Plushcap here, providing a concise summary of the text. Here's an overview of the key points: AI is expected to revolutionize supply chain management, with $17.5 billion worth of AI-based solutions predicted by 2028. Advanced computer vision (CV) frameworks are driving this growth, enabling organizations to automate their supply chain networks and boost productivity. CV algorithms allow manufacturers to use robots and automated detection systems to streamline manufacturing and supply chain workflows, reducing labor costs by 25% to 30%. Computer vision is transforming various aspects of logistics and supply chains, including inventory management, warehouse safety, transportation optimization, and quality control. AI-powered systems can automatically track inventory levels, monitor worker safety, optimize delivery routes, and detect product defects. Deep learning algorithms enable demand forecasting, predictive maintenance, and route optimization, leading to greater efficiency and cost savings. Edge computing and the Internet of Things (IoT) are also playing key roles in modern supply chain management. Digital twins and 3D modeling aid in simulating and optimizing processes, while advanced applications like predictive maintenance, route optimization, and fleet management are becoming increasingly important. Case studies from companies like Amazon, Tesla, and DHL demonstrate the potential of AI and CV frameworks to transform warehousing and logistics operations. However, implementation challenges such as high initial costs, integration issues, and data privacy concerns must be addressed to ensure successful adoption.