Route optimization for distribution at any scale.
DI Optimize plans routes, sequences stops and divides delivery areas for networks from a single depot to an entire country.
Use it through our API, in QGIS, or as part of the DI platform.
Route optimization in collaboration with a world leading research institute
Long term Partnership with SINTEF: Distribution Innovation has an established and ongoing collaboration with SINTEF, one of Europe’s leading research institutes.
Industry Proven Route Optimization: Our routing engine is the result of years of co development with SINTEF Digital and industrial users, ensuring real world relevance and performance.
Integrated into Our Last Mile Platform: The SINTEF routing engine is fully embedded in DI’s SaaS product, powering efficient carrier route planning for the media distribution industry.
Make route planning your competitive advantage
Our powerful route planning solution enables you to have variations in routes and product structures, while still keeping profitability high.
The solution is designed for multiple inputs, such as carrier terminals and apartment details. You can utilize your specific road network and a variety of means of transport.
Enables tighter time windows and more accurate ETAs
Reduces distribution cost related to fuel and time based salaries
Presents the insight and possibilities to lower carbon emissions
Helps combat driver shortage by getting the most out of the existing carrier force
Helps identify your most profitable distribution areas
From a thousand stops to a million points.
The same engine handles a local route plan and a national distribution network. For the largest problems, points are first grouped into balanced clusters and routes are then optimized within each cluster. This keeps solve times practical and gives areas that are easy to operate.
1,000 stops: Daily routes for one depot or a local service area.
50,000 stops: Many vehicles, shifts and time windows across a city or region.
1,000,000 points: Whole countries, divided into balanced areas before routes are built.
Routes that match how deliveries are made.
Each travel mode has its own routing profile built on OpenStreetMap road data, so travel times reflect the streets, paths and restrictions that apply to it.
Car and van: Road network routing for standard delivery vehicles.
Electric vehicles: Separate profile for small electric delivery vehicles and their road access.
Bicycle: Cycle paths and bike friendly streets for bike and cargo bike couriers.
Walking: Footpaths and shortcuts for carriers who deliver on foot.
One engine, several ways to plan.
Vehicle routing: Build routes for a full fleet with capacities, time windows, vehicle types, maximum distance and service times.
Stop sequencing: Find the best order of stops for a single route or a route you already have.
Clustering and area design: Split large point sets into balanced areas by workload, travel time or geography.
Cost based optimization: Optimize for cost per kilometre, per hour and per order instead of distance alone.
Distance and time matrices: Travel time and distance between any set of points, for each travel mode.
Nearest point lookup: Snap addresses to the road network and find the closest reachable point.
API for your systems. QGIS for your planners.
DI Optimize API: Send a problem, follow its progress and fetch the solution. Integrate optimization directly into your own planning or order systems, with API keys and usage tracking per account.
DI Optimize for QGIS: Plan and review routes in QGIS, the open source GIS tool many planners already use. Supports QGIS 3.40 LTR.
Built into DI products: The same optimization runs inside DI Distribution Planning, so route plans flow straight into daily operations and the courier app.
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