Case Study: engelhorn achieves up to 95% forecasting accuracy, 5,000+ hours saved and fair, cost‑efficient staffing with ATOSS

engelhorn - Customer Case Study

engelhorn is a 125‑year‑old, family‑run German retailer with nine stores, two online shops and around 1,500 employees, including many part‑time, 450‑euro and student workers across 50+ planning areas. The company needed to handle highly fluctuating customer traffic and order volumes while maintaining premium service levels, controlling costs and producing fair, reliable schedules for diverse employee groups.

By implementing ATOSS workforce forecasting, rule‑based scheduling and the Automatic Duty Plan, engelhorn introduced sales‑based planning across retail, customer service and logistics. The solution delivered up to 95% forecast accuracy in logistics, cut sales‑area overtime by 15%, reduced planning effort in customer service by 60–80%, trimmed over/under‑staffing in labeling (overstaffing −30%, understaffing −40%) and saved more than 5,000 personnel‑administration hours annually — while improving productivity, transparency and employee satisfaction.

engelhorn

Michael Hammer

HR Director