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Retail operations generate a vast amount of transaction data. But the sheer bulk of this data – recording, at the item level, every purchase through stores, online storefronts, and other channels – makes it difficult to understand the repeated patterns of purchase that give insight into customer behavior and preference. In this paper, learn how retailers are using predictive analytics to uncover patterns in the products purchased together to differentiate assortment, merchandise stores and develop combined product offers to drive sales and profits.