Global supply chain routing

Optimal multi-modal routing without disclosing carrier rates, supplier locations, or route economics.

Who

A multinational manufacturer or distributor with a multi-modal logistics network (air, sea, road, rail) spanning multiple regions.

The problem

Optimal routing given variable cost structures, transit-time targets, carrier reliability, tariff exposures, and supplier constraints. Disruption events require rapid re-optimization.

What ArcaQ does

QUBO over route, carrier, and mode combinations with constraints on aggregate transit-time exposure and concentration risk.

Expected result (published benchmarks)

QAOA and quantum-annealing benchmarks for logistics routing at this scale have demonstrated 5–15% reduction in total landed cost in published case studies.

Why confidentiality matters

Carrier rates, supplier locations, and route economics are competitively sensitive and often under NDAs that prohibit disclosure to third-party software vendors. They remain inside attested compute.

Tier fit

Reserve or Grand Reserve.

The performance ranges below are drawn from published academic and industry benchmarks for the relevant problem class — QAOA portfolio-optimization studies, VQE chemistry benchmarks, and quantum-annealing logistics case studies. They are not ArcaQ measurements. Results vary substantially with problem size, constraint density, and the specific algorithm and hardware used. ArcaQ-specific results will be published after hardware validation.