AI for transport, supply & logistics
Optimise any fleet's routes and schedules with Satalia's AI - from first mile to last
There are 620 sextillion possible routes for just one van delivering to 24 locations. Trying them all would take over 10 million times the age of the universe. Problems like these can’t be solved manually, or with off-the-shelf software. That's why Satalia’s AI solutions for transport, logistics and supply chain solve problems like these — and far more... Our technology helps clients optimise thousands of vans making hundreds of thousands of deliveries a day. It accounts for complex shift patterns, vehicle capacities, and a wealth of other dynamic real-world constraints — all in real time...
Cloud-based AI for transport & logistics that performs at scale
Delighted customers. Happier drivers. A healthier planet. All from exponentially-improved efficiency. Satalia’s AI routing solutions are built with all of this in mind.
Built by a world-class team of optimisation, geospatial, and engineering talent, our systems and algorithms leverage the latest from AI academia. We’ll save you money, reduce your environmental impact, help you retain drivers, and crucially, improve your customer experience. It’s why we’re trusted by the likes of DFS, Tesco, and Woolworths.
Our solutions are more effective than off-the-shelf packages and cheaper than custom-built software because we combine the best of both. We use our established asset libraries and core components, then customise or build new functionality as needed – whatever it takes to get you the optimal result in a cost-effective way. You end up with a solution that solves your specific logistical challenges by building in your objectives, rules, constraints, and operational moving parts.
Dynamic optimisation
Our solutions adjust the schedule every time an order is made. This maximises fleet utility, and choice of timeslots offered to customers greatly —improving customer experience.
Real-world constraints
Satalia’s solutions account for shift patterns, travel speeds, vehicle capacity, vehicle types, order weight, time-at-door, volumetrics, and more. We rapidly develop custom constraints to solve 100% of your problem.
Time-at-door analysis
Using product, telematics, and building data, we can predict accurate time-at-door, improving schedule accuracy and efficiency.
Shift pattern optimisation
We predict shift patterns to better match supply with demand – improving employee satisfaction.
Demand forecasting
Using historical data, we predict demand for each location – enabling improved pricing and staffing decisions.
Slot cost prediction
Combining environmental and other data sources with demand prediction, we project slot costs which can drive customer behaviour to even out loading.
Supplier reliability
Better predict when products will enter the warehouse – so you can optimise throughput and onward distribution.
Real time tracking
Using real-time route information, adaptive machine learning compares actual versus planned trips – improving compliance and decision-making.
Related case study
Case study
Last mile route optimisation for DFS
Satalia helped DFS transform their home delivery offering with last-mile delivery technology. 18% increase in fuel efficiency.
Case study
Smarter middle mile routing for Tesco
Satalia designed Tesco a bespoke optimisation solution that substantially improved middle-mile freight operations, reinventing how their groceries move. saving miles, money, and emissions across the UK and beyond.
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