Deep Dive 16 minutes PremiumArtificial Intelligence in Retail, Part 1: Applications Across Customer-Facing Functions Coresight Research May 29, 2018 Executive SummaryThis report is the first in a short series looking at the application of artificial intelligence (AI) in retail. Here, we explore AI applications across the customer-facing functions of retail. Our proprietary CORE (communication, optimization of pricing, rationalization of inventory and experiential retail) framework demonstrates the applicability of AI in customer-facing functions. The technology can be used for: Communication—online personalization, conversational robots, chatbots and voice shopping. Optimization of pricing—demand forecasting, market and competitor analysis, and promotional strategies. Rationalization of inventory—automated shelf and inventory audits, demand forecasting, automated replenishment, and excess stock reduction. Experiential retail—delivery of new ways to discover, buy and pay. Click here to view more reports on AI in retail. 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: How US Consumers Are Shopping for Groceries: Analyzing Traffic, Ticket, E-Commerce and Private LabelRobotics in Retail—Part 2: Service Bots Automate and Upgrade the In-Store ExperienceResearch Preview: Market Navigator—Global LuxuryIn-Store Shopping Thrives Over Holiday Peak: US Consumer Survey Insights