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: Agentic Commerce: What Retailers Need to Know for Holiday 2025 and to Succeed in 2026—Premium Subscriber Call, October 2025August 2025 US Retail Sales: Growth Normalizes as July’s Promotional Boost FadesHigh Income Consumers’ Sentiment Improves; Government Shutdown Impacting Shoppers: US Consumer Survey InsightsRetailTech: Empowering Retail’s Front Line, Creating Smarter Stores—Five Tech-Driven Strategies for Associate Enablement
