Trove Brands—parent company of BlenderBottle, Owala, and Whiskware—reduced failed order cancellations by 70%, saved $23K in monthly labor costs, and achieved a 99% decrease in first response time during BFCM 2024 by deploying Gorgias AI Agent (nicknamed “Wally”) to handle urgent cancellation requests in real time.
Managing customer service for one high-growth ecommerce brand is hard enough. Managing it for three viral ones—simultaneously—is a different challenge entirely.
Trove Brands sits at the intersection of consumer lifestyle and rapid ecommerce scale. BlenderBottle, Owala, and Whiskware each carry passionate, loyal followings. When a product launch goes viral or a sale drops, ticket volumes don’t just spike—they surge. And few things erode customer trust faster than a misshipped order: one where the customer reached out to cancel or change their order in time, but the request didn’t get actioned before the warehouse moved.
For VP of Customer Service Jon Clare and his team, this wasn’t an occasional problem. It was a structural one. The window between an order being placed and it being picked, packed, and shipped is narrow. Human agents, no matter how skilled, can’t always close that gap fast enough.
This is the story of how Trove Brands solved it—not by scaling their team, but by deploying Gorgias AI Agent, which the team affectionately named Wally, to handle urgent cancellation requests the moment they arrive.
The Challenge: Handling Urgent Cancellations Across Multiple High-Volume Brands
Order cancellation requests are uniquely time-sensitive. Unlike a refund inquiry or a product question, a cancellation only matters if it’s actioned before fulfillment begins. Miss that window, and the customer receives an order they didn’t want—triggering a return, a refund, a dissatisfied review, and a wasted shipment.
For Trove Brands, this problem was compounded by scale. With three brands operating across high-traffic periods like Black Friday and Cyber Monday (BFCM), ticket volumes can spike dramatically in compressed timeframes. During BFCM 2024, the team faced a defining test: could their customer service infrastructure keep pace with demand without sacrificing speed or accuracy?
Before implementing Gorgias AI Agent, the answer was increasingly no. Cancellation requests were sitting in queues. Agents were triaging manually. And misshipments—failed cancellations that resulted in orders going out the door anyway—were occurring at a rate that was both costly and damaging to customer relationships.
The team needed a solution that could act instantly, integrate directly with Shopify’s order management system, and do so with the kind of tone and clarity that reflected Trove Brands’ human-centric culture.
The Solution: Deploying Gorgias AI Agent (“Wally”) for Human-Like Automation
Trove Brands turned to Gorgias AI Agent—a conversational AI automation layer built natively into the Gorgias customer service platform. Rather than treat AI as a blunt instrument for deflection, Jon Clare’s team approached the implementation with intention. They named their AI Agent “Wally,” giving the bot a distinct identity that aligned with their team culture and signaled to customers that they were interacting with a capable, friendly presence.
This wasn’t a decision made lightly. The Trove Brands team is deeply people-focused. Automation had to complement their service values, not compromise them. Wally was configured with custom tone guidelines, brand-specific responses, and clear escalation paths for edge cases that required human judgment.
The result was an AI Agent that felt less like a bot and more like a well-trained first-line team member—one that happened to operate 24/7 and respond in seconds.
Enabling Real-Time Order Cancellations with Shopify Actions
The technical centerpiece of Trove Brands’ implementation is Gorgias AI Agent’s Actions feature—specifically, the Shopify integration that enables Wally to cancel orders directly within the conversation, without routing the request to a human agent first.
Here’s how it works in practice: a customer reaches out through chat or email to cancel an order. Wally identifies the intent, verifies the order details via Shopify, and—if the order is still within the cancellation window—executes the cancellation in real time. The customer receives confirmation immediately. The warehouse never picks the order. The misshipment never happens.
This direct integration with Shopify is what makes the speed possible. Before Actions, cancellation requests had to be read, understood, and manually processed by an agent. Every step in that chain introduced latency. With Wally handling the full loop—detection, verification, action, confirmation—the average resolution time dropped to just 31 seconds, with an average response time of 25 seconds.
That 25-second response time isn’t just fast. For time-critical cancellations, it can be the difference between a smooth customer experience and a costly misshipment.
How Trove Brands Enhanced the Agent Experience
One of the more nuanced wins from Trove Brands’ implementation is what happened to their human agents—not replacement, but relief.
By automating high-volume, low-complexity requests like cancellations, Wally freed the human team to focus on the tickets that genuinely required empathy, judgment, and brand expertise. Agents weren’t spending time on repetitive triage. They were spending it on conversations that mattered.
Jon Clare’s team also used the AI Agent rollout as an opportunity to review and refine their broader support workflows. Which ticket types were best suited for automation? Where did escalation paths need to be clearer? The Gorgias platform’s reporting gave the team visibility into resolution patterns, helping them continuously improve how Wally performed.
This iterative approach—deploying AI, reviewing outcomes, and refining—reflects the kind of strategic thinking that separates teams who use AI effectively from those who simply deploy it and hope for the best.
The 45% automation rate Trove Brands achieved isn’t a static number. It’s the result of an ongoing process of calibration, with Wally getting better as the team feeds it more context and expands its scope.
