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ROUTE OPTIMIZATION

Routes that learn, adapt, and deliver, every single day.

Multi-stop route planning with real-time dynamic optimisation. AI that accounts for traffic, delivery windows, vehicle capacity, and driver preferences.

The Problem

Static routes in a dynamic world cost you every day.

Route plan · Mon 06:00Fixed / static
TRFTraffic on the I-90 corridorNo reroute
NEW14 new stops added todayNot in plan
ADR3 delivery addresses changedMissed
DMDDemand up 18% in Zone 4Overloaded
Empty miles this run40
Same route, two driversUndocumented
Shortcuts, parking spots and gate codes live only in their heads
Veteran · route done6.2 hrs
New hire · same route8.5 hrs
Slower on every route after they leave▲ +0%
Planning across disconnected toolsHours per run
Order sheet
312 stops
?
Map tool
by hand
?
Dispatch
28 vans
Every run re-planned by hand across three tools — hours gone before the first van moves.

From static routes → to living, learning route intelligence.

The Solution

AI-powered route planning and execution

Shipsy's routing engine combines machine learning with operational constraints to generate optimal routes in minutes, not hours.

Micro-clustering
Route intelligence map

POWERED BY AGENTFLEET

Route optimisation, amplified by AI agents.

Ops Agent handles real-time route adjustments and driver navigation. CT Agent monitors fleet-wide performance and rebalances workloads automatically.

Learn about AgentFleet →
Ops Agent

Real-time re-routing · Turn-by-turn navigation · Stop sequencing

Ops Agent
Signal
Jurong West overloaded — 5 routes at risk
Ops Agent
Detects the imbalance
Ops Agent
Rebalances 5 sub-zones
Ops Agent
Reallocates pickups to a nearby vehicle
Done
Hub notified · capacity restored

Proven Results

The results enterprises see

20%+
Distance reduction
Fewer kilometres driven per route
15%
More stops per route
Denser, smarter route clusters
35%
Fewer address failures
AI address correction and geocoding
45-50%
Faster new driver onboarding
Captured tribal knowledge from day one
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See it in action

Brochure

Micro-Cluster Route Optimization

Post Luxembourg · Signature AI · Route Optimization

$5M+/yr operational savings 90%+ delivery-window adherence 30%→90% on-time windows
Read the brochure

FAQ

Common questions

How does microcluster routing differ from standard routing?

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.

Can routes re-optimise mid-day?

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.

How does territory optimisation work?

AI analyses historical delivery demand, driver capacity, and geographic patterns to create balanced zones. Zones rebalance daily to ensure equitable workloads and pay.

What constraints does the route engine consider?

Vehicle capacity, delivery windows, driver skills, traffic patterns, customer preferences, fuel costs, and 100+ additional configurable constraints.

Act on decisions.
Amplify outcomes.

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.

Talk to Shipsy