RouteSolver

Yes, our route planning software allows you to measure and reduce your CO2 emissions. RouteSolver uses advanced algorithms to reduce distances traveled and fleet size by improving network design and transportation plans. It also reduces empty spaces through 3D palletization and truck loading optimization. With its holistic approach, RouteSolver ensures sustainable and profitable new systems (e.g. multimodal transport, reverse logistics, resource pooling). You can track and compare CO2 emissions for each transportation plan calculated by RouteSolver and develop an action plan for deploying a zero-emission fleet (see CEVA Logistics case).

Yes, RouteSolver takes road traffic congestion into account using data from our partner HERE Technologies, which leverages flow data to analyze speed and congestion and incident data to identify road closures, collisions, and roadworks (similar to solutions like Waze or Google Maps). The intelligent processing of this data within the solver is critical. RouteSolver has multiple levers to finely manage the impact of traffic and circulation restrictions on the routing plan.

Yes. RouteSolver natively handles routing constraints specific to heavy vehicles: dimensions, tonnage, circulation restrictions (low-emission zones, night bans, restricted lanes), as well as European social regulations on driving hours and mandatory breaks. Route calculations rely on data from our partner HERE Technologies, which covers truck-specific road restrictions across Europe in real time and historical data. RouteSolver has multiple levers to finely manage the impact of traffic, size restrictions and local regulations on the routing plan — going far beyond what consumer routing tools like Google Maps or Waze offer for transport operations.

Yes. RouteSolver lets you save an existing transport plan and simulate alternative configurations in parallel, with zero impact on live operations. You can test opening or closing a depot, changing visit frequencies, simulating volume variations or assessing the impact of a regulatory change — and compare results in terms of costs, kilometers, fleet size and CO2 emissions before making any decision. This simulation capability spans all three planning levels: strategic (fleet sizing, network design), tactical (weekly visibility) and operational (real-time adjustment to disruptions).

Handling multiple decision levels in an all-in-one solver is one of Atoptima’s key differentiations. Our Route&PackSolver tool allows optimizing your palletization and truck/container loading decisions in synergy with vehicle routing decisions. This integrated approach enabled the SAFO Group to reduce its transportation costs by 20% through better filling rates and reduced kilometers (see use case).

There is no minimum fleet size required for using optimization tools. For example, for a catering organization with multiple daily trips and a fleet of <10 vehicles, optimization technologies turned out essential to manage the complexity of their constraints: multi-trips, reverse logistics, multiple time window options… And the ROI was significant. Read more about this project!

Absolutely. Even with predefined routes, our PackSolver module optimizes palletization and 3D truck loading. It eliminates capacity approximations (often leading to empty trips or unshipped goods), enables the selection of the most suitable packaging, prioritizes order lines to be shipped, and leverages flexibility in lead times.

If you outsource the management of your vehicle fleet to one or more logistics providers, RouteSolver is just as relevant, since it not only reduces the overall transportation cost, but also helps you control your environmental impact through better decision-making. In particular, it addresses the complex challenges of consolidating shipments, creating optimal routes, preparing carrier tenders and optimizing 3D truck loading.

Yes. RouteSolver handles both delivery routes and field service routing: technical interventions, after-sales service, home deliveries, collection rounds, and maintenance tours. The solver accounts for constraints specific to these operations: required skills per intervention, strict time windows, variable service times, priority rules and sequential routing. Whatever the type of operation — delivery, collection, intervention or mixed routes — RouteSolver accurately models your business constraints to generate reliable, robust and cost-effective plans.

RouteSolver is designed as a decision-support tool, not a black box. Planners retain control at three levels. At the configuration level: every business constraint (customer priorities, assignment rules, optimization objectives) is fully configurable and adjustable without technical intervention. At the visualization level: routing plans are displayed on an ergonomic interface, allowing planners to visually verify each decision before deployment. At the re-optimization level: planners can manually modify a route, add or remove stops, and trigger a partial recalculation in seconds to handle a field disruption without overturning the entire plan. This approach ensures the solver amplifies planner productivity — it does not replace it.

RouteSolver includes dynamic re-optimization features that allow rescheduling tasks added during deployment or accounting for field contingencies. Besides this “online” optimization, RouteSolver integrates robust optimization models to handle uncertainties. Note that a good upfront optimization, considering all constraints, will require only exceptional readjustments.

Atoptima solvers’ performance is measured by its quality of solution and its calculation times 40x faster than market solvers. The notion of calculation time is linked to scalability. In combinatorial optimization, the difficulty increases exponentially with the problem size. For large datasets, advanced algorithmic strategies are necessary to maintain reasonable calculation times. For a client with 300+ routes, RouteSolver produces optimal solutions in seconds without violating any constraints.

Decision-making AI solvers require the least amount of data. Only data strictly necessary to solve the problem is required: the list of tasks to be done and the resources available to accomplish them.

If your data is incomplete or inaccurate, significant productivity gains can still be achieved at the macroscopic level (with more aggregated data) before refining the model with more and more precise data.

You need a route optimization solver if:
1. You need to assign transport orders to vehicles and drivers.
2. You need to decide how to allocate them optimally.
3. You need to comply with complex constraints while aiming for an objective.

Even if you have some level of automation, how can you ensure your decisions are truly optimized? With billions of possible configurations, only optimization intelligence technologies can provide the optimal solution respecting all your constraints in seconds.

RouteSolver users observe an average 30% reduction in transportation costs and a 20% reduction in GHG emissions. Among its main benefits are:

Reduction of distances traveled and route duration

Reduction of fleet size and empty trips

Increased vehicle filling rates

Automated transportation plan design (time savings, fewer errors)

Reduction of GHG emissions

Smoothing and fair distribution of workload among drivers

Improved quality of service and customer promises

Reliable, resilient solutions, visually verifiable on an ergonomic interface

RouteSolver is designed for carriers, 3PL/4PL providers and shippers (manufacturers, retailers). With RouteSolver and PackSolver, you can accurately model your business constraints and generate reliable, robust and profitable plans in seconds. Thanks to the combination of advanced algorithmic intelligence and high flexibility, our solutions integrate seamlessly into your processes to boost performance, reduce your carbon footprint and improve the productivity of your teams.

RouteSolver’s time-to-value is particularly fast. You can import a first dataset (CSV or JSON) and get an optimized routing plan in minutes, with no prior technical integration required. For an API integration into an existing TMS or ERP, the timeline depends on the complexity of data exchanges and your technical environment — our teams support each client through this phase. The criticality of decisions handled by an optimization solver and the agility of a SaaS model lead to a fast ROI: our clients typically see a 20% reduction in transportation costs within the first weeks of use.