Abstract
Modanisa is a global E-commerce company which provide modest fashion products. Since each country has different currency and different economic conditions, purchasing capacity of the residents change. As a result, the price that the market is willing to pay vary among the countries. Price sensitivity is the degree to which demand changes when the cost of a product or service changes. Price sensitivity is commonly measured using the price elasticity of demand, which states that some consumers won’t pay more if a lower-priced option is available. In this study, a decision support system is proposed based on price sensitivity of products. To this end, first previous data is processed to obtain the price sensitivity. At the second step, a mathematical model, which aims to maximize the profit, is proposed. In order to show the efficiency of the approach a mathematical model is also provided.
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Acknowledgements
This work is supported by TUBITAK (The Scientific and Technological Research Council of Turkey) under project number 3190848.
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Yurdadön, P., Öztayşi, B., Çimen, E.B. (2022). A Price Sensitivity Based Intelligent Pricing System for Global E-commerce. In: Kahraman, C., Tolga, A.C., Cevik Onar, S., Cebi, S., Oztaysi, B., Sari, I.U. (eds) Intelligent and Fuzzy Systems. INFUS 2022. Lecture Notes in Networks and Systems, vol 504. Springer, Cham. https://doi.org/10.1007/978-3-031-09173-5_111
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DOI: https://doi.org/10.1007/978-3-031-09173-5_111
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