 Pro Tip: If you’re using Loop Returns, set up AI Agent to automatically send a returns portal link to customers. This Action fully resolves returns inquiries by directing shoppers straight to their orders.

4. Order issues

Order issue tickets often require back-and-forth. The customer states their problem, you ask for photo verification and check if the customer has tried all the different solutions — the list goes on. Let AI Agent cover the bases for you every time, and if needed, escalate the ticket to your team.

Include these key elements in your order issues Guidance instructions:

• Express empathy for any inconvenience caused: Show that your customer’s happiness and experience are priorities.
• Handle damaged products: Provide instructions for customers to submit photos of damaged goods, then process a replacement or refund based on your policy.
• Correct incorrect shipments: If the wrong item was sent, guide the customer through returning the incorrect item and arrange for the correct product to be shipped.
• Escalate the issue: Route the ticket to a human agent for further handling.

Here’s an example of a Guidance setup for handling order issues, available as a template in Gorgias:

Here’s how AI Agent follows this Guidance to resolve a customer’s order issue:

5. Cancellations

Canceling orders is pretty much a race against order fulfillment and your third-party logistics. The key is to catch these inquiries as soon they hit your inbox. The problem? Tickets can come late at night or outside of your business hours.  However, when you let AI Agent handle them, customers can rest assured that their request will be dealt with.

Include these key elements in your cancellation Guidance instructions:

• Check order status: Determine if the order is eligible for cancellation based on its shipping status.
• Process cancellation: If eligible, guide the customer through the cancellation process and confirm the order has been canceled.
• Handle shipped orders: If the order has already shipped, instruct the customer on how to return the item once received, or escalate the case to a human agent.
• Escalate exceptions: For complex or time-sensitive cancellations, escalate the ticket to a human agent.

Here’s an example of a cancellation Guidance setup, available as a template in Gorgias:

Here’s how AI Agent follows this Guidance to handle a customer’s cancellation request:

💡 Did you know? You can let AI Agent cancel an order when the customer and order meet certain conditions. For example, the Action will only be performed if the fulfillment status is still empty. Go to AI Agent > Support Actions > Create from Template > Cancel order.

6. Discounts (including BFCM)

Come holiday season, including Black Friday, you’ll be swamped with loads of discount inquiries. Whether it’s customers asking about discount codes not working or if you have any codes available, these repetitive inquiries are best resolved by AI.

Include these key elements in your discount Guidance instructions:

• Provide active discount codes: Provide customers with a list of current discount codes and their eligibility criteria.
• Assist with missed discount codes: Help customers who forgot to add a discount code by offering guidance on how to apply it retroactively or escalate to an agent.
• Troubleshoot code issues: Guide customers through common reasons why a discount code might not be working, like expiry dates, minimum purchase requirements, or product exclusions.
• Upsell by offering alternatives to discounts: If no active code is provided, offer alternative available promotions or direct them to sign up for the latest offers.

Here’s an example of a discount inquiry Guidance setup, available as a template in Gorgias:

Here’s how AI Agent follows this Guidance to handle a customer asking for coupons:

7. Customer feedback

Acknowledging feedback, good and bad, can make customers more willing to keep doing business with you. Maintain an honest rapport with customers by letting them know you’re always listening.

Include these key elements in your feedback Guidance instructions:

• Acknowledge positive feedback: Respond with a thoughtful, genuine thank-you message, reinforcing customer appreciation.
• Request a public-facing review: Encourage customers who leave positive feedback to share their experience further, such as writing a product review or sharing their thoughts on social media.
• Escalate negative feedback: For negative feedback, escalate the ticket to a human agent.

Here’s an example of a customer feedback Guidance setup:

Here’s how AI Agent uses this Guidance to respond to positive feedback:

💡 Pro Tip: Let AI Agent automatically tag feedback tickets for you by going to AI Agent > Settings > AI ticket tagging. This way, your agents can find all customer feedback organized in one place.

8. Account management

Account management tasks like updating details or managing subscriptions are tedious, time-consuming, and often things customers can do themselves. Let AI Agent handle these tasks to speed up resolutions.

Include these key elements in your account management Guidance instructions:

• Provide instructions: Provide clear instructions for updating account details like email, shipping address, or payment methods.
• Verify identity for security: Include steps to verify customer identity before making sensitive changes, like account or subscription modifications.
• Escalate complex issues: For issues like account access problems or billing disputes, escalate to a human agent.

