Predicting demand, and creating markdown strategies, for items with short life cycles — such as winter apparel — have traditionally depended on historic sales data and regression analysis. Today, clustering algorithms from JDA can help you predict demand and create markdowns more accurately, based on real-time demand data segregated by item color, size, store location and other granular details. Start making the most of your markdowns today.

Today we can leverage a more accurate and early forecast to get that band to allocate closer to the stores when and where that demand actually is.