Vehicle Logistics
The yard is congesting, and the next move sets up the next hour.
The decision
Vehicles are stacking in the yard — inbound to stage, ready-for-load to move, finished to ship. Space is tight, one lane is blocked, and a priority load is due out. What moves next?
Why it's hard today
Move the wrong vehicle and you deadlock a lane or delay the priority departure. Sequencing depends on positions, destinations, space, and priority — a live puzzle that changes with every move.
Your yard system shows where vehicles are; it doesn't sequence the next moves to clear congestion and hit the priority departure. It shows a map, not the next move.
What AgentForgeOS does
It assembles the picture you can't see, and makes the call under your rules.
Clear the blocking unit, move the priority load out, and restage the rest into the open slot — keeping the departure — under your yard policy.
- Vehicle positions and states
- Destinations and priority
- Available space and blocked lanes
- Priority departure deadlines
- Mover availability
- Priority-departure protection
- Safe-sequencing rules
- Space constraints
- Mover-allocation limits
⚠ Yard congesting — priority load due out in 35 min
Evidence assembled
- Lane B blocked by a staged unit
- Priority load behind two finished vehicles
- One open staging slot
- Two movers available
Recommendation · clear lane B, move priority out, restage in slot
Policy: priority departure protected · safe sequencing · awaiting yard lead
What improves
- Priority departures kept
- Congestion cleared faster
- Fewer deadlocked lanes
Each sequence and how the yard actually flowed is kept, so the model learns this yard's real congestion patterns by shift and volume.
Underneath, this is the same operating model the rest of the platform runs: verified context is assembled, options are weighed and adversarially challenged, the decision is governed by your policy, and the outcome is learned. The decision changes from one of these to the next. The architecture does not.
See how it worksThis is exactly how your team works today.
Only now the decision is assembled, governed, and remembered — instead of made from memory and lost.