ROUTE OPTIMIZATION
Multi-stop route planning with real-time dynamic optimisation. AI that accounts for traffic, delivery windows, vehicle capacity, and driver preferences.
The Problem
From static routes → to living, learning route intelligence.
The Solution
Shipsy's routing engine combines machine learning with operational constraints to generate optimal routes in minutes, not hours.
POWERED BY AGENTFLEET
Ops Agent handles real-time route adjustments and driver navigation. CT Agent monitors fleet-wide performance and rebalances workloads automatically.
Real-time re-routing · Turn-by-turn navigation · Stop sequencing
See it in action
FAQ
Standard routing optimises for distance. Microcluster routing learns from your best drivers, capturing preferred areas, parking spots, building access patterns, and delivery sequences. New drivers inherit this knowledge immediately.
Yes. Shipsy's routing engine re-optimises in real time based on traffic changes, cancellations, new orders, and driver progress. Adjustments push directly to the driver app.
AI analyses historical delivery demand, driver capacity, and geographic patterns to create balanced zones. Zones rebalance daily to ensure equitable workloads and pay.
Vehicle capacity, delivery windows, driver skills, traffic patterns, customer preferences, fuel costs, and 100+ additional configurable constraints.
Logistics is too critical for reactive systems. The world’s leading enterprises are amplifying their teams with AI that acts, so their people can focus on what matters most.