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A repair intake and tracking demonstration for service businesses, covering request capture and follow-up ownership with no implied repair-platform integration.
Capability proof, not a client engagement. No measured business outcome is claimed anywhere on this page.
A neighbourhood repair shop handles phones, laptops, and consoles in roughly equal volume, with three technicians each specialising in one class. The demonstration models one shop\u2019s path from a shared intake inbox where a laptop ticket gets picked up by the phone technician, to a per-class intake that names the right technician before a device is bench-tested at all.
In the modelled shop, a laptop ticket gets assigned to whichever technician scrolls past the inbox first. By the time the laptop specialist is reading email, the phone tech has already replied with an estimate based on a different device class. The customer is comparing two quotes from the same shop and trusting neither.
Every repair intake is captured with device class, a short issue description, and the minimum contact detail a technician needs. The intake names the technician who covers that class and starts a diagnosis clock. Stale intakes surface before the customer has walked the device to a competitor, so drift is visible long before it becomes a lost repair.
A customer submits a repair request, capturing device details, a short issue description, and the contact detail a technician needs to reply.
The submission is written to a durable record with consent and source. A follow-up is assigned to the named technician who covers that device class.
The assigned technician receives the intake with device, issue, and any return-window detail. They reply as the person who will bench the device, not as "the shop".
A bench dashboard lists every intake by status. Anything past its diagnosis window surfaces before the customer has decided the device is not worth repairing.
A focused form captures device class, a short issue description, and the minimum contact detail a technician needs. Anything else is opt-in, recorded with consent.
Every intake is assigned to the technician who covers that device class — not to a shared queue. The dashboard shows who owns what and when a diagnosis is due.
Intakes without a diagnosis inside the target window are surfaced automatically. No repair request is left waiting on an unowned inbox.
Submissions land in a structured record with device, issue, and any return-window detail pre-captured. Technicians reply with full context rather than a forwarded email with the serial number missing.
A demonstration that pretends to be more than it is misleads the buyer. These limits are designed in, not missing features.
Until a real repair-platform integration is connected, this is a request-only flow. No repair slot is ever confirmed automatically — the technician confirms it on a reply.
The system never promises a 24-hour turnaround it cannot substantiate. Technicians set the realistic window on the first reply, not in a marketing banner.
The intake does not subscribe the customer to anything they did not ask for. The technician’s first reply is the first — and only — mandatory touch until the customer asks otherwise.
The intake pipeline is a designed demonstration; the repair-platform, parts, and pricing integrations are not connected. There is no measurement of conversion lift, turnaround-time improvement, or revenue recovered \u2014 only that the repair intake routing structure is sound.
No testimonial, metric, benchmark, or provider callback is attached to this work.