All agents

Used trucks moved from recon to frontline

Opens a recon work order for each used truck, chases units stalled on parts or approvals and triggers photos and listing once it is frontline ready.

How it works
The reality

Recon time is lost profit.

Every day a used truck sits in recon costs floorplan interest and depreciation. Work orders stall waiting on parts or shop time, and nobody is watching the whole list.

A trade comes in needing brakes, a DOT inspection and a detail. It sits behind customer work in the shop for 19 days while it could have been listed.
A typical day for used truck centers
How it works

Recon tracking, step by step.

The agent does the work inside your systems. Your team approves what matters.

  1. 1

    Open the recon list

    Creates a recon work order with inspection, repair and detail steps per unit.

  2. 2

    Watch for stalls

    Flags units waiting on parts, approval or shop time past their target.

  3. 3

    Push to frontline

    Alerts the manager when a unit is ready and triggers photos and listing.

What changes

Your team keeps the judgment calls.

The agent takes the repetitive work. People approve, decide and talk to customers.

  • One view of every unit in recon
  • Stalled work orders surfaced daily
  • Less floorplan spent on idle trucks

Works inside the systems you already run

DMSShop managementRecon trackingParts systemEmail
Questions we get

Before you ask.

Opens a recon work order for each used truck, chases units stalled on parts or approvals and triggers photos and listing once it is frontline ready. It works in three steps: open the recon list, watch for stalls and push to frontline.

It works inside the tools your team already uses, including DMS, shop management, parts system and email. Nothing to rip out and nothing new to learn.

It starts in shadow mode, drafting the work for your team to approve or correct. You decide what it handles on its own, and every action is logged.

Your data is used only to run the workflows you approve. We do not use your proprietary data to train public or unrelated AI models.

Get started

Start with one agent.

Pick the workflow that hurts most. We'll scope it on the first call.