Optimization at a scale traditional solvers cannot reach

Most transportation optimization engines were designed for batch planning on CPU-based architectures. As transport networks grow in size and volatility, this forces a compromise between speed, solution quality, and responsiveness.

Chora removes that compromise.

Built on GPU architecture, Chora parallelizes optimization at a scale traditional solvers cannot, delivering faster, higher-quality results under real-world constraints.

• GPU-powered by design – built for massive parallel optimization, not sequential processing
• Seconds, not hours – supports frequent re-planning as conditions change
• Enterprise scale – handles large problem sizes without simplifying constraints
• Designed for execution – optimization that works within real operational time frames

• Fewer vehicles required
• Reduced distance and fuel consumption
• Improved vehicle utilization
• Faster planning and dispatch cycles
• Practical real-time re-optimization

Chora is deployed in live customer environments and bench-marked against leading commercial solvers, demonstrating significantly faster solve times and higher-quality solutions under real-world conditions.

Full bench-marking details are available in the Chora White Paper.

Chora is designed for organizations where planning speed, scale, and solution quality directly impact service levels and cost — including large shippers, retailers, and logistics service providers managing complex or mixed-fleet operations.