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.
Digital Advertising Optimization
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.
The challenge of allocating ad spending to maximize CTRs and audience reach can be thought of as a complex combinatorial optimization problem. Zapata has several classical, quantum, or quantum-inspired approaches to solving such problems, including Generator-Enhanced Optimization (GEO). In GEO, quantum or quantum-inspired generative machine learning models learn from solutions generated by classical optimization solvers and generate new solutions that were previously unconsidered. For the advertising optimization problem, this could result in ad spending strategies that result in a wider audience reach for a desired CTR.LEARN MORE ABOUT GEO
Applications for Consumer Goods
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.
Prevent overflows and stock-outs by optimizing stocks of raw materials and finished products using quantum or quantum-inspired prescriptive analytics.
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.
Manufacturing Process Optimization
Optimize the design of factories, employee schedules, and machine processes using quantum or quantum-inspired prescriptive analytics to enhance efficiency.
Improve anomaly detection algorithms used for quality control by augmenting training data with synthetic data generated by quantum-enhanced generative models.
Proactively predict maintenance needs for factory machinery by leveraging quantum or quantum-inspired classifier algorithms.
Analyze customer data with quantum machine learning to predict issues or complaints, target marketing promotions and product suggestions, and triage customer service.
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.)
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.
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.
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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