B2B PHARMACEUTICAL ORDERING SYSTEM USING AI

Author(s)	Harshal Jadhav, Prerana Kadhav, Mrinal Kharade, Harish Jadhav
Country	India
Abstract	This project presents a B2B pharmaceutical ordering system designed to streamline the procurement process between pharmacies and wholesalers, with a focus on enhancing accessibility to homeopathic, allopathic, and ayurvedic medicines. The system incorporates a structured digital catalog of over 200 products, documented through real-world images for accuracy and clarity. Each product entry includes essential details such as name, company, category, and standardized pricing. The platform enables pharmacies to browse the catalog, manage inventories, place bulk orders, and generate invoices, while wholesalers can oversee order approvals and monitor stock levels. This digital transformation fosters operational efficiency, ensures transparency, and supports better healthcare delivery through improved supply chain management.
Keywords	B2B Pharmaceutical System, Artificial Intelligence, Inventory Management, Demand Forecasting, Predictive Analytics, Order Automation, Supply Chain Optimization, Pharmacy-Wholesaler Network, Real-time Analytics, Healthcare Technology
Field	Engineering
Published In	Volume 7, Issue 3, May-June 2025
Published On	2025-06-11
DOI	https://doi.org/10.36948/ijfmr.2025.v07i03.47792
Short DOI	https://doi.org/g9qp9h

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