Artificial Intelligence and IoT in Logistics management for the Intelligent Supply chain Management For The Future era

The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) in logistics is transforming supply chain management (SCM) by enabling real-time data analysis, automation, and intelligent decision-making. These technologies are crucial for developing an intelligent supply chain that is adaptive, efficient, and future-ready. Traditional logistics systems face challenges such as inefficiencies in route planning, inaccurate demand forecasting, and poor inventory management, leading to increased costs and delivery delays. Additionally, fragmented data sources and a lack of predictive analytics hinder proactive decision-making in supply chain operations. To address these challenges, we propose an AI-based Smart Logistics Platform (AI-SLP), which leverages AI-driven predictive analytics and IoT-enabled real-time tracking to optimize route planning and inventory management. This platform integrates machine learning algorithms for demand forecasting, automated decision-making for dynamic scheduling, and IoT sensors for continuous monitoring of goods. The proposed AI-SLP enhances logistics operations by reducing transportation costs, minimizing delivery time, and improving inventory accuracy. Real-time insights enable proactive decision-making, ensuring better resource utilization and reduced wastage in supply chain processes. Findings from the proposed method demonstrate improved logistics efficiency, with a significant reduction in operational costs and enhanced customer satisfaction. The AI-SLP framework fosters a more resilient and adaptive supply chain, capable of responding to disruptions in real-time, making it a critical innovation for the future era of intelligent supply chain management.

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