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This model recommends customized discounts for customers based on their business significance and performance

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Customized_Customer_Discounts

Problem Statement:

Develop an intelligent and efficient model to recommend customized discounts for customers based on their business significance and performance

Case study:

It is estimated that the CPG and retail industry accounts for more than half of the world’s GDP. Discounts , promotions and pricing strategies drive a major portion of the revenue to the Companies. Hence, it becomes very important for these companies to provide discounts by looking at the ROI of the complete discount profile of the customer. Running a promotion or giving a discount can, when done properly, deliver incremental sale or help gaining access to new customers. Discounts can be of various types: Discount generated per purchase, discounts based on agreements, Discounts in the form of commercial Investments on our customers to match the market incentives, trade promotions offered to consumers to increase market share. Develop a solution, identify distribution patterns and optimize different types of discounts given to customers to maximize profit.

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This model recommends customized discounts for customers based on their business significance and performance

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