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.

Request a Demo See it in action

20%+ Distance reduction

15% More stops per route

9% Better slot adherence

Live Agent Activity

Astra re-sequenced 12 stops across 4 routes — traffic on A10 avoided

Atlas balanced workloads across 28 drivers — zero overloaded

ML model updated route clusters with 3 weeks of new delivery data

The Problem

Static routes in a dynamic world cost you every day.

Routes ignore reality

Fixed routes designed once and run forever. Traffic changes, demand shifts, new addresses appear — but routes stay the same, bleeding time and fuel.

Tribal knowledge walks out the door

Your best drivers know the shortcuts, the parking spots, the building codes. When they leave, that knowledge goes with them.

Planning takes hours, not minutes

Manual route creation for hundreds of stops across dozens of vehicles. By the time planning is done, conditions have already changed.

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.

🧠

Microcluster Routing

AI generates micro-cluster routes from historical patterns and driver-preferred areas. Drivers validate and refine — permanently capturing tribal knowledge.

⚡

Dynamic Re-Optimisation

Routes adjust in real time based on traffic, weather, cancellations, and new orders. No manual re-planning required.

📊

Territory Optimisation

Data-driven zone creation using historical demand and driver capacity. Zones auto-rebalance daily for equitable workloads.

Route optimisation, amplified by AI agents.

Astra handles real-time route adjustments and driver navigation. Atlas monitors fleet-wide performance and rebalances workloads automatically.

Learn about AgentFleet →

Astra

DRIVER ASSIST

Real-time re-routingTurn-by-turn navigationStop sequencing

Atlas

FLEET COMMANDER

Territory balancingCapacity planningSLA monitoring

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

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.