Case Study
Franke
Taming Franke’s Extreme Supply Chain Complexity CUSTOMER STORY Franke • Significantly improved forecasting process stability • Significantly reduced time to execute forecasting and demand planning (approximately 50%) • Increased forecast accuracy (8 MAPE points reduction at material level) • Reduction of seasonal inventory peaks and related bullwhip effects Results • Demand Forecasting & Planning • Inventory Optimization • Allocation • Replenishment Solution • Industrial Manufacturing Industry Challenges Franke’s tremendous growth resulted in a very complex supply chain network that was no longer running optimally. Franke’s Kitchen Systems and Water Systems divisions consisted of 42 locations (including 12 production facilities) with four echelons serving 146 markets and more t