AI Solutions
for Consumer Goods

AI, quantum techniques and other Big Compute^TM 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.

Featured Use Case

Digital Advertising Optimization

Challenge

Approach

Digital Advertising, whether on publisher websites, search engines, streaming platforms, or social media, is one of the primary ways brands raise awareness for their products today. Most online advertising is done programmatically with real-time bidding (RTB), where advertisers bid on consumer impressions in real-time with the goal of maximizing clickthrough rates (CTR). However, advertisers also need to pace their advertising spend to reach as wide of an audience as they can with their budget. Advertisers are challenged to balance spending more for high-value impressions that are likely to result in a clickthrough with maximizing audience reach with their limited budget.

Use Cases

Applications for Consumer Goods

Supply Chain

Manufacturing

Marketing

Supply Chain

Manufacturing

Marketing

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.

Key Challenges

Reducing waste and downtime in manufacturing processes
Timing maintenance of reactors and other production equipment
Optimizing workforce scheduling to minimize labor costs while still satisfying market demand
Ensuring accurate and precise quality control

Zapata Solutions

Manufacturing Process Optimization

Optimize the design of factories, employee schedules, and machine processes using quantum or quantum-inspired prescriptive analytics to enhance efficiency.

Quality Control

Improve anomaly detection algorithms used for quality control by augmenting training data with synthetic data generated by quantum-enhanced generative models.

Predictive Maintenance

Proactively predict maintenance needs for factory machinery by leveraging quantum or quantum-inspired classifier algorithms.

Key Challenges

Targeting promotions, ads, and product suggestions to appropriate customer segments
Prioritizing service for high-maintenance customers
Accelerating the creation of product designs and marketing content

Zapata Solutions

Customer Management

Analyze customer data with quantum machine learning to predict issues or complaints, target marketing promotions and product suggestions, and triage customer service.

Advertising Optimization

Optimize ad targeting to reach consumers most likely to be in the market for different products using generator-enhanced optimization (GEO).

Generative AI Content Creation

Apply quantum-enhanced generative AI to assist in generating new visual designs and marketing content tailored for specific audiences.

Use Case Timeline (est.)

Featured Case Study

Top 5 Food & Beverage Company

An international beverage distributor wanted to optimize their distribution network in a territory worth $5.5B in annual revenue. Doing so would increase revenue, decrease fuel costs, and shrink the company’s carbon footprint — but with 700,000 vending machines to service, the underlying operations were extremely complex.

To support faster, more efficient daily routing computations, Zapata helped upgrade the company’s delivery operations using Orquestra®. As a result, the company was able to open operations ~45 minutes earlier each day, saving time and money.

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Orquestra^® Benefits for Consumer Goods

Orchestration

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.

AI Solutions for Consumer Goods

Digital Advertising Optimization

Challenge

Approach

Applications for Consumer Goods

Use Case Timeline (est.)

Top 5 Food & Beverage Company

Orquestra® Benefits for Consumer Goods

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AI Solutions
for Consumer Goods

Orquestra^® Benefits for Consumer Goods