How Top Brands Like Caraway Home Move Beyond AI Sales Bots to Nail the Art of Post-Purchase CX

E-commerce AI is evolving quickly, but mostly at the storefront. Vendors are showcasing hyper-personalized bots that guide shoppers, recommend products, and even close transactions. Yet behind the scenes, where CX leaders manage returns, warranty claims, and post-purchase support, the tools that match that hype are still largely missing.

Colin Waters, Customer Experience Manager at Caraway Home, recently attended Shoptalk 2026, looking for vendors who could automate warranty decisioning on the back end. He wanted AI that could read a claim image, cross-reference order history, recognize a known issue, and either resolve it or stage it for an agent to finalize. What he found was an industry still fixated on the front of the funnel, while the operational infrastructure of post-purchase CX remains largely undeveloped.

"Everybody thinks of AI as replacing agents. What I'm really looking for is AI to make our agents' jobs easier and more informed. Give them the tools to make better decisions about the product, the customer, and when exceptions are appropriate," Waters says. The process starts with AI handling the initial work—reading claims, pulling order data, and matching known issues—so the agent only manages the final step.

• Back-end game plan: "What I would really like is an agent or AI solution at the very start of the process, creating the resolution, the response, and doing everything an agent would do. I want it at the one-yard line for an agent to push over the goal line," Waters emphasizes. But that infrastructure barely exists. "I’m not seeing that kind of experience where things move quickly. I can train an agent or an AI to recommend products or guide a return, but the back end still falls short." Without ready-made solutions, he turned the conference into a product feedback session, coaching vendors on what his operation actually needs.

• DIY coding: "Some brands got what we're after, while others focused on bigger, more universal issues," says Waters. CX leaders face a familiar tension: wait for a vendor to catch up, or attempt to build it yourself. "Do you try to build your solution yourself and see if AI can help, or stick with vendors and let them do what they do best?" The core of that decision depends on what those systems should actually deliver in practice.

• VIP treatment: "Can AI say, ‘This customer is worth the exception,’ or flag bad actors and tell the team not to approve warranty replacements?" he asks. Offloading that analysis changes what agents spend their time on. "It lets the team focus less on the thought process and resolution and more on customer relationship building. We can alleviate many of those escalations and take more ownership of the conversation." Giving agents additional time to concentrate on high-value conversations to strengthen customer loyalty.

"In this economy, it's crucial to retain customers while you have them, and making exceptions can turn near-lost customers into lifelong ones," Waters adds. This perspective gives insight into the bigger picture of customer experience. "The warranty team sees the gap between what customers expect from a purchased product and the reality of the post-purchase experience." For items people use daily, a claim carries more emotional weight than a standard return.

• Baking up connections: "Cooking with our Caraway items is very intimate. People use them every day and put a lot of effort into it. It's family-oriented, and we want to build that relationship." That personal connection makes retention more important in a challenging economic landscape. "With all the costs coming from tariffs and global uncertainty, part of the strategy is retention, creating loyal customers and driving meaningful sales, not racing to the bottom."

• Command tower: Retention relies on understanding how products perform after purchase. "I pull data from returns, warranties, and reviews to provide a snapshot of how a product is performing," he said. "It's a unique position at the intersection of product, finance, operations, CX, and customers. I get to be that information center." Most of that is still manual, and better tooling would let his team spend less time gathering data and more time acting on it.

AI can handle the heavy lifting in post-purchase CX, giving teams space to focus on meaningful interactions and customer relationships. That insight, drawn from returns, warranties, and everyday use, highlights the delicate balance of customer expectations. "Sometimes the customers expect more than the product delivers, and sometimes it exceeds their expectations—a true yin and yang," Waters concludes.