RepairShopr Strawberry

Your AI companion for RepairShopr.

RepairShopr brings customer records, repair tickets, and lead intake into one service operation. Strawberry can trace the story around a selected repair, find missing intake detail, and prepare the next service action with the customer history in view.

A ticket should explain the repair to the next technician.

A short intake note can hide the device, fault, promised timing, and prior diagnosis needed to continue a repair. Review the selected RepairShopr tickets against their customer record so the handoff exposes what is known and what must be clarified.

Separate a repair delay from a communication delay.

A job can be waiting on parts while the customer is still expecting an update, or technically ready while nobody has confirmed the next step. Build a queue that distinguishes the repair state from the message that needs review.

Keep customer history attached to every new request.

Duplicate customer records and incomplete lead information make a simple repair look like a new conversation. Check the visible customer history before preparing an intake or a follow-up, and route ambiguous matches to a person rather than guessing.

Read the service queue before customers start chasing it.

An 08:45 weekday review leaves the desk time to resolve overnight updates and set expectations before the phone queue grows. It should prepare work for the team, not send a status message that ignores an unresolved diagnosis or parts delay.

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Frequently asked questions

Yes. It can examine the selected tickets and connected customer records in the open account, then prepare a prioritised service brief.

Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents