Every trailer ships with clean title paperwork
Prepares the MCO, weight certificate and invoice for each finished trailer, checks the VIN and ship-to and sends the packet to dealer and lender at ship.
One wrong digit holds a sale for weeks.
Each trailer needs an MCO, weight cert, invoice and sometimes floor plan documents. They are typed from different screens, often by one person at the end of the day. A VIN typo or wrong dealer name means reissuing forms and an angry dealer who cannot sell the unit.
Twenty-two trailers ship Friday. The MCO for one has a VIN typo, two invoices list the wrong dealer, and the dealer cannot register the units for two weeks.
MCO and title paperwork, step by step.
The agent does the work inside your systems. Your team approves what matters.
- 1
Collect the details
Pulls VIN, GVWR, axle count, weights and ship-to dealer from the order and scale ticket.
- 2
Check the packet
Validates the VIN check digit and matches dealer, price and floor plan lender across every form.
- 3
Send on ship day
Assembles the packet for signature, then sends it to the dealer and lender when the unit leaves.
Your team keeps the judgment calls.
The agent takes the repetitive work. People approve, decide and talk to customers.
- VIN errors caught before printing
- Dealers can register units on arrival
- Floor plan lenders notified on time
Works inside the systems you already run
Before you ask.
Prepares the MCO, weight certificate and invoice for each finished trailer, checks the VIN and ship-to and sends the packet to dealer and lender at ship. It works in three steps: collect the details, check the packet and send on ship day.
It works inside the tools your team already uses, including ERP, scale tickets, floor plan lender portal 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.
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Start with one agent.
Pick the workflow that hurts most. We'll scope it on the first call.