Data-Driven Scheduling: A Solution to Frontline Employee Turnover
This article discusses how retailers can reduce employee turnover by using data analytics to tailor work schedules. It highlights the limitations of one-size-fits-all scheduling solutions and advocates for a localized approach that considers factors like advance notice, flexibility, and fairness to improve employee satisfaction and operational efficiency.