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Improving Retail Decisions with Customer Analytics

About this paper

Customer-centric decision making is an important differentiator for retailers. Collecting customer data is a common practice. Major challenges include making customer offers more personal and delivering useful customer insights to merchants at the point of decision for assortment, pricing and promotions. This paper highlights how retailers are increasing sales and profitability by using optimization to improve redemption rates of customer-specific offers and by adding the customer dimension to merchandising decisions.

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