Enhancement of Demand Forecasting and Supply Chain Planning product via GPT | N. Pozar | DSCEurope23

Опубликовано: 16 Октябрь 2024
на канале: Data Science Conference
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In his talk, Nino delved into the transformative impact of AI on supply chain optimization through the BE-terna Demand Forecasting and Supply Chain Planning platform. This solution harnesses advanced AI algorithms for demand forecasting and inventory management, catering to various item types to enhance operational efficiency. The talk highlighted the platform's cloud-based deployments for cost-effectiveness, security, and a seamless user experience. Additionally, the integration of GPT into the system was discussed, with emphasis on a chatbot that simplifies complex algorithms behind stock recommendations, fostering transparency. This chatbot facilitates interaction with the AI for users of all technical backgrounds, promoting a deeper understanding of optimization logic. The overall focus was on making AI-driven recommendations accessible and understandable, ultimately enhancing trust and decision-making in supply chain management.

This speech by Nino Pozar was held on November 23rd at the Data Science Conference Europe 2023 in Belgrade.

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