Enterprise Quantum
for Logistics & Shipping

Quantum computing is poised to transform supply chain and routing optimization, scheduling, and disruption management. With increased efficiency, even a 5-10% overall reduction in supply chain costs would amount to $18 billion to $35 billion annually, according to McKinsey.

Use Cases

A selection of logistics and shipping quantum use cases.


Machine Learning



  • Disruption management by optimized traffic re-routing
  • Supply chain optimization
  • Workforce optimization and scheduling
  • Fuel/energy optimization
  • Optimization (recycling, reuse, disposal, recalls)

Machine Learning

Machine Learning

  • Irregular operation (IROP) prediction
  • Modeling market demand for replenishment

Featured Resources

Our Platform

Orquestra® Benefits for Logistics and Shipping


Leverage the quantum and other heterogenous classical compute resources best suited for your tasks, without getting locked into any one hardware platform. Deploy across hybrid backends at enterprise scale.

Data Management & Velocity

Store, retrieve, and analyze large datasets. Streamline data management from ingestion to export to accelerate data velocity.

Open Framework

Keep what works now. Integrate existing and future solutions with a framework optimized for extensibility, interoperability, and innovation.

Workflow Development and Deployment

One unified platform to go from research to development to deployment with extensible, scalable, modular workflows.

Sign up for Zapata's Newsletter

Receive product updates, latest research and other news.

Request a briefing with our experts.