Business Analytics using Dynamic Pricing based on Customer Entry-Exit Rates Tradeoff
2020 ◽
Vol 8
(1)
◽
pp. 272-280
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This paper concerns with an integrated business process to be applied as a decision support for market analysis and decision making. The proposed business intelligence and analytics system makes use of an extract, transform and load mechanism for data collection and purification. As a mathematical decision optimization, dynamic pricing is formulated based on customer entry-exit rates in a history-based pricing model. The optimal prices for products are obtained so that aggregated profit is maximized. A case study is reported to show the effectiveness of the approach. Also, analytical investigations on the impacts of the sensitive parameters of the pricing model are given.
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2011 ◽
pp. 426-433
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