Kum & Go, a convenience store chain with over 400 stores across the Midwest staffed by nearly 5,000 associates, had been using a legacy timekeeping system that had outlived its usefulness. Using prior-year customer count information, corporate management allocated hours to each store, where the general manger then manually completed the weekly schedule. This one-size-fits-all approach unintentionally left busier stores short on hours needed to complete tasks to meet the chain's standards and serve bursts of customer traffic. To cover absences, store managers often relied on the same trusted associates to fill open shifts, creating inequity in associate hours and overtime.
Kum & Go needed a solution that could:
- Better align associate hours with expected customer traffic and sales transactions
- Streamline and improve equitable scheduling of store associates
- Improve communication with associates about the availability of open shifts
- Seamlessly integrate with technology partners Workday and Opus
"Our scheduling has gone from almost an hour — putting together a weekly Tetris puzzle — to largely writing itself. Fifteen minutes is probably longer than what the average store spends now. It's probably more like five or 10 minutes. In some cases, zero minutes."
Operations System Analyst
Kum & Go selected a Kronos workforce management solution to better align scheduling of associates with customer traffic, improve scheduling efficiencies, better manage labor costs, and increase employee engagement. The solution also integrates with Workday for HR, Axsium's Opus work measurement solution, and the Branch financial wellness and employee self-service app.
Workforce Forecast Manager for Retail
- Predict labor demand down to 15-minute increments using historical data from the point-of-sale system
- Utilize labor standards on the average time to complete specific tasks to schedule associates weekly for each job for every 15-minute period
- Avoid costly overstaffing and minimize understaffing and lost sales
- Simplify creating best-fit schedules that align staffing with demand
- Automatically generate demand- and volume-based schedules using transactional data to predict demand
- Build efficient schedules that assign the right person to each position based on predefined criteria to maintain compliance and accommodate associates' needs for predictable schedules
- Track and manage associate time and attendance to reduce payroll, leave inflation, and manual errors
- Gain insight into approaching overtime to better control labor costs
- Minimize compliance risk by enforcing and tracking complex compliance requirements
By empowering associates to swap shifts when necessary, overtime has decreased, and average hours worked have increased. Having more predictable schedules — and income — has enhanced employee engagement and retention, reducing turnover. With tasks standardized for each schedule, associates working in different stores know which tasks they must complete, increasing consistency across stores and improving both associate and customer satisfaction. Using the Branch app, division managers can communicate with teams, and associates can post open shifts for others to accept, reducing the burden on managers to cover unplanned absences. The process has reduced manager scheduling time from one hour weekly to 5 to 10 minutes.