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  2. RECO: An AI-Powered Chatbot System for Optimizing Reverse Agri-Food Logistics and Fighting Food Insecurity in Colombia

RECO: An AI-Powered Chatbot System for Optimizing Reverse Agri-Food Logistics and Fighting Food Insecurity in Colombia Contribuciones en conferencias

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Perfil

Editorial / medio

  • Springer Science and Business Media Deutschland GmbH

Nombre del libro

  • Industrial Engineering and Operations Management - 10th North American Conference - Computer Science Tracks, IEOM-CS 2025, Proceedings

Autor

  • Carla Fernanda González Mina
  • Cristian David Ayala Martinez
  • Francy Valentina Gamba Ruiz
  • Johanna Trujillo-Díaz
  • Juan Sebastián Sánchez-Gómez

Resumen

  • Food waste management has become a critical global issue with significant economic, social, and environmental impacts. In Colombia, approximately 9.7 million tons of food are wasted annually, impacting food security and malnutrition. This research explores the role of artificial intelligence, particularly chatbots, in optimizing food distribution and minimizing waste. The proposed system, RECO Donation Manager, employs AI-powered chatbots integrated with PostgreSQL databases and geolocation services like Bing Maps to streamline food donations. The AI in the chatbots, powered by natural language processing (NLP) and machine learning (ML), improves user interaction, automates resource allocation, and ensures efficient food redistribution. The initial implementation highlights challenges in geolocation accuracy, data validation, and understanding NLP, emphasizing the need for further refinement. This study demonstrates the potential of AI-based solutions to mitigate food waste and foster sustainable resource management, offering a promising foundation for future advances in automated food donation systems.

Área temática

  • Fin de la pobreza
  • Hambre cero

autores

  • http://vivoweb.org/ontology/core#FacultyMember
    Mauricio Becerra Fernández

fecha de publicación

  • 2026-1-1

Identidad

Identificador de objeto digital (DOI)

  • https://doi.org/10.1007/978-3-031-98235-4_14

Número Estándar Internacional de Libros (ISBN)

  • 9783031982347

Información adicional de documento

Número de páginas

  • 17

Página inicial

  • 193

Última página

  • 209