The approach we are advocating doesn’t require collecting more data or building new infrastructure. It just entails having the necessary analytical capability. Nearly every retailer already has the raw data needed to understand turnover at specific sites: timestamps (electronic or physical records of when an employee started a shift, took a break, completed a task, or ended the workday), shift patterns, approvals, and absences. However, most companies use the systems that collect this data only for payroll or to prove they are complying with government laws and regulations. To our knowledge, no organization has fully embraced the data-driven customization our research prescribes. Consequently, the approach we outline in this article offers companies with high turnover among frontline workers a remedy that could quickly have a major positive impact on their businesses.