AI for transport, supply chain & logistics
Optimise the routes and schedules of any fleet using AI
There are 620,448,401,733,239,000,000,000 possible routes for just one van to deliver to 24 locations. Our AI solutions help clients optimise thousands of vans making 100,000+ deliveries a day. We also handle the complexity of shift patterns, vehicle capacities, and other real-world constraints. These are problems that can’t be solved manually or by off-the-shelf systems.
Cloud-based AI for transport & logistics that performs at scale
Our solutions are built by a world-class team of optimisation, geospatial, and engineering talent, and use the latest algorithms from academia. We save you money, reduce your environmental impact, and improve your customers’ experience. That’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. You end up with a solution that solves your specific logistic challenge, considering your objectives, rules, constraints, and other moving parts.
Dynamic optimisation
Instead of optimising deliveries in bulk at the end of the day, our solutions adjust the schedule every time an order is made. This maximises the utility of the fleet, and the number of timeslots that can be offered to customers. Delivery slots disappear in seconds if they can’t be fulfilled, greatly improving the customer experience, and ensuring you meet your critical metrics.
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.
AI for transport, supply chain & logistics
Route optimisation for DFS
Satalia helped DFS transform their home delivery offering with last-mile delivery technology.
Increase in fuel efficiency
