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About the customer

A regional North American retail chain specializing in groceries, household goods, and major appliances.

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100+ stores

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30+ years in the market

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Business challenges

As the retailer set its sights on growth and a smoother omnichannel experience, it faced some clear roadblocks. Without centralized demand planning or a unified view of the supply chain, it was tough to stay ahead of shifting customer needs. Much of the forecasting and replenishment work relied on spreadsheets and manual inputs, making it harder to keep shelves stocked and operations efficient.

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High stock-out rates due to reactive and siloed replenishment strategies.

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Dependence on manual tools and in-house systems for forecasting and supply chain planning.

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Pricing strategies based largely on intuition and competitor benchmarks, lacking data-driven consistency.

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How Softtek comes into play

To modernize the supply chain and support long-term growth, Softtek implemented an automated replenishment system and a more consistent, data-driven pricing model. The initiative centered on deploying Blue Yonder solutions to strengthen both demand planning and pricing strategy across the entire supply chain.

Implemented Blue Yonder Demand and Fulfillment to improve inventory control, integrate enterprise forecasting systems, and enhance service levels.

Deployed Blue Yonder Price Optimization to better understand demand, optimize promotions, and align pricing with customer behavior.

Supported best practice adoption in demand planning and pricing to drive operational consistency and informed decision-making.

Integrated new solutions with existing enterprise systems to support scalability and long-term sustainability.

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Business impact

With stronger replenishment capabilities and more advanced forecasting methods, our client replaced informal, experience-based approaches with greater structure and accuracy.

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Reduced stock-outs and lower inventory levels across key categories.

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Improved forecast accuracy for both sales and inventory planning.

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A more robust and centralized replenishment function.

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Greater operational efficiency driven by data-enabled decision-making.

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