Artificial Intelligence and IoT-Based Smart Warehousing: A Comprehensive Review of Technologies, Applications, and Research Gaps
Keywords:
Artificial Intelligence; Internet of Things; Smart Warehouse; Demand Forecasting; Inventory Optimization; Dynamic Slotting; Robotics; Predictive Maintenance; Computer VisionAbstract
Warehouses are evolving into highly connected, dataintensive environments in which demand uncertainty, inventory cost,space utilization, robotic movement, equipment reliability, andproduct quality must be managed simultaneously. The literaturereviewed for this study demonstrates substantial progress in Artificial Intelligence (AI), Internet of Things (IoT), machine learning, deeplearning, robotics, predictive analytics, and computer vision forindividual warehouse functions. However, most existing approaches
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