Predictim Routing
Predictim Routing is an enterprise fleet dispatch platform, available as both a SaaS dispatcher interface and developer API. Drawing on decades of operations research advances in vehicle routing — developed through active academic and industrial partnerships — it computes optimal multi-stop routes across heterogeneous fleets in real time, adapting continuously to live traffic, delivery-window constraints, and sustainability targets.
* Design targets, not measured client results.
What this platform does
Each capability is a deployed module — not a feature on a roadmap. Engagements typically begin with a 4-week scoping exercise to confirm fit against your operational data and constraints.
Real-time dynamic routing matrices
Routes update continuously as orders are added, cancelled, or rescheduled — without forcing dispatchers to rebuild plans from scratch.
Multi-stop fleet path planning
Heterogeneous fleets, mixed vehicle types, and driver skill constraints are all respected. The solver picks the right vehicle for the right job.
Dynamic window constraints
Hard customer-delivery windows, driver-hour regulations, and depot opening hours are enforced as constraints — never as soft penalties that quietly degrade plans.
Traffic-adaptive mathematical modeling
Routes adapt to live and predicted traffic conditions, with re-optimisation triggered automatically when projected delay exceeds tolerance.
Emissions reductions & middle-to-last-mile distribution
CO₂ is tracked per kilometre and per delivery, enabling networks to meet sustainable mobility targets without sacrificing service.
Related reading
Time Windows: The Constraint That Quietly Breaks Last-Mile Plans
Most last-mile routes look efficient on a map. What makes them fail in practice is usually not distance but time windows — and how a single late stop pushes every later promise out of reach.
ReadTransport and Logistics Mobility Management: Unifying Fleet, Route, and Modal Decisions
Fleet management, route optimization, and modal choice are usually run as three separate decisions made by three separate teams — which is exactly why the network keeps finding costs none of the three could see alone.
ReadDelivery Capacity Analytics: Matching Available Capacity to Demand in Real Time
Most fleets don't run out of capacity — they run out of visibility into the capacity they already have. Delivery capacity analytics closes that gap by scoring, not just counting, what's available right now.
ReadHow a pilot works
- Timeline
- 4-week scoping
- You provide
- A sample of orders, vehicles and depots
- We provide
- A fit assessment on your data and a pilot proposal
- Cost
- Quoted after a free scoping call
Ready to deploy Predictim Routing?
Request API access, or talk to our engineering team about integrating this into your existing operations.
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