General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Executive Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
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Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2023 Vol.15(1): 46-53
DOI: 10.7763/IJCTE.2023.V15.1329

Design of a Real-Time Pricing System for E-commerce

Archana Kumari* and Babu Rao. K

Manuscript received July 16, 2022; revised September 20, 2022; accepted October 17, 2022.

Abstract—The high volumes and stiff competition call for a smart (both economically and computationally) pricing systems in modern E-commerce. The three market factors, e.g., the Demand for the item, the Competition prices, and the Buyer’s characteristics, are instrumental in deciding the sale prices for items of the same quality. These factors are volatile in nature, and therefore, the ability to modify the prices in real-time gives a boost to a seller’s profitability. In this paper, we propose a novel design for a real-time pricing system to offer differentiated price suggestions. We build an algorithm that uses the three factors and the target sale quantity for decision making. The pricing is formulated as an optimization problem and is solved by using the technique of Linear Programming (LP). The key parameter in the LP equations is the sale probability, which is derived from historical price requests and ‘price request to sale’ ratio. The simulated results demonstrate that, by executing multiple subsequent optimization cycles, the pricing solution generates higher revenue than static pricing choices. In order to reduce the time required to serve price requests, we have decoupled the pricing calculation from the request paths, leading to an extremely fast pricing solution.

Index Terms—E-commerce pricing, pricing algorithm, real-time system design, linear programming

Archana Kumari is with CMR University, India.
Babu Rao. K is with School of Engineering and Technology, CMR University, India.


Cite:Archana Kumari and Babu Rao. K, "Design of a Real-Time Pricing System for E-commerce," International Journal of Computer Theory and Engineering vol. 15, no. 1, pp. 46-53, 2023.

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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