Integration with Advanced Technologies in Logistics: AI, IOT, and Optimization in Modern Supply Chains
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Integration with Advanced Technologies in Logistics: AI, IOT, and Optimization in Modern Supply Chains
Priyanka Karjule1, Vaishnavi Kurumnale2
1Ms. Priyanka Karjule, Data Science Department & Dr. D. Y. Patil Arts, Commerce, Science College, Pimpri
2Ms. Vaishnavi Kurumnale, Data Science Department & Dr. D. Y. Patil Arts, Commerce, Science College, Pimpri
Abstract
This research develops and tests a unified framework combining Artificial Intelligence (AI), the Internet of Things (IoT), and blockchain to tackle major inefficiencies in pharmaceutical reverse logistics, a sector plagued by high costs and fraud. The study designed and implemented a system using a Random Forest model for fraud detection, an LSTM network for forecasting return volumes, and a Genetic Algorithm for optimizing collection routes.
Experimental results demonstrated significant improvements: fraud detection accuracy reached 87%, return forecasting error was reduced to 12%, and route optimization cut costs by 18%. The findings prove that integrating these technologies can simultaneously boost operational efficiency, ensure regulatory compliance, and reduce waste. This work provides a validated blueprint for modernizing supply chains and highlights key future areas like Edge AI and post-quantum blockchain for further advancement.
Keywords: AI, IoT, Blockchain, Supply Chain, Pharmaceutical Logistics, Optimization.
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