Insight Report 4 minutes PremiumSupply Chain Briefing: Seven Ways Machine Learning Improves Efficiency Coresight Research July 17, 2019 Executive SummaryIn our weekly Supply Chain Briefing series, we discuss how technology is transforming the various stages of the retail supply chain, including product design, demand forecasting, manufacturing, logistics, warehousing, last-mile delivery and sales. This report discusses machine learning, a branch of Artificial Intelligence (AI) that generates insights from data to help companies make better decisions and predictions. AI and machine learning have the potential to create around $2 trillion in value by 2020 in manufacturing and supply chain planning, according to McKinsey. Machine learning can deliver personalization to shoppers that facilitates better inventory management by anticipating what the customer is likely to buy. Machine learning can help retailers optimize routes for more efficient delivery based on prior consumer behavior data. This report is for paying subscribers only. Already a paying subscriber? Please log in to see the entire report.If you wish to learn more about our subscription plans and become a paying subscriber, click here. This document was generated for Other research you may be interested in: Understanding Cross-Channel and Cross-Category Shopping: US Consumer Tracker Extra, July 2023Retail Around the World: Black Friday 2023—Coresight Research ObservationsMarch 2023 UK Retail Sales: Online Sales Return to GrowthWeinswig’s Weekly: There Go Amazon’s Private Labels!