A Price Sensitivity Based Intelligent Pricing System for Global E-commerce

Pelin Yurdadön, Başar Öztayşi*, Egemen Berki Çimen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageEnglish
Title of host publicationIntelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference
EditorsCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, A. Cagri Tolga, Selcuk Cebi
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages8
ISBN (Print)9783031091728
Publication statusPublished - 2022
EventInternational Conference on Intelligent and Fuzzy Systems, INFUS 2022 - Izmir, Turkey
Duration: 19 Jul 202221 Jul 2022

Publication series

NameLecture Notes in Networks and Systems
Volume504 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


ConferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.


Acknowledgements. This work is supported by TUBITAK (The Scientific and Technological Research Council of Turkey) under project number 3190848.

FundersFunder number
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu3190848


    • E-commerce
    • Price sensitivity
    • Pricing system


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