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Demand Planning

You need to forecast and sense demand with greater accuracy to:

  • Drive downstream planning accuracy

  • Increase sales revenue

  • Minimize freight expediting costs

  • Improve customer service and reduce inventory costs

Key Challenges

  • Insufficient forecast accuracy - Customer behavior is often erratic and without reliable demand data from within and outside your organization, it is difficult to generate an accurate forecast resulting in decreased profitability

  • Seasonality and demand spikes - Overlooking seasonal inventory requirements or new trends results in stock outs and a fall off in sales for your enterprise

  • Increasing customer expectations - Your customers now expect and even demand stock availability and on-time deliveries to ensure a positive customer experience

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Capabilities

QAD DSCP (Demand-Driven Supply Chain Planning) is a powerful tool within the QAD Adaptive Enterprise suite designed to optimize supply chain operations and improve demand planning accuracy. It leverages advanced analytics and forecasting techniques to help businesses achieve better inventory management, reduce costs, and enhance customer satisfaction.

Statistical forecasting

QAD’s solution addresses complex seasonality, external factors and trend analysis with an auto-selection of best-fit algorithm and an expert library of forecasting methods for every possible sales profile.

Dimension flexibility

It does not matter how different stakeholders need to work with the forecast, you can manage the forecast in days, weeks, or months; by SKU, category, brand, customer, warehouse, region; in units, pallets, kilograms; or by other dimensions.

Demand sensing

You can utilize real-time customer demand signals to drive a short horizon demand management approach.

Management by exception

Your organization can manage large product portfolios and ensure your planner’s efforts are focused on those events where the most value can be achieved.

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