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data   science

Retailers are called upon to make hundreds of decisions each day: about which items to carry, at what price, in which stores, with what shelf price, with which promotions, etc.
Customer management brings a new focus and perspective to the decision-making process, but also more complexity. Retailers must now make more decisions, with greater frequency, and at a more granular level, based on a store's customer base, even down to individual customers.
CMP has developed a methodology that translates customer insights, strategies and plans into the item and customer specific decisions every retailer needs to make. Our approach, which uses inferred data and automated recommendations, was used at a large supermarket retailer to radically improve marketing, merchandising, supply and service decisions.
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