Operations watchdog for garages and car dealerships
A repair order open for eight days, a backordered part blocking a promised handover, a courtesy car never returned: in a garage, these drifts surface when the customer gets angry. The watchdog spots them while there is still time.
In your day-to-day
- 01
Alert when a repair order exceeds the date promised to the customer, before they call.
- 02
Detection of backordered parts threatening a dated handover, with the supplier chase prepared and the customer notified if you authorise it.
- 03
Flagging of courtesy cars out beyond the agreed duration and of completed repair orders whose vehicle is still on the lot.
A typical scenario
Thirty vehicles in progress across mechanics and bodywork, handovers promised “for Friday” — and a whiteboard that no longer keeps up.
- 01
The insurance approval awaited for six days on a bodyshop vehicle still is not there: assessor chase drafted, customer notified if you allow it.
- 02
A repair order has been sleeping in “awaiting customer” for 48 hours — the additional estimate was never sent. Caught before the vehicle loses its week.
- 03
5:15 PM: a part critical to a Friday handover was never ordered, and the supplier closes at 6. The alert lands while 45 minutes remain.
What changes
The whiteboard becomes permanently accurate. Handover promises rest on the real state of parts, approvals and lifts — not on the workshop manager’s memory.
Order of magnitude
Working assumptions
- →thirty vehicles in progress, of which about 5 files a week drift — part, assessment, approval
- →1 to 2 extra days of immobilisation per drift discovered late
Catching those files the same day rather than at the weekly review frees in the order of 5 to 10 vehicle-days a week — space on the lifts, and customers called before they get angry.
Indicative estimate built on average sector assumptions — it gets recalibrated on your actual volumes during scoping.
What eats your days
- →
The phone rings all day for vehicle status — and every answer means checking the DMS or disturbing the workshop.
- →
Repair orders stay open because of a backordered part or a pending insurance approval, and nobody has time to chase the supplier or the assessor.
- →
Invoices to companies, fleets and insurers slip week after week because collection comes after the workshop.
How it works
- 1
Continuous watch over your flows
Stock, orders, deliveries, payments, queues, systems: the watchdog reads your tools continuously and learns each flow’s normal behaviour.
- 2
Signal, not noise
A seasonal variation is not an anomaly. The watchdog qualifies each gap — normal, watch, incident — and only alerts when action is useful. That triage is what keeps alerts trusted.
- 3
The right person, with context
The alert reaches the person who can act, with the diagnosis: what, since when, how big, and first leads. Escalation is automatic if nobody acknowledges.
Typical results
4 min
from anomaly to alert, observed in production
24/7
watching, nights and weekends included
÷10
alert volume, thanks to signal/noise triage
Orders of magnitude observed in production; your diagnostic sets your own baseline and targets.
Frequently asked questions
Can the watchdog warn the customer of a delay before they notice?+
If you authorise it: on a qualified delay — backordered part, pending assessment — it notifies the customer with the new estimated date. An informed customer rarely calls back; a surprised one always does.
What data does it work from — DMS, workshop diary?+
The DMS first — repair-order statuses, parts orders, appointments — crossed with the workshop diary where separate. Without integration, it uses existing exports and reports.
Is this the problem eating your team’s time?
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