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←Case studiesAI implementation

A support assistant that reads tickets before your team does

Tickets are sorted by topic and urgency, with a drafted reply ready to approve.

Draft reply · refund requestConfidenceApproveEdit
Client
Online retailer
Timeline
6 weeks
Scope
AI classification, reply drafting

The problem

Refund requests, shipping questions and urgent complaints all landed in one inbox. Replies were slow, and the urgent ones were easy to miss.

What we built

  • Each ticket is labeled by topic and priority as soon as it arrives.
  • The reply is drafted from the customer's order data and the store's policy documents.
  • A person approves or edits every reply, so nothing is sent unseen.
  • Low-confidence drafts are flagged, so staff know where to look closely.
6 hrs → 40 minfirst response time
71%drafts sent with little or no edits
100%replies approved by a person

Built with LLM API, Python, helpdesk API.