◈ LOG.AI.01Planning
Overnight plan generation
The next day’s assignment is drafted before the planners arrive, so the morning is spent adjusting a plan rather than building one.
ORDERS → FLEET → CONSTRAINTS → DRAFT PLAN
Industries / 03
The plan changes at 6am. The system should keep up.
Dispatch is a daily optimisation problem solved on a whiteboard by the person who knows which driver can be trusted with which customer. That knowledge is real, and it is also a single point of failure.
What we build
The operational core.
01
Load planning and assignment
Orders assigned against vehicle capacity, route time, delivery windows, and driver hours, proposed automatically by the system and finalized by the dispatcher.
02
Proof of delivery, offline
Driver app that works with no signal: scan, signature or photo, exception reason, GPS timestamp. Syncs when a signal returns and closes the order.
03
Trip costing
Fuel, toll, driver allowance, maintenance accrual and detention charged to the trip, so per-route profitability is a fact rather than an estimate.
04
Customer and vendor settlement
Automated billing from delivered trips and payable settlement to contracted vehicles, with disputes tied to the delivery evidence.
AI in dispatch
Where it saves real hours.
◈ LOG.AI.02Service
Delay prediction
Flags trips likely to miss their window early enough for someone to call the customer first, which is the difference between a service recovery and a complaint.
PROGRESS → PATTERN → RISK → NOTIFY
Bring us the process that is currently held together by people.
A 45-minute call. Bring the workaround that annoys you most and we will tell you, honestly, whether it is an ERP problem, an integration problem, or something you should not spend money on at all.
See ERP modules