Q-ROAD application

Q-ROAD radically transforms the management of vehicle touring problems, harnessing the power of quantum computing to deliver faster, more efficient and more sustainable solutions.

At a time when e-commerce is growing exponentially, and consumers are demanding flexible, environmentally-friendly delivery options, Q-ROAD meets a crucial market need. Faced with the growing complexity of supply chains and the imperative to reduce the carbon footprint of goods transportation, our application offers an innovative approach to optimizing delivery rounds. Q-ROAD enables retailers to instantly offer their customers multiple delivery options, taking into account multiple criteria such as speed, cost and environmental impact. Thanks to its advanced quantum algorithms, Q-ROAD can handle a large number of variables and constraints simultaneously, offering optimal solutions in real time.

Q-ROAD offers many advantages

Multidimensional optimization

Q-Road takes into account a multitude of factors such as delivery time windows, vehicle capacities, loading and unloading times, legal labor constraints, and much more.

Fast calculation

Q-Road can explore numerous tour configurations simultaneously, considerably speeding up the optimization process.

Flexibility and adaptability

The module adapts in real time to changing conditions, enabling dynamic tour planning.

Reducing carbon footprint

By optimizing routes and promoting eco-responsible delivery options, Q-Road contributes directly to reducing transport-related_CO2 emissions.

Improving customer satisfaction

By offering transparent, personalized choices, Q-Road enables customers to make informed decisions, enhancing their shopping experience.

Examples of use cases for our Q-ROAD quantum module

Optimizing deliveries

A distribution company wishes to schedule deliveries to its
customers for a fleet of vehicles while minimizing costs and/or
emissions.

Detail

Q-ROAD identifies the optimum order of visits for each driver, taking into account constraints such as vehicle characteristics, parcel unloading time, customer availability slots and work regulations.

Advantage: Q-ROAD can tackle optimization problems involving a higher number of vehicles and deliveries than is currently possible with conventional algorithms.

Optimize maintenance rounds

An energy distribution company wants to plan maintenance rounds for its power lines, while minimizing travel-related costs and/or emissions.

Detail

Q-ROAD allows you to find the inspection sequences that minimize the chosen size. These processes are carried out taking into account constraints such as the technical characteristics of the resources used, the planned duration of the inspection, and any visit priorities.

Benefit: By offering more advantageous computational complexity, Q-ROAD opens up the possibility of dealing with problems involving more sites and resources, while incorporating more complex constraints.

Optimizing business travel

A company wants to optimize the travel of its sales team, reducing costs, time and/or the ecological footprint.

Detail

Q-ROAD enables us to find the optimum number of visits per day for each agent, and to minimize the chosen size, while taking into account constraints such as customer priorities and availability, as well as the sales potential associated with each visit.

Benefit: By enabling more complex problems to be tackled, Q-ROAD improves the efficiency of these missions, while at the same time increasing customer satisfaction. What's more, itineraries can be quickly adjusted in response to unforeseen circumstances.