7 methods that improve forecast accuracy - a Logility White Paper

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Gartner reports demand forecast accuracy creates high responsiveness and cuts cost throughout the supply chain. Companies that are best at demand forecasting average 15% less inventory, 17% stronger perfect order fulfilment and 35% shorter cash-to-cash cycle times, while having the tenth of the stock-outs of their peers.

Over 1,250 Logility customers are proof that the company's comprehensive demand planning solutions help improve forecast accuracy and supply chain performance.

Logility's white paper, Seven Methods that Improve Forecasting Accuracy, outlines a variety of forecasting methods tuned to perform well at different phases of the product life cycle to best exploit available historical data and market knowledge. The paper overviews effective and flexible forecasting models such as:

  • Best-fit statistical
  • Intermittent demand
  • Derived
  • Attribute-based
  • Causal

Learn more about how a spectrum of forecasting methods can be used to produce accurate and flexible forecasts under demanding market conditions. Download your copy of Seven Methods that Improve Forecasting Accuracy or call +44 (0) 121 629 7866 today.

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