Skip to main navigation Skip to search Skip to main content

Reverse double auction mechanism: An efficient algorithm for E-commerce platform operations

  • Harbin Institute of Technology
  • Peng Cheng Laboratory
  • Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies
  • City University of Hong Kong
  • Ping An Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Transaction efficiency is critical to the success of e-commerce platforms. We propose a Reverse Double Auction Mechanism (RDouMech), an innovative auction-based algorithm, to revolutionize the transaction process in e-commerce operations. It incorporates unique features of reverse auction, multi-bids, and multi-constraints (i.e., market clearing, individual rationality, and incentive compatibility). This operational innovation facilitates market clearing by precisely matching buyers with sellers, leading to a balance between demand and supply, improved matching rates between buyers and sellers, and a significant increase in transaction prices on the platform. We further validate our algorithm using proprietary data from an online automobile transaction platform. Our results show that RDouMech raises the transaction revenues by 19.73% and doubles social welfare compared to the human expert-assisted artificial intelligence (AI) algorithm that is currently employed by the platform.

Original languageEnglish
Article number101401
JournalElectronic Commerce Research and Applications
Volume65
DOIs
StatePublished - 1 May 2024
Externally publishedYes

Keywords

  • Business market
  • Double auction
  • Game theory
  • Incentive mechanism

Fingerprint

Dive into the research topics of 'Reverse double auction mechanism: An efficient algorithm for E-commerce platform operations'. Together they form a unique fingerprint.

Cite this