Here’s an example of a Guidance setup for account management, available as a template in Gorgias:

Take a look at how AI Agent uses this Guidance to help a customer with managing their rewards:

💡 Pro Tip: Use Recharge Actions to automate subscription cancellations or skip shipments with AI Agent. Go to AI Agent > Support Actions > Create from Template > Cancel subscription or Skip next subscription shipment.

9. Collaboration requests

Influencer marketing is on the rise as customers look to social proof when deciding what products to buy. With the right Guidance, your AI Agent can easily manage collaboration and marketing partnership inquiries.

Include these key elements in your collaboration requests Guidance instructions:

• Gather social media profiles: Prompt customers to share their social media profiles and relevant platforms for review if they haven’t.
• Request collaboration details: Ask for specifics about the type of collaboration or partnership they’re interested in (e.g., influencer campaigns, sponsorships).
• Provide next steps: Let the customer know their request will be reviewed and what they can expect in terms of timing.
• Escalate complex or high-value inquiries: For more significant partnerships, escalate the request to your marketing or partnerships team.

Here’s an example of a collaboration request Guidance setup:

See how AI Agent uses this Guidance to respond to a collaboration request from a content creator:

10. Complex and sensitive topics

AI Agent isn’t designed to handle all tickets. For highly complex and sensitive topics, instruct AI Agent to reroute them to your human agents who are equipped to handle certain subjects with more caution and context than AI. 

For example, a makeup brand would disable AI Agent from taking on tickets about allergic reactions or health concerns so customers receive safe advice.

Here are other messages you should prevent AI Agent from answering:

• Messages that mention legal actions
• Messages that mention allergic reactions or health issues
• Messages where customers report negative reactions to products
• Messages that mention unsubscribing, stop messages, stop emails or stop texts

Take a look at how AI Agent escalates a ticket about a damaged product:

Note: AI Agent automatically escalates messages with angry language and sentiment to your support team — no Guidance needed.

Keep these 5 Guidance best practices in mind

While AI Agent answers most customer inquiries, you’ll still need to be there to provide it with the barriers to keep its answers on-brand and accurate.

Here are five best practices to keep in mind when creating Guidance instructions.

1. Include Guidance for your top 5 most FAQs

Prime AI Agent with essential brand information by creating Guidance for the top five most common customer questions:

• Order status and tracking
• Returns, exchanges, and refunds
• Order cancellations and edits
• Discounts and promos
• Subscription/account management

You can automate a significant portion of customer support and save time for your team just by letting AI Agent answer these tickets.

2. Use a descriptive Guidance name

Always use clear and descriptive names for your Guidance. AI Agent relies on this information to identify whether the Guidance is relevant to the customer’s question. 

For example, instead of naming it “Shipping,” use something like “Shipping policy – domestic & international” to help AI Agent choose the right response.

3. Include examples in your instructions

It’s important to include detailed examples to help AI Agent detect the intent behind your incoming tickets. Clear examples let AI Agent match customer inquiries with the correct response more reliably.

For instance, instead of just saying, “Answer shipping questions,” give it an example: “For domestic orders, say: ‘Shipping takes 5-7 days. For international orders, it takes 10-15 days.’” This helps AI Agent detect when a question is about shipping timelines and respond appropriately.

4. Review and update your Guidance

Customer needs and products change over time, so it’s important to check back on your Guidance to make sure it’s relevant. AI Agent’s responses should reflect any changes to your policies, products, or processes to provide customers with up-to-date information.

5. Test new and updated Guidance in Test Mode

Before going live with new or updated Guidance, use Test Mode to make sure AI Agent is responding as expected.

Here are key things to check in Test Mode:

• Help Center articles: Verify that AI Agent is pulling from the correct Help Center resources.
• Guidance instructions: Test your updated Guidance to make sure AI Agent follows the protocols you have laid out.
• Excluded topics: Ask AI Agent questions about excluded topics to make sure it escalates the inquiry as needed.
• Tone of voice: Check that AI Agent’s responses are in your brand’s tone.

Lead conversations to faster resolutions with AI Agent

Right out of the box, Gorgias includes Guidance templates to help AI Agent manage your FAQs, like returns inquiries, shipping questions, and more.

Equip your AI Agent with Guidance and watch your support team thrive with more time to nurture your customer relationships and handle complex tasks.

See how AI Agent can transform your support team within minutes by booking a demo today.

{{lead-magnet-2}}

‎Jordan Brown, Founder of Omnie, recently hosted a workshop at CX Connect in Los Angeles on creating better customer support programs with AI. 

