Question of the WeekHow Can Prescriptive Analytics Determine Retailers’ Corrective Actions? Coresight Research July 13, 2020 QUESTION OF THE WEEK: How Can Prescriptive Analytics Determine Retailers’ Corrective Actions? Prescriptive analytics has five core capabilities that incorporate machine learning to suggest corrective actions to retailers: Anomaly detection, whereby performance that deviates from an average or baseline for a variety of retail metrics is identified; assessing hidden demand—revenues that retailers could have collected but missed; sentiment analysis; clustering—the aggregation of similar customers, employees or stores; and shrink This document was generated for Other research you may be interested in: Enhance Shopping and Customize Care: Three Technologies Transforming the Drugstore and Pharmacy Retail LandscapeResponses to Inflation—Trading Down in Food and Nonfood Remains a Critical Shopping Strategy: US Consumer Survey InsightsThe Sentiment Split: Optimism at the Top, Strain at the Bottom; Plus, Social Commerce Shopping in Focus—US Consumer Survey InsightsUS Store Tracker Extra, June 2025: 120+ Million Square Feet of Retail Space To Close This Year, Outpacing Openings by Over 1.5X