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How a leading packaged bread company increased sales and reduced returns by redesigning PoS demand planning in Spain

Contexto

Context

  • Leading packaged bread company with a portfolio dominated by short shelf-life products (around 10 days)
  • Returns represented around 10% of net sales, while excessive stock corrections caused stock-outs equivalent to ~15% of lost sales

Our approach

Nuestro enfoque

  • Redesigned PoS-level demand planning to define optimal stock by SKU, point of sale and day
  • Built predictive demand models incorporating historical demand, volatility, promotions, shelf space evolution, commercial conditions and delivery planning
  • Applied DemandLab to translate forecasts into concrete decisions on routing, assortment, promotional push and stock corrections

Deliverables

Entregables

  • PoS–SKU–day demand forecasting models integrated into planning processes
  • Clear levers to optimise routes, assortment, promotions and product push
  • Easy-to-use digital tool to support daily planning and exception management
  • KPIs to monitor forecast accuracy, returns and lost sales.

Results

Resultados

reduction in returns
increase in net sales
Significant reduction in stock-outs caused by overcorrections
Improved service levels with lower waste

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