Trade appraisals assembled for the used truck manager
Gathers VIN, miles, hours and photos on each trade, decodes the specs, pulls comparable sales and hands the used truck manager an appraisal to approve.
Trades slow down every new truck deal.
Appraisals need VINs, odometer readings, engine hours, tire and brake condition, and photos from every side. Reps send half of it, the used truck manager chases the rest, and by the time a number goes out the customer has shopped it elsewhere.
A rep is sitting with a fleet owner who wants to trade in nine sleepers. The used truck manager is at an auction, and the rep leaves with a promise to call back next week.
Trade appraisal intake, step by step.
The agent does the work inside your systems. Your team approves what matters.
- 1
Gather the unit data
Asks the rep or customer for VIN, miles, hours, photos and known issues by text.
- 2
Pull comparables
Decodes each VIN and finds recent auction and retail sales for similar specs.
- 3
Build the sheet
Drafts an appraisal with recon estimates and sends it to the manager to approve.
Your team keeps the judgment calls.
The agent takes the repetitive work. People approve, decide and talk to customers.
- Complete trade files on every unit
- Managers approve numbers instead of chasing photos
- Fewer deals lost while waiting on a trade value
Works inside the systems you already run
Before you ask.
Gathers VIN, miles, hours and photos on each trade, decodes the specs, pulls comparable sales and hands the used truck manager an appraisal to approve. It works in three steps: gather the unit data, pull comparables and build the sheet.
It works inside the tools your team already uses, including SMS, DMS, VIN decoder, auction data and CRM. 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.
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Start with one agent.
Pick the workflow that hurts most. We'll scope it on the first call.