In industries like logistics, retail, e-commerce, and field services, delivering the right product to the right place at the right time is critical — yet increasingly difficult due to traffic, weather, fuel prices, delivery windows, and customer demands.

Solving this challenge leads to higher delivery speed, lower fuel costs, happier customers, and a more sustainable footprint.

The Challenge:

• Traditional routing systems struggle with real-time traffic, multiple constraints, or large-scale delivery grids

• Fuel inefficiencies and route redundancies increase costs

• Complex delivery requirements (e.g., time windows, perishables, remote areas) are hard to optimize

• Manual route planning is slow and prone to errors

Quantum-Inspired Solution

Quantum-Inspired Optimization provides a next-gen solution. By simulating thousands of route combinations simultaneously, it helps companies minimize time, cost, and carbon emissions — even across complex networks.

Advanced Route Optimization with QUBO

HessQ maps delivery problems to the Travelling Salesman Problem and solves it using Quantum-Inspired Optimization to find the most efficient delivery paths.

Adapts to real-time factors like weather, traffic, and delays — avoiding bottlenecks and improving ETAs.

Handles constraints like vehicle load, delivery windows, and time-sensitive packages, delivering optimal routes across complex networks.

Real-Time Dynamic Recalculation

Multi-Constraint Planning

The Results:

• 25–40% reduction in delivery time

• 15–30% savings on fuel and logistics cost

• +98% on-time delivery rate with dynamic routing

• Reduced carbon footprint through optimal planning