AI agents for auto dealer and repair shop operations

A car is booked in, the technician starts the brake job, and only then does the counter find the pads are backordered, so the bay sits blocked and the customer is told it will be tomorrow while someone rings three distributors.

→An agent checks every repair order's parts against stock and the supplier portals before the first clock-on, flags the shortfall with an alternative ETA, and drafts the order for the parts counter to approve.

The bay board lives on a whiteboard, the DMS shows something different, and the foreman walks the floor mid-afternoon just to learn which cars are waiting on approval, parts, or the body shop.

→An agent builds the board each morning from the open repair orders, refreshes it at midday, and lists every job that is stalled and why, so the foreman reads one list instead of walking the shop.

Trade-ins and auction buys drift through recon because nobody owns the whole queue, and a car that should be frontline ready on Thursday is still waiting on a detail slot the following Tuesday.

→An agent tracks every unit's recon stage against its target days, drafts the chase to the detailer or body shop, and gives the used car manager a list of what is late and what it needs.

Open recalls and warranty part returns hide in paperwork: a campaign is missed at drop-off, a core credit lapses, and a manufacturer return tag is filled in from memory a week after the claim.

→An agent checks each VIN against open recalls at booking, tracks every core and warranty part to its return deadline, and prepares the return paperwork for a person to sign off before it ships.