Kaufland Optimizes Its Replenishment Process
Company Size
1,000+
Region
- Europe
Country
- Germany
Product
- Blue Yonder’s forecasting and replenishment capabilities
Tech Stack
- Machine Learning
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Analytics & Modeling - Predictive Analytics
Applicable Industries
- Retail
Applicable Functions
- Logistics & Transportation
Use Cases
- Predictive Replenishment
Services
- Data Science Services
About The Customer
Kaufland is a supermarket chain that operates throughout Europe with about 1,200 stores. The company offers a range of around 60,000 items to its customers, with a main product focus on fresh food including fruit, vegetables, dairy, meat, and fish. In addition to fresh food, Kaufland's range also includes household goods, electronics, textiles, stationery, toys, and seasonal items, as well as weekly promotional merchandise. Kaufland operates seven logistic centers and four meat manufacturing plants.
The Challenge
Kaufland, a supermarket chain active throughout Europe with about 1,200 stores, offers a range of around 60,000 items to its customers. The main product focus includes fresh food comprised of fruit and vegetables, dairy, meat and fish. The range also includes household goods, electronics, textiles, stationery, toys and seasonal items, as well as weekly promotional merchandise. Kaufland set itself the ambitious goal of automating the replenishment process in its fresh meat division, as their existing supply chain processes had reached their limits.
The Solution
Kaufland implemented Blue Yonder’s forecasting and replenishment capabilities to achieve a high degree of automation for central planning in daily orders. Additionally, production processes could be closely integrated into the supply chain as a whole, thus creating even greater synergy with demand planning. As well as internal data, important factors such as promotions, holidays and weather were taken into account and factored into the ordering decisions. The robust algorithm, Blue Yonder’s superior machine learning technology and their ability to highly automate the decision-making process were among the factors that convinced Kaufland to implement Blue Yonder across all their German stores.
Operational Impact
Quantitative Benefit
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