An American food brand used flexday.ai to turn shipping forecasts into shift plans

Productivity gets benchmarked in cases and pallets per hour, and that number now drives the plan instead of following it: shipping forecasts convert directly into labor requirements, and shift allocation gets optimized against real constraints, headcount, skill mix, dock capacity, rather than a spreadsheet built from last quarter's average.

Planners spend their time on the exceptions the model flags, not on building the base schedule by hand every week.