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From Source to Shelf, a Round Up of Retail AI Innovation

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Kaufland Optimizes Its Replenishment Process

“For our organization, it is critical to have the right amount of fresh meat available for the customers in each store. Automated replenishment based on accurate sales forecasts plays a key role. Working with Blue Yonder has resulted in significantly optimizing our processes.”

Ralph Dausch,
Executive Board Member of Fresh Meat Products International, Kaufland

Kaufland Optimizes Its Replenishment Process with Replenishment Optimization

Replenishment Optimization

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The Challenge

Kaufland, a large supermarket chain, set itself the ambitious goal of automating the replenishment process in its fresh meat division to the fullest extent possible, as their existing supply chain processes had reached their limits.

The Solution

With Replenishment Optimization, Kaufland achieved a high degree of automation for its daily orders. The production process could also be closely integrated into the supply chain as a whole, creating even more synergies within demand planning.

The Results
  • Centralized and highly automated replenishment
  • Significantly minimized planning efforts at the individual store level
  • Fewer write-offs while simultaneously ensuring product availability for customers
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Replenishment Optimization

Reduce out-of-stock rates by up to 80% without increasing waste or inventory

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  • 10x

    increased product availability

  • 80%

    out-of-stock rate reductions

  • 50x

    fewer manual interventions

Businesses Using Replenishment Optimization

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Kaiser’s Tengelmann Automates Replenishment

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Some book

OTTO Uses Replenishment Optimization to Impress Its Customers and Increase Profits

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Some book

Successful Demand Forecasting at dm

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Some book

Natsu Optimizes Its Sales Planning and Reduces Leftover Stock by 20%

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Blue Yonder’s AI technology dramatically improves demand planning at Morrisons

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