Part 3/12:
In Walmart's case, data scientists and engineers worked meticulously on micro-level problems like optimizing store assortments, changing products overnight without disrupting customers, and conducting controlled experiments with target and control stores. These efforts demonstrated tangible returns, with some returning tens of billions of dollars in value by addressing the "inventory turn problem"—the challenge of optimizing stock levels across diverse stores and regions.