Intelligent-Based Auctions to Optimize the Commercialization of Perishable Foods in the Peruvian Traditional Retail Sector

Authors

  • Juan M. Lopez Faculty of Information Systems Engineering, Peruvian University of Applied Sciences, Lima, Peru https://orcid.org/0000-0003-0039-6044
  • Marcelo Chagray Faculty of Information Systems Engineering, Peruvian University of Applied Sciences, Lima, Peru
  • Gustavo Bocanegra Faculty of Information Systems Engineering, Peruvian University of Applied Sciences, Lima, Peru
  • Pedro Castaneda Faculty of Systems Engineering and Electrical Mechanics, National University Toribio Rodriguez de Mendoza, Amazonas, Peru https://orcid.org/0000-0003-1865-1293
  • Alberto Daniel Garcia Nunez Pontifical Bolivarian University Medellin, Antioquia, Colombia https://orcid.org/0000-0002-9402-3785
Volume: 16 | Issue: 2 | Pages: 34729-34736 | April 2026 | https://doi.org/10.48084/etasr.17192

Abstract

In the Peruvian traditional retail sector, the waste of perishable goods results in significant economic and environmental losses. This paper presents a mobile application that integrates competitive auctions and a Belief-Desire-Intention (BDI) agent to accelerate the sale of products approaching expiry. During a controlled deployment spanning four weeks (April 14-May 8, 2025), involving 10 participants, 30 products were auctioned, and 19 were sold, preventing 54.90 kg of food waste. The average time required to sell was 2 h and 40 min, and the final price varied by -5% compared to the baseline. Usability outcomes were positive, System Usability Scale (SUS) was 80 for sellers and 71.5 for buyers, with an agent rating of 4.6/5 and a reuse intention of 90%. The results demonstrate technical and functional feasibility in low-digitalization contexts, encouraging further extensive studies.

Keywords:

food waste, mobile application, BDI agent, auctions, traditional retail, Peru, usability, adoption

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How to Cite

[1]
J. M. Lopez, M. Chagray, G. Bocanegra, P. Castaneda, and A. D. G. Nunez, “Intelligent-Based Auctions to Optimize the Commercialization of Perishable Foods in the Peruvian Traditional Retail Sector”, Eng. Technol. Appl. Sci. Res., vol. 16, no. 2, pp. 34729–34736, Apr. 2026.

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