AI for Logistics, Smarter Routes, Predictive Operations, Zero Surprises
From AI-powered route optimisation to supply chain disruption prediction, we build systems that keep your operations running ahead of problems.
What's Holding Logistics & Supply Chain Back from AI
Suboptimal Route Planning
Manual or rules-based route planning can't account for real-time variables, traffic, weather, vehicle capacity, time windows, leaving significant efficiency on the table.
Supply Chain Disruption Blindness
Supply chain disruptions, supplier delays, port congestion, material shortages, are often discovered too late to respond effectively, causing cascading operational failures.
Last-Mile Delivery Costs
Last-mile delivery accounts for 40–55% of total logistics cost. Without intelligent optimisation, failed deliveries and inefficient routing compound the problem at scale.
AI Use Cases for Logistics & Supply Chain
Dynamic Route Optimisation
Optimises delivery routes in real time using traffic data, time windows, vehicle constraints, and driver availability. Re-routes automatically when conditions change.
Supply Chain Risk Intelligence
Monitoring agent that tracks supplier performance, geopolitical signals, and logistics bottlenecks, surfacing disruption risks 2–4 weeks before they impact your operations.
Last-Mile Intelligence Platform
End-to-end visibility and optimisation system for last-mile operations, predicts failed deliveries, optimises attempt scheduling, and automates customer communication.
What This Looks Like in Practice
The Challenge
A 3PL managing 2,000 deliveries/day across 3 cities with manual route planning, fuel costs 18% above industry benchmark, failed delivery rate at 12%.
The Result
AI route optimisation reduced fuel costs by 22%. Failed delivery rate dropped to 4.5% within 8 weeks of deployment.
Tell us what you want to build.
We'll scope it in a call and tell you what we can ship and when.