Operational intelligence for reliable logistics
Logistics operators run fleets, depots and warehouses that cannot stop. AI Grid turns the data they already collect into foresight, so problems surface before they reach customers.
It works alongside the systems your fleet, warehouse and planning teams already use, and every forecast comes with a plain reading of what is driving it.
Why problems arrive without warning
Operators track vehicles, warehouse equipment, stock and labour in separate systems, and each one records what has already happened. The problem is rarely a lack of data. It is a lack of foresight.
A refrigerated trailer that has been running warm for weeks shows up first as a rejected delivery. A sorter that has been slowing shows up as a missed cut-off. By the time either reaches a report, the choice left is how to respond, not how to prevent it.
AI Grid reads the records your teams already keep and forecasts where they are heading, so fleet, warehouse and finance teams can plan work while there is still time to plan it.
How predictive analytics helps
AI Grid layers analytics over the systems you already run, turning operational data into early warning.
Vehicles and handling equipment run until they fail between services, and the first warning is a driver reporting it.
The workshop backlog is worked in the order jobs were raised, so risk and date are treated as the same thing.
Depot capacity is planned from last year's peak, and the pressure shows up as missed slots and overtime.
Surface the drift in telematics and equipment data that precedes a fault, so repairs are scheduled rather than scrambled.
Rank the backlog by its effect on routes and throughput instead of by date raised.
Forecast volume and capacity by site, so labour and space are planned before the peak arrives.
What we forecast for logistics teams
Each forecast comes with a written explanation, and any of them can go straight into a report.
Vehicle downtime
Hours off the road, forecast by vehicle type and depot.
Maintenance backlog
Open workshop jobs ranked by risk, with the date each is likely to become urgent.
Depot throughput
Volume forecast against season and demand, so capacity pressure shows up early.
Anything else you record
If your teams already keep it, it can be forecast the same way.
Tell us what you measure
Why logistics teams work with us
- Works with your existing systems.
- We layer over telematics, WMS and fleet maintenance systems rather than asking you to replace them.
- Built for operations that do not stop.
- Work is planned around routes and shifts, rather than taking assets out when they fail.
- Every forecast explained.
- Each forecast says what is driving it, so planners can act on it and defend the decision.
Frequently asked questions
No. AI Grid reads from those systems and makes their data actionable. You keep the systems of record you already have.
Typically vehicle and asset registers, maintenance history and telematics. We can begin with less and improve as more becomes available.
Early warnings usually emerge within the first reporting cycle, once there is enough history to establish a baseline.
See what your data does next.
The first dashboard is one we build with you, from the spreadsheets you already keep.