Insight ReportSupply 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. Already a subscriber? Log in You are currently viewing a preview of this report. Please select an access option to view the full report. Hide Options - Show Options + Get unlimited access to all our research with one of our subscription plans. View Subscription Plans or Contact us to purchase this report. Contact us ✕ This document was generated for Other research you may be interested in: Economic Sentiment Turns Negative This Week: Weekly US Consumer Sentiment, Week 37, 2025—InfographicDisrupting Retail: Lessons from SHEIN and TEMU on Redefining Consumer Engagement and Supply Chain InnovationWeekly US Store Openings and Closures Tracker 2025, Week 20: Bob’s Discount Furniture Announces Store-Expansion PlanWeekly UK Store Openings and Closures Tracker 2025, Week 27: Store Closures Up 8% Year Over Year
