International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 6
November-December 2024
Indexing Partners
B2B Pharmaceutical Ordering System using AI
Author(s) | Harshal Jadhav, Prerana Kapadnis, Mrinal Kharade, Arvind Gautam |
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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 |
Cite This | B2B Pharmaceutical Ordering System using AI - Harshal Jadhav, Prerana Kapadnis, Mrinal Kharade, Arvind Gautam - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.30874 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i06.30874 |
Short DOI | https://doi.org/g8rdx8 |
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E-ISSN 2582-2160
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