Case Study: Søstrene Grene improves allocation accuracy with AGR Dynamics

Søstrene Grene improves allocation accuracy for 250 stores with AGR Dynamics

Søstrene Grene, a European retailer of Nordic-inspired home products with over 250 stores, faced a challenge in accurately allocating new inventory. Their previous one-size-fits-all system distributed goods based solely on a store's overall sales budget, which did not account for the different sales profiles of individual locations. This was a significant issue as 60% of their weekly shipments consisted of new items with no direct sales history.

AGR implemented its intelligent allocation system for Søstrene Grene. The AGR solution uses demand forecasting based on sales history from comparable products to accurately allocate items based on each store's actual needs. This resulted in a better balance between inventory and service levels, higher turnover, less lost sales, and lower inventory across the entire supply chain for the retailer.

Søstrene Grene