AI for Logistics That
Moves Faster Than Disruption
Supply chains break when models cannot adapt. Our logistics AI systems learn from your network — route patterns, demand signals, carrier performance, and disruption histories — and continuously optimise for cost, speed, and resilience, not just efficiency in normal conditions.
AI for Logistics, End to End
End-to-end capability — from strategy and build to integration, monitoring, and ongoing support.
Route Optimisation AI
Reinforcement learning and operations research models for last-mile and long-haul route optimisation — reducing fuel costs by 15–25% while improving on-time delivery rates.
Demand & Inventory Forecasting
Multi-horizon demand forecasting models that optimise inventory positioning across distribution networks — reducing safety stock requirements while maintaining fill rates.
Shipment ETA Prediction
ML models predicting shipment ETA and delay risk in real time — factoring weather, carrier performance, port congestion, and customs patterns to give customers accurate ETAs.
Warehouse Intelligence
AI systems for warehouse slotting optimisation, pick path planning, and demand-driven replenishment — reducing pick travel time and warehouse operating costs.
Supply Chain Risk AI
Predictive risk models monitoring supplier health, geopolitical signals, weather events, and port disruptions — alerting procurement teams before supply chain disruptions hit.
Logistics Document Automation
AI processing bills of lading, customs declarations, PODs, and freight invoices — extracting data, validating compliance, and feeding freight management systems.
Our Engagement Process
A disciplined, outcome-focused approach from first call to go-live.
- 1
Network & Data Assessment
Map your logistics network, data sources (TMS, WMS, carrier APIs), and identify the highest-value AI optimisation opportunities.
- 2
Data Integration & Pipeline Build
Integrate data from TMS, WMS, carrier APIs, and external signals into a unified data platform for model training.
- 3
Model Development & Simulation
Train optimisation models in a simulation environment — validating cost and service level improvements before production deployment.
- 4
System Integration
Connect AI models to your TMS, WMS, and ERP systems — surfacing recommendations and triggering automated actions.
- 5
Continuous Optimisation
Monitor model performance, incorporate new network changes, and continuously retrain as your logistics network evolves.
Tools & Frameworks We Master
A production-tested, vendor-agnostic stack built for enterprise security and compliance requirements.
Optimisation
Forecasting
Systems Integration
Infrastructure
Use Cases by Industry
Production AI systems we have built across regulated, data-heavy industries.
Route Optimisation for Fleet
RL route optimisation for 500-vehicle fleet — 22% fuel cost reduction, 97% on-time delivery rate, $4.2M annual savings.
Shipment ETA AI
ML ETA prediction model across 15 carriers — 91% accuracy on 24-hour ETA, 74% reduction in customer ETA queries.
Warehouse Slotting AI
AI warehouse slotting optimisation — reduced pick travel distance 28%, increased picks-per-hour 23% without additional headcount.
Customs Document Automation
AI processing bills of lading and customs declarations — 99.3% extraction accuracy, $0.80 per document vs $12 manual cost.
Distribution Network Optimisation
Inventory positioning AI across 120-node distribution network — reduced safety stock 18% while maintaining 98.5% fill rate.
Supply Chain Risk Monitoring
Real-time risk monitoring for cold chain logistics — weather, carrier performance, and delay predictions surfaced 72 hours before impact.
What Teams Say After Shipping with Us
Real results from teams who needed AI to work in production, not just in a demo.
AndolaSoft has been a valued partner providing excellent customer service. Issues with clients or troubleshooting are handled in a timely manner and positive resolution is always the outcome.
I got a recommendation on AndolaSoft. They are more than half the cost, they have a can-do attitude, and they are responsive, timely, and easy to work with.
Andolasoft team is very hardworking, dedicated and professional that follows through with their goals. The technical leadership is also a superior value to any other developers.
Frequently Asked Questions
Route optimisation AI solves the Vehicle Routing Problem — assigning and sequencing deliveries across a fleet of vehicles to minimise total cost and time, subject to constraints (vehicle capacity, time windows, driver hours). It goes far beyond standard navigation by optimising the entire fleet simultaneously.
Ready to Optimise Your Logistics with AI?
Tell us your network size, key constraints, and biggest operational challenges. We will identify where AI delivers the fastest ROI in your logistics operations.