Optimizing Supply Chain Operations with Orquestra® for a Global Beverage Distributor
- Networks & Connectivity - Gateways
- Transportation
- Logistics & Transportation
- Last Mile Delivery
- Time Sensitive Networking
The case study revolves around an international beverage distributor that delivers soft drinks to over 700,000 vending machines in one of its territories. The company was facing challenges in optimizing its logistics network, which if improved, could lead to increased revenue, decreased fuel costs, and a reduced carbon footprint. The organization was also struggling with its data architecture, which was not supporting fast and efficient daily routing computations. The need for a solution that could enhance their delivery operations and support faster, more efficient daily routing computation was evident.
The customer in this case study is a top global beverage distributor. The company has a vast logistics network, delivering soft drinks to over 700,000 vending machines in one of its territories. The organization was seeking ways to optimize its logistics network to increase revenue, decrease fuel costs, and reduce its carbon footprint. Additionally, the company was looking to improve its data architecture to support faster, more efficient daily routing computations. The company's operations are complex and require a high level of efficiency and precision to ensure timely deliveries and maintain customer satisfaction.
Zapata Computing, a quantum software company, stepped in to address the company's challenges using their platform, Orquestra®. The platform was used to upgrade the company’s delivery operations to support faster, more efficient daily routing computation. This upgrade enabled the company to begin operations approximately 45 minutes earlier each day, resulting in significant time and cost savings in operations. Looking ahead, Zapata plans to leverage the advancements in quantum hardware and the increasing volume of data inputs to further optimize delivery routes. The future plan includes considering variables beyond route length such as weather, traffic patterns, vehicle performance, inventory stock-outs, and more.