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Powerfully Simple Demand Sensing

Demand Sensing allows you to incorporate detailed short-term demand data into your short-term forecasts to reduce forecast error by up to 50%, increase inventory accuracy by up to 20%, and optimally deploy downstream (e.g., Distribution Center) inventory.

Downstream data, such as customer and channel data, is employed to identify demand trends, provide advanced warning of problems, and remove the latency between plan and what is really happening in the supply chain. The quicker deviations can be identified, the quicker and more intelligently a company can respond.

Demand Sensing imports fresh daily demand data, immediately senses demand signal changes compared to a detailed statistical demand pattern, and evaluates the statistical significance of the change. It analyzes partial period actual demand to perform automatic short-term forecast adjustments using probabilistic pattern recognition and predictive analytics. Pattern recognition automatically detects a pattern in replenishment orders to improve short-term forecast accuracy. Advanced statistical analytics identify and rapidly react to replenishment issues or sudden changes in customer demand.

ToolsGroup’s Demand Sensing can analyze the demand signal from:

  • the next downstream step in your demand chain, such as at a Ship-To store or warehouse
  • POS data or EDI transactions, expanding the ability to sense the extended supply chain
  • more advanced sources of unstructured “big data” in Demand Signal Repositories (DSRs), such as macroeconomic trends, social media and customer web behaviour.

Companies can now manage the entire process from demand signal capture, both from structured and unstructured sources, to short-term and long-term forecasting, for increased sales revenue and decreased inventory costs.

Watch Video See how translating downstream demand data increases forecast accuracy
Read Brief Learn how leveraging downstream demand improves service levels
Read Case Study Learn how Demand Sensing at Amplifon (Miracle Ear) improved forecasts and inventories


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