Insight ReportCoresight Matrix: AI Software for Optimization Coresight Research March 26, 2020 Reasons to ReadThis report is part of the Coresight Matrix series, to help readers better understand what is happening in key segments and with key players in retail technology. This report examines the artificial intelligence (AI) for optimization segment and uses our Coresight Matrix to evaluate leaders and emerging players. In particular, we look at how machine learning-powered AI can help with: Pricing: Optimizing pricing and discounting to bolster revenues, margins and profitability. Inventory: Optimizing inventory to have the correct amount and value of inventory to avoid margin-depleting markdowns and to free up cash. Assortment: Optimizing assortment enhances profitability, avoids markdowns and excess inventory. 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: US Store Openings and Closures Midyear 2025 Review and Outlook: Where Does Retail Real Estate Stand in a Year of Disruption?DeepSeek: The Chinese AI Startup That Has Overtaken ChatGPT on Apple’s App StoreHead-to-Head in Global Discount Grocery Retailing: Aldi vs. LidlChinese New Year 2026 Review: A Shift Toward Extended, Segmented and Experience-Driven Consumption