How Erewhon Automated 70% of Customer Service Tickets and Saved $40K Annually with Zapier

Erewhon operates 10 high-end grocery stores across Los Angeles, each with its own customer service inbox in HelpScout. The chain had built a loyal and high-value membership base, but its customer service operation was entirely manual: each location handled every ticket independently, with no ability to prioritize premium members, maintain consistent response quality across stores, or avoid redundant work on common inquiries. Staff were spending more than 20 hours per week on repetitive responses.

The core problem was fragmentation. Ten separate inboxes meant ten separate workflows, no shared institutional knowledge, and no way to automatically identify which customers warranted elevated attention based on their spending history or membership status. As ticket volume grew with Erewhon’s expansion, the team needed a scalable solution that could personalize at scale without proportional headcount growth.

Chris Morrison, Erewhon’s Business Analyst and self-taught AI lead, built a 39-step Zap that orchestrates the entire customer service response pipeline. When a ticket arrives in HelpScout, the system checks the customer’s membership status against Erewhon’s database, routes members to a dedicated AI agent configured with a warmer tone while non-members receive standard responses, drafts a reply using a vector store of institutional knowledge about membership policies and store procedures, and surfaces the customer’s purchase history so store managers can prioritize high-spend members. To validate quality, Morrison also built a second AI—an “English Tutor” agent that grades each AI draft against the final human response, scoring how much the agent changed.

The system now handles 70% of inbound customer service tickets without any human modification to the AI-drafted response. Across 10 stores, this translates to 1,500 labor hours saved per year and approximately $40,000 in annual labor cost savings. The investment in Zapier delivers a 5.5x return.

Erewhon’s customer service automation has become a core operational infrastructure, described by Morrison as one of only two things the company’s operations depend on. The architecture demonstrates how small teams at retail businesses can deploy multi-model AI pipelines—without engineering resources—to achieve measurable, scalable outcomes.