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. As a result, the company was able to open operations ~45 minutes earlier each day, saving time and money.
Optimize delivery routing to reduce costs and shorten delivery times.
Identify suppliers, distributors, vendors, and facility locations optimized for product quality, costs, delivery times, and demand coverage.
Prevent overflows and stock-outs by optimizing stocks of raw materials and finished products.
Re-route vehicles and adjust workforce schedules to react quickly to disruptions caused by irregular operations (IROPs).
Model market demand to reduce inventory stock-outs and support production scheduling.
Optimize the design of factories, employee schedules, and machine processes to enhance efficiency.
Proactively predict maintenance needs for factory machinery.
Analyze customer data 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.
