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. This report is for subscribers only. Learn more about subscriptions here.If you are a subscriber, please log in. This document was generated for Other research you may be interested in: Shoptalk Europe 2023 Day One: Identifying Real Value in Sustainability, Generative AI and DataFinancial Health Update and Consumers’ Increase in Activity: US Consumer Tracker 2023, Week 25Earnings Insights 3Q23, Week 5: Burlington and Urban Outfitters Report Solid Results; Kohl’s, Lowe’s and Others See Sales DeclineUS Retail and E-Commerce—Uncovering Opportunities in a Changing Landscape: Highlights from the Market Navigator