Supply Chain Optimization Success Story

This case study outlines the digital transformation of a Fortune 500 technology retailer's supply chain, focusing on the implementation of a sophisticated data strategy to optimize their buy-and-hold process. The retailer faced significant challenges due to manual processing, which led to inefficiencies, data inaccuracies, and an inability to meet customer expectations. Kenway Consulting was engaged to develop a systematic approach to automate the order fulfillment process, enhance data visibility, and improve operational efficiency. Key solutions included the implementation of an Extract, Transform, Load (ETL) process, data aggregation, and the development of a reporting capability using Power BI. The study details the steps taken to profile and cleanse data, ensuring high-quality information for decision-making. As a result of these initiatives, the retailer achieved a 40% improvement in data quality, reduced manual processing time, and increased customer satisfaction, enabling them to accept new contracts and grow their revenue significantly.