Computer Vision and Deep Learning for Logistics - PyImageSearch

In today's competitive market, having an efficient and flexible supply chain is a significant asset. Hence, companies are looking into ways to optimize their supply chain to help them make decisions to improve their operational efficiency and customer satisfaction and reduce environmental impacts. According to McKinsey reports (Figure 1), AI will define a new "logistics paradigm" by 2030. It will generate $1.3-$2 trillion per year for the next 20 years as it continues to outperform humans at repetitive but mission-critical tasks. In another similar research, McKinsey has reported that businesses, by using AI, can improve their logistics, inventory, and service costs by 15%, 35%, and 65%, respectively. This series is about CV and DL for Industrial and Big Business Applications.