How to forecast depot volumes and fleet demand twelve weeks ahead
Depot congestion and vehicle shortages usually build for weeks first. Here’s how logistics teams forecast volumes and fleet demand from data they already hold.

Key takeaways
- Depot congestion and vehicle shortages rarely come out of nowhere: they build from volume trends, seasonal peaks and fleet availability over several weeks.
- Forecasting volumes by depot and by week lets you plan drivers, shifts, vehicles and agency labour before the peak, not during it.
- Vehicle downtime is part of the forecast: a fleet that’s ageing or overdue for maintenance has less real capacity than the vehicle count suggests.
- Most operators already hold the data in their WMS, TMS, telematics and maintenance systems.
- Start with your busiest depot, and forecast parcels or pallets per week against the vehicles and drivers you’ll have available.
The short answer
You forecast depot and fleet demand by combining volume history with fleet availability. Two years of weekly volumes by depot, plus vehicle maintenance and downtime records, is usually enough to see pinch points twelve weeks out, early enough to book agency staff, hire vehicles or move work between sites.
Why peaks still catch teams out
Most logistics teams know their big peaks are coming. What catches them out is the detail: which depot, which week, and whether there will be enough vehicles on the road when it hits. Volume plans and fleet plans often live in different systems and aren’t joined up until it’s too late.
Two forecasts, joined up
- Volume. Parcels, pallets or drops per depot per week, driven by customer orders, seasonal peaks and promotions.
- Capacity. Vehicles and drivers actually available each week, after planned maintenance, MOTs, breakdowns and holidays.
The gap between the two is where congestion, failed deliveries and expensive last-minute hire come from.
The data you need
- Weekly volumes by depot and customer from your WMS or TMS
- Vehicle maintenance, MOT and breakdown records
- Telematics data such as mileage and fault codes, if you have it
- Driver rosters and agency usage
Where to start
Pick your busiest depot. Forecast its weekly volume for the next twelve weeks, set it against the vehicles and drivers you’ll have, and look for the weeks where the gap opens up.
How AI Grid does it
AI Grid forecasts volumes by depot and week from your existing data, predicts which vehicles are likely to be off the road, and shows where demand will outrun capacity, with the reasons in plain English.
See it on data like yours. Book a 30-minute demo, or read more on our Logistics page.
Pete Asman

