Automate Personalized Email Responses for Customer Inquiries

Most ecommerce teams rely on helpdesks like Gorgias or Zendesk. Their macro features can insert static text or simple variables like an order number. They cannot, however, perform logic. If a customer asks where their package is, a macro can't query the UPS API, interpret the 'In Transit' status, and compose a reassuring message. The agent must do that work by hand.

Consider this common email for an apparel store: "Hi, my order from last week hasn't arrived, and I'm wondering if I can still change the size of the blue t-shirt." This is two requests in one. An agent must first log into Shopify to see the order details, then check ShipStation for the tracking status. After that, they have to check the fulfillment status to see if an exchange is even possible. This multi-step research process takes 3-5 minutes of manual work for a single ticket.

The structural problem is that helpdesks are designed for ticket management, not real-time data synthesis. Their architecture is built to store and display ticket information, not to execute conditional logic based on queries to multiple external APIs. They can show you the data, but they cannot reason about it to create a new, personalized answer from scratch. This forces your support team into repetitive, low-value data lookup instead of high-touch customer interaction.

The first step would be a data audit of your last 3 months of support tickets. Syntora would categorize the top 5-10 inquiry types, like 'Where is my order?' (WISMO), return requests, and product questions. This analysis identifies which automations will have the highest impact and what data is needed to answer them. You receive a scope document detailing the first 3 automations to be built.

The technical approach uses a FastAPI service hosted on AWS Lambda that triggers via a webhook from your helpdesk. For each ticket, the service uses the Claude API to determine the customer's intent and extract entities like an order number. It then queries your Shopify API for order data and the shipping carrier's API for tracking status. This context is fed into a second Claude API call that generates a personalized draft, which posts back to the helpdesk as an internal note. The entire process finishes in under 5 seconds.

The delivered system integrates directly into your existing workflow. When an agent opens a ticket, a fully-formed draft response is already waiting. This system runs for under $50 per month for up to 10,000 inquiries. You receive the full Python source code, documentation, and a runbook for how to add new response types yourself.