Inbound chassis tracked to their body orders
Links each incoming OEM chassis VIN to its body order, chases slipped ship dates with the dealer and checks in arrivals from yard scans for planning.
The chassis is the part you do not control.
Ship dates live in OEM portals, dealer emails and driveaway texts. Someone has to match each VIN to a body order, notice when a date slips, and walk the yard to find what showed up. When that slips, the line sits or builds out of order.
Twelve cab chassis are due for a municipal order next week. Three have no ship date, one arrived Monday and sat unscanned by the back fence, and the line is about to start a body with nothing to mount it on.
Chassis arrival tracking, step by step.
The agent does the work inside your systems. Your team approves what matters.
- 1
Match VIN to order
Links each incoming chassis VIN to its body order and planned build date.
- 2
Chase the dates
Checks the OEM portal daily and emails the dealer when a ship date is missing or slips.
- 3
Check in arrivals
Logs arrivals from the yard scan, notes damage photos and tells planning the unit is ready.
Your team keeps the judgment calls.
The agent takes the repetitive work. People approve, decide and talk to customers.
- Late chassis flagged before the line needs them
- Yard arrivals checked in by VIN
- Planners resequence before the line stops
Works inside the systems you already run
Before you ask.
Links each incoming OEM chassis VIN to its body order, chases slipped ship dates with the dealer and checks in arrivals from yard scans for planning. It works in three steps: match VIN to order, chase the dates and check in arrivals.
It works inside the tools your team already uses, including OEM order portal, ERP, yard scanner 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.