PREDICTIVE ANALYTICS IN CUSTOMIZED PRICING
WANG YI XIANG
WANG YI XIANG
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Abstract
Pricing decision is an important aspect in business as it directly affects the revenue of the company. Price customization is used in business transactions and it consists of two components, segmentation and optimization. Although much research work had been done for the optimization process, less emphasize is made on the segmentation stage. Segmentation method usually uses all combination of factors and little is done to investigate its effectiveness on maximising revenue. Thus this paper attempts to improve on the segmentation process by using a data approach to segment the market. Statistical models are used in place to segment the market and price determination. The two methods are compared to determine the effectiveness of using predictive model for customize pricing.
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2014
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