JDA Demand Classification

Predicting product demand can be a complex, costly and time-consuming job. But it doesn’t have to be. JDA Demand Classification provides a systematic and scientifically based way to analyze demand histories, identify product selling behaviors and optimize forecasting parameters and techniques.

How does it solve your business challenges?

JDA Demand Classification can help you predict demand across large and dynamic product portfolios, multiple sales channels and diverse customer bases. By analyzing historical demand data for each product, the solution can automatically apply the algorithm that will produce the most accurate forecast result. JDA Demand Classification also improves planner efficiency and allows for authorized intervention and overrides.

What are the benefits?

• Improved forecasting accuracy, resulting in better inventory management and lower inventory costs
• Reduced time spent managing statistical algorithms and parameters
• Streamlined demand-system modeling, reducing maintenance time and data storage
• Lower safety stock, overstocks and out-of-stocks

Why JDA?

JDA Demand Classification leverages deep analysis of historical demand patterns to far outperform traditional "pick-best" algorithm approaches. Working seamlessly with JDA Demand Decomposition and JDA Demand, JDA Demand Classification measurably improves forecasting efficiency and accuracy — enabling your organization to extract the full value from any demand chain.

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Collateral

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