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: Agentic Commerce: How Retailers Can Make Their Products Discoverable and Shoppable for 800 Million ChatGPT UsersUS CPG: Why Unit Growth Has Stalled—and the Industry’s Path ForwardKey Festivals and Holidays for Promotional Campaigns in India in 2026: CalendarMarket Outlook: US Foodservice—Growth To Improve Amid Value-Focused Initiatives