AI-POWERED SMART INVENTORY AND PROCUREMENT SYSTEM: A MACHINE LEARNING FRAMEWORK FOR PHARMACEUTICAL AND BEAUTY PRODUCT DISTRIBUTION

Planned next steps include IoT-based smart shelves for sensor-driven stock updates, RFID tagging for tracking at the item level, blockchain-based record-keeping across the supply chain, more advanced deep-learning forecasting models, real-time analytics on supplier performance, cloud deployment across multiple warehouses, a companion mobile app, and ongoing automated model retraining. These limitations reflect where the project currently stands; once the remaining modules are completed, integrated, and thoroughly tested, a full evaluation of the system's functionality, security, evaluation accuracy, performance, and scalability will be possible.

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