Intelligent supply chain management, emphasizing the public procurement requirements for supplying food to kindergartens

Le résumé fourni par la source

This paper presents an intelligent supply chain management system tailored for public procurement processes, with a specific focus on food deliveries to kindergartens. The study explores current trends in logistics, including the integration of artificial intelligence, machine learning, and the Internet of Things for real-time tracking and route optimization. A knowledge-based expert system prototype is developed to support planning and coordination of deliveries from regional producers. The system employs forward and backward chaining inference mechanisms, modular architecture, and an intuitive user interface. Embedded in the "ZEMELA" smart agriculture platform, the solution enhances transparency, efficiency, and sustainability in the public sector. The regulatory framework and specific challenges related to traceability and food safety for children are discussed. Future developments envision the integration of machine learning, blockchain technologies, and intelligent management of plant genetic resources.

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