International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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B2B Pharmaceutical Ordering System using AI

Author(s) Harshal Jadhav, Prerana Kapadnis, Mrinal Kharade, Arvind Gautam
Country India
Abstract The pharmaceutical B2B ordering system in this project seeks to enhance the supply chain and decision-making by integrating artificial intelligence processes. From the patterns and trends of diseases collected, the system suggests particular drugs and makes forecasts for existing stocks, thus predicting orders and ensuring that they are fulfilled without unnecessary hitches.
Keywords Pharmaceutical ordering system, Data Collection, Ordering System, Artificial Intelligence, Adaptive Learning
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-16
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.30874
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CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

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