If you weren’t able to attend live, or you just want a refresh, we’ve put together a recap of the workshop.

We'll cover how to get started with building your AI customer support strategy and, once you're up and running, how to measure success and ensure AI is operating properly.

You can also watch Jordan’s full workshop below:

Common AI concerns 

First, Jordan did a bit of “myth busting” and went through everyone’s most top-of-mind concerns for implementing AI. Here’s what they were worried about: 

1) How to measure success quantitatively  

Concern: Unsure which customer service metrics to track and how often to monitor each AI response to ensure it's accurate. 

Jordan’s response: He recommends monitoring customer satisfaction, escalation rate, automation rate, and customer sentiment. 

2) AI will sound too robotic

Concern: How to make everything into your brand voice and not just sound robotic, but personalized.

Jordan’s response: Create brand guidelines and set them up as guidance for your AI agent. 

3) My team worries AI will take their jobs 

Concern: How to use AI as a member of my team without freaking out my team that it's going to take over their jobs. What kind of new tools are they talking about, and how will my team's roles evolve with AI?

Jordan’s response: Agents will naturally feel like they're being replaced by AI, but they'll just have a different focus—sales, monitoring AI, supporting it, and training it. Having that conversation with them is a good idea.

4) The time it takes to set up will affect our current requests 

Concern: We’re just a small team, and we’re worried about stopping to invest our time and energy into setting it up, which could potentially affect the service to customers who already reached out to us.

Jordan’s response: That's understandable. Implementing AI will save time in the end, but it's a huge change.

{{lead-magnet-1}}

How to get started with AI 

Here’s what Jordan recommends for weaving AI into your customer experience program: 

• Establish the foundation for your strategy
• Set up AI in phases
• Prioritize empathy & personalization 
• Measure and monitor success

Establish the foundation for your strategy

You've all probably experienced poorly built AI chatbots, especially with massive companies where it's impossible to find their phone number, and you're stuck in chatbot loops.

That situation really benefits the brand because they don't have to talk to customers, saving costs. But you want to benefit both the brand and the customer, so you need to implement AI properly. 

That means setting up AI with a personalized touch, and making sure it's successful so that both brands and customers enjoy the benefits.

Here’s what your top priorities should be: 

• Identify potential risks and best practices to mitigate risks 
• Understand AI's capabilities (since it's not going to find lost packages, pick up the phone, or fix damaged products) 
• Build in your brand tone and voice making the AI feel as human as possible

📚 Further reading: Why having a quality knowledge base is essential to using AI for CX

Set up AI in phases 

Advanced AI tools work off confidence scores. Each AI response has a confidence score, indicating how confident the AI is that its response is accurate. 

At Omnie, Jordan likes to set up AI in phases, where the AI only answers when it's 100% confident. Anything less goes to an agent to avoid risking the customer experience. 

You don't have to turn on AI for everything immediately—you can ramp up slowly. 

Automation and AI also don't need to handle a ticket fully from end to end. 

For example, if a customer wants to return something because they changed their mind, great. But if there’s an issue with the product, send it to someone on the retention team to try and salvage the sale. If it’s for particular reasons, automate the return.

📚 Related: Ecommerce returns: 10 best practices for taking your online store to the next level

Prioritize empathy & personalization 

Empathy and personalization are critical. At Omnie, Jordan and his team weren’t comfortable with automation a year ago because it felt robotic. But with new technology like ChatGPT, you can inject your brand tone and voice. 

You could be funny, concise, chatty—whatever fits your brand. 

They worked with Jason Momoa's water company, where the bot talks like him, making it a unique brand tone. 

When AI is implemented properly, the customer thinks they’re talking to a human, as seen with Frye, a shoe company that’s been around since 1863. Omnie is saving them 240 hours a month of support time, automating nearly 800 tickets, and customers think they’re interacting with a human named Caleb.

To get started, determine your brand tone and voice. If you don’t have a brand book, figure out how you want to talk to your customer so it’s consistent.

📚 Related: New data shows 4 ways automation impacts customer service

Measure and monitor success

As you ramp up, test in the playground before going live, especially for businesses with sensitive information. Monitor the metrics for success: customer satisfaction, escalation rate, automation rate, and customer sentiment. AI isn’t something you set up and walk away from — it requires constant maintenance.

Ramp up with Gorgias AI Agent worry-free

Experience firsthand how AI Agent can transform your support strategy and save your team time by automating repetitive tasks and keeping your brand’s voice front and center. Book a demo now.

{{lead-magnet-2}}