AI Solutions
for Consumer Goods

AI, quantum techniques and other Big ComputeTM promise to deliver new efficiencies in quality control, manufacturing processes, and inventory optimization. Looking at the impact on manufacturing-related costs alone, McKinsey estimates that quantum technology could create $10 billion to $25 billion in value each year.

Use Cases

Applications for Consumer Goods

Supply Chain



Supply Chain



Key Challenges

  • Selecting the best suppliers, manufacturers, and vendors to satisfy multiple objectives
  • Locating facilities to satisfy market demand while minimizing setup and variable costs
  • Reducing costs and delivery times in the supply chain
  • Preventing inventory stock-outs and buffer overflows
  • Minimizing costs and delivery times in distribution networks
  • Mitigating the impact of disruption from irregular operations
  • Accurately predicting market demand and avoiding bullwhips

Zapata Solutions

Consumer Goods Delivery Optimization

Optimize delivery routing to reduce costs and shorten delivery times using quantum-enhanced prescriptive analytics.

Supply Chain Design Optimization

Identify suppliers, distributors, vendors, and facility locations optimized for product quality, costs, delivery times, and demand coverage using GEO.

Inventory Optimization

Prevent overflows and stock-outs by optimizing stocks of raw materials and finished products using quantum or quantum-inspired prescriptive analytics.

Disruption Management

Re-route vehicles and adjust workforce schedules to react quickly to disruptions caused by irregular operations (IROPs) using quantum-enhanced optimization techniques.

Market Demand Forecasting

Model market demand to reduce inventory stock-outs and support production scheduling using quantum-enhanced machine learning techniques.

Use Case Timeline (est.)

Orquestra® Benefits for Consumer Goods


Leverage the heterogenous 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.

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