Automate Ecommerce Return Calls with a Custom AI Voice Agent

Many ecommerce businesses rely on standard phone IVRs or their helpdesk's built-in voice features. A classic IVR forces customers through rigid menus ("Press 1 for new orders, Press 2 for returns...") that cannot understand natural language. A customer asking "Where's my refund?" breaks the system, frustrating them before they ever reach an agent.

Modern helpdesks like Gorgias or Zendesk offer voice capabilities, but these are often text-first systems with a voice layer added on. They are poor at handling conversational turns or interruptions. For example, a customer might say, "I want to return the shirt from order 1055, but not the hat." The system hears "return" and "order 1055" but misses the critical nuance about the partial return, leading it to default to, "I'm sorry, I can't help with that. Transferring you to an agent."

The result is a bottleneck. A human agent spends 5-7 minutes on a routine call, pulling up the order in Shopify, manually checking if the hat was a final-sale item, explaining the policy, initiating the return for the t-shirt, and emailing a label. At 20 return calls per day, that is over 2 hours of an agent's time spent on a repetitive, low-value task.

The structural problem is that these tools are designed for call routing, not call resolution. They lack the deep, real-time API integrations with your backend order data and business logic. They can categorize a call, but they cannot actually perform the actions required to resolve the customer's issue on their own.

The engagement would begin with a discovery process to map your end-to-end returns workflow. Syntora audits your ecommerce platform's APIs (e.g., Shopify's Order API or a custom database schema), documents every business rule (30-day windows, final sale SKUs, refund methods), and analyzes your past support tickets to identify the top 5-10 return-related questions your customers ask. This produces a clear data flow and logic map that you approve before any code is written.

The technical approach uses a core FastAPI application running on AWS Lambda, which keeps hosting costs under $50 per month for moderate call volumes. This service integrates with Twilio for PSTN connectivity and the Claude API for state-of-the-art natural language understanding. When a call arrives, Twilio converts speech to text, the FastAPI app sends the text to Claude to determine intent, and then calls your Shopify or database API to take action. The entire loop is designed for a response time of under 2 seconds.

The delivered system is a dedicated phone number that handles the entire return initiation and status check process for over 70% of your return-related calls. For complex cases, like a damaged item claim requiring a photo, the AI agent gathers the initial information (order number, customer name, issue) and then seamlessly transfers the call and a summary of the conversation to your support team via Slack or a helpdesk ticket. You receive the complete Python source code, a deployment runbook, and full ownership of the system.