How WhatsApp AI Could Solve the Missed Repair Problem

Published July 17, 2026 · CaratOS

This is a walkthrough of a common situation in jewellery retail, and how CaratOS's WhatsApp AI is designed to handle it — not a report from a specific customer.

The situation

Where this normally goes wrong

Friday comes and goes. The karigar is behind on other work. Nobody at the shop is tracking the promise that was made, because it was never recorded as a trackable thing — it was just a conversation. The customer calls a week later, annoyed, and the staff member who took the ring in isn't even working that shift. Nobody can say with confidence where the ring is or when it'll actually be ready.

How it plays out with WhatsApp AI in the loop

The same counter staff member, instead of just texting the karigar informally, sends a message to the shop's CaratOS WhatsApp number: "Create karigar job for ring repair, due Friday." That single message creates a tracked job — assigned, dated, linked to the customer — without adding a single extra step to what the staff member was already doing.

• The job shows up in the firm's job-work queue with Friday as its due date, not just in someone's memory.
• If Friday arrives and the job isn't marked ready, it's visible as overdue — not silently late.
• When the customer messages a week later asking about their ring, whoever answers can check the actual job status instead of guessing.

What this changes

Nothing about how the customer experiences the shop necessarily has to change — the promise is still made verbally at the counter, the way it always has been. What changes is that the promise becomes a record the moment it's made, using a channel (WhatsApp) staff are already using anyway.