AI Customer Support Agent

A support agent that answers order-status, returns, and product questions directly from a store’s live data, and hands off to a human the moment a question needs judgment a model shouldn’t make.

Most support tickets in retail are the same handful of questions asked hundreds of times a week. Answering them well requires pulling live data from several systems slow for a human, mechanical enough to automate carefully.

• Answer routine order and product questions from live store data, not a static script.
• Recognize the boundary of what the agent should answer versus escalate.
• Keep every escalation and resolution logged in the existing support platform.
• Match the brand’s tone rather than sounding like a generic bot.

The agent connects to order and inventory data through the Shopify API and to the support inbox through Zendesk. Incoming messages are classified by intent; routine categories are answered directly with live data, while disputes and low-confidence cases are routed to a human with the conversation already summarized.

1. 01Classify. Incoming message is classified by intent order status, returns, product question, or something needing a human.
2. 02Retrieve. For routine intents, the agent pulls live order or inventory data rather than relying on a static knowledge base.
3. 03Respond. A reply is drafted in the brand’s tone of voice and sent, or held for approval depending on the client’s confidence threshold.
4. 04Escalate. Anything outside the agent’s scope disputes, complaints, low-confidence answers is routed to a human with a summary attached.
5. 05Log. Every interaction, resolved or escalated, is logged in the existing Zendesk thread for full visibility.

• Live order and inventory lookups, not static FAQ matching
• Configurable escalation boundary per client
• Brand-tone response drafting
• Full conversation logging inside the existing support platform
• Optional human-approval mode before any reply sends

Shipped as a productized template the intent classifier and escalation rules are configuration, not custom code, so it deploys against a new store’s Shopify and Zendesk accounts in days.

Built to absorb the repetitive share of a support inbox so human agents spend their time on the conversations that need a person judgment calls, upset customers, edge cases the data alone can’t resolve.