Use Cases/Logistics

Logistics

Every extra mile is money burned.

Delivery routing is a combinatorial explosion. 6 stops = 720 possible routes. 10 stops = 3.6 million. Classical solvers guess. TARX Quantum Engine finds the optimal path.

The Cost of Bad Routing

$12K

wasted fuel per year (avg fleet)

30%

of delivery cost is routing

3.6M

possible routes for 10 stops

Last-mile delivery companies burn 20-30% of their costs on suboptimal routes. Classical heuristics find 'good enough' solutions but leave money on the table as stop count grows. The problem scales factorially — each new stop multiplies complexity.

QAOA

TARX Optimizer

The Quantum Approximate Optimization Algorithm encodes your route as a cost function and uses quantum interference to cancel out bad routes while amplifying optimal ones. For 6 stops, TARX evaluates all 720 routes simultaneously through superposition.

Live Demo

Optimize a delivery route across 6 warehouse locations.

Try your own logistics problem

Opens Chat → Quantum with optimize solver