The Results: 70% Fewer Misshipments, $23K Saved Monthly, and a 99% BFCM Drop in Response Times
The numbers tell a clear story.
Operational efficiency:
- 45% automation rate — nearly half of all incoming tickets are now handled by Wally without human intervention
- $23,000 in monthly labor cost savings — directly attributable to AI Agent handling volume that would otherwise require additional headcount
- 25-second average response time and 31-second average resolution time for AI Agent-handled tickets
Fulfillment accuracy:
- 70% reduction in failed order cancellations — the core metric that defined the business case for real-time Shopify Actions
Peak performance:
- 99% decrease in first response time (FRT) during BFCM 2024 — Wally absorbed the spike in volume without the delays that had previously defined high-traffic periods
That last figure deserves emphasis. BFCM is the ultimate stress test for ecommerce customer service. Response times that are acceptable in March become unacceptable in November. The fact that Trove Brands achieved a 99% decrease in FRT during their busiest period—while maintaining quality—is a direct indicator of how well the implementation was designed and executed.
According to Jon Clare, VP of Customer Service at Trove Brands, the impact went beyond efficiency metrics. The team’s culture around customer service remained intact. Wally handled the volume; the humans handled the nuance. That balance is what sustainable AI adoption in enterprise ecommerce actually looks like.
Looking Forward: Expanding Wally’s Impact with More Channels and Actions
Trove Brands isn’t treating this implementation as a finished product. The team has identified clear expansion opportunities that will extend Wally’s value across more channels and use cases.
On the channel side, the current deployment is focused on chat and email. Social messaging, SMS, and self-service portals represent natural next steps—each one an opportunity to bring the same 25-second response capability to new touchpoints.
On the Actions side, order cancellations are just the beginning. Gorgias AI Agent supports a growing library of automatable actions, including order modifications, address updates, and returns initiation. Each new action added to Wally’s capabilities reduces the volume of tickets that require human handling—without reducing the quality of the experience for the customer.
The long-term vision for Jon Clare’s team is a tiered service model: Wally handles the predictable, the repetitive, and the time-sensitive. Human agents handle the complex, the emotional, and the brand-defining. AI and humans, working in their respective zones of strength.
What Trove Brands’ Results Unlock for Enterprise Ecommerce Teams
Trove Brands’ results offer a replicable model for any enterprise ecommerce operation managing high ticket volumes, multiple brands, or time-sensitive fulfillment windows.
The key enablers were specific: a native Shopify integration that allowed real-time order actions, a deliberate approach to AI Agent configuration, and a team culture that embraced automation as a complement rather than a replacement. Remove any one of those elements, and the results would look different.
The 70% reduction in misshipments is the headline. But the deeper win is what it represents: a customer service team that scaled its capacity during peak demand, protected its fulfillment accuracy, and saved $23K per month—without burning out its human agents or compromising the brand experience that makes BlenderBottle, Owala, and Whiskware so well-regarded.
That’s what AI Agent done right actually looks like.
Frequently Asked Questions
What is Gorgias AI Agent, and how does it differ from a standard chatbot?
Gorgias AI Agent is a conversational AI automation layer built into the Gorgias customer service platform. Unlike rule-based chatbots that follow scripted decision trees, Gorgias AI Agent uses large language model technology to understand customer intent contextually and take direct actions—such as canceling Shopify orders—within a live conversation. Trove Brands’ implementation, named Wally, achieved a 25-second average response time and 31-second average resolution time.
How did Gorgias AI Agent reduce Trove Brands’ misshipments by 70%?
Gorgias AI Agent reduced misshipments by enabling real-time order cancellations through a native Shopify integration. When a customer requested a cancellation, Wally identified the intent, verified the order, and executed the cancellation directly—without routing the request to a human agent. This eliminated the queue delay that previously caused orders to ship before cancellations were processed.
What automation rate did Trove Brands achieve with Gorgias AI Agent?
Trove Brands achieved a 45% automation rate, meaning nearly half of all incoming support tickets are now resolved by Wally without requiring human intervention. This contributed to $23,000 in monthly labor cost savings.
How did Gorgias AI Agent perform during BFCM 2024?
During Black Friday and Cyber Monday 2024—ecommerce’s highest-volume period—Trove Brands recorded a 99% decrease in first response time (FRT). Gorgias AI Agent absorbed the spike in ticket volume without the delays that had characterized previous peak periods.
Is Gorgias AI Agent suitable for multi-brand ecommerce operations?
Yes. Trove Brands operates three distinct consumer brands—BlenderBottle, Owala, and Whiskware—under one customer service infrastructure. Gorgias AI Agent was configured to handle tickets across all three brands, demonstrating that the platform scales effectively in multi-brand enterprise ecommerce environments.
What future expansions is Trove Brands planning for Gorgias AI Agent?
Trove Brands plans to extend Wally’s capabilities to additional channels (including social messaging and SMS) and add new Shopify Actions such as order modifications, address updates, and returns initiation. The goal is to expand the automation rate while maintaining the human-centric service culture Jon Clare’s team has built.
