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 paying subscribers only. Already a paying subscriber? Please log in to see the entire report.If you wish to learn more about our subscription plans and become a paying subscriber, click here. This document was generated for Other research you may be interested in: 3Q23 US Retail Inventory Insights: Positive Factors Pave the Way for Better Inventory Turnover in the Holiday QuarterChina’s Quick Commerce Market: Competitive Landscape and Emerging Trends Point to GrowthDollar Stores Thrive Amid Economic Concerns: US Consumer Survey Insights 2023, Week 46Coresight Bites: US Store Tracker Extra—Developments in February 2023