JDA Dynamic Demand Response enables businesses to react to real-time demand signals by transforming the time-consuming task of demand monitoring into an automated, efficient demand planning process. Using advanced data mining and pattern recognition techniques, JDA Dynamic Demand Response introduces science into the process of allocating, consuming and adjusting short-term forecasts.
Static forecasts fail to incorporate real-time demand signals that must be managed responsively in today’s volatile marketplace. Using JDA Dynamic Demand Response, your planners can leverage real-time signals to create revised projections of true demand on a daily basis. They can apply this information to minimize stock-outs, improve service and minimize inventory — even during promotional events.
Using pattern recognition techniques, JDA Dynamic Demand Response intelligently allocates weekly demand to daily “buckets,” based on historical order or shipment patterns. The flexibility to discover patterns within multiple hierarchies means patterns may be analyzed where they make the most sense. For example, you may discover rich patterns by performing an analysis at the customer and category level that reveals an intersection of items frequently ordered together.
Additional Information |