Optimising Routing for Food Distribution

Food distribution must handle complex routing, tight time windows as well as perishability and rising sustainability demands. This makes efficient route planning difficult and often computationally intractable for classical methods.

Quantum optimisation techniques like the Quantum Approximate Optimisation Algorithm (QAOA), could encode routing, freshness constraints and emissions into a single model and search many feasible options simultaneously, offering a new way to tackle these hard logistics problems.

This innovation could maximise the probability of delivering products before they expire, significantly reducing product loss and environmental pollution from refrigerated vehicles, while lowering overall transport costs