Automate Ecommerce Returns with a Custom AI Agent

Many support teams use Gorgias or Zendesk for their helpdesk. They rely on macros and keyword triggers to speed up responses. The problem is that these keywords are brittle. A macro triggered by the word "return" works for "I want to return this," but fails completely for "This arrived broken, what are my options?" Your agent still has to read the email, determine intent, and then manually copy the order ID into Shopify.

Consider a typical online apparel store that receives 100 return requests per day. A support agent spends 5-7 minutes on each one. They must read the email, find the order in Shopify, check if the item is within the 30-day return window, confirm it wasn't a final sale item, then manually create a return label and email it back. This repetitive, low-value work consumes over 8 hours of agent time daily and is a primary source of data entry errors.

Off-the-shelf chatbots attempt to solve this but fail at the point of complexity. A basic chatbot can ask for an order number, but it cannot handle a customer who wants to return one item from a multi-item order. The bot cannot check multiple conditions simultaneously, like order date and product category (e.g., final sale), so it escalates the ticket to a human, defeating the purpose of automation.

The structural problem is that these tools are built for human-in-the-loop ticketing, not autonomous action. They are designed to organize work for agents, not perform the work. Their logic is based on simple if-then rules, not language understanding. They cannot parse unstructured text, check multiple systems for eligibility, and then execute an API call based on the result.

The first step would be mapping your entire returns process. Syntora documents every rule: return windows, item exceptions like final sale, exchange logic, and refund procedures. This creates a "policy-as-code" document that becomes the AI's rulebook. We would also audit the APIs for your ecommerce platform (e.g., Shopify Admin API) and shipping provider (e.g., Shippo).

The technical approach uses a FastAPI service that listens for new support tickets via webhook from your helpdesk. When a ticket arrives, the Claude API parses the customer's email to extract intent (return, exchange, damaged), the order ID, and specific items. The service then queries your ecommerce platform's API to verify eligibility based on the documented rules. The entire process typically takes less than 30 seconds. A build for a single platform like Shopify takes around 4 weeks.

The delivered agent posts internal notes in the helpdesk ticket, showing exactly what actions it took. For the 15% of edge cases it cannot handle, such as ambiguous requests or angry customers, it tags the ticket for immediate human review. You get the full Python source code in your GitHub repository, deployed on AWS Lambda for hosting that costs under $50 per month, with a dashboard showing processing volume and accuracy rates.