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: The US Consumer: Inflation, Gas Prices, Sentiment and Learnings from Earnings SeasonPersonal Financial Sentiment Hits Six-Month Low: Weekly US Consumer Sentiment, Week 48, 2025—Data Graphic2025 Tariffs: What Do US Consumers Think?—Proprietary Survey InsightsJanuary 2026 US Retail Sales Outlook: Projecting More Than 3% Growth as Retail Outlook Score Improves