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 the selection of suppliers, distributors, and vendors for product quality, costs, delivery times, and demand coverage.
Optimize the location of facilities in the supply chain for capacitated and incapacitated systems.
Optimize logistics networks for recycling, reuse, disposal, and product recalls.
Optimize the design of warehouses as well as order-picking scheduling and routing to increase efficiency.
Model market demand for replenishment to reduce inventory stock-outs and support production scheduling.
Predict spikes in demand that could trigger a bullwhip.
Design inventory policies optimized for minimizing costs across multiple product families.
Optimize workforce scheduling to balance workloads for multi-commodity teams.
Optimize vehicle routing for delivery operations to reduce costs and shorten delivery times.
Predict and mitigate the effects of irregular operations (IROPs), such as extreme weather.
Optimize vehicle control to minimize fuel consumption.
