Anecdotal, sparatic ingestion of sentiment in merchandise lifecycle management and typically applied to thematic and campaign themes, not styles and products.
Goals and Objectives
Bring consumer preferences, experiences, and expectations into product and assortment offer development via analysis of written and visual social content and AI-enabled gamified consumer research to improve return on merchandise investment with on-trend offers.
Cloud, industry cloud, sentiment analysis, predictive personality insights, visual AI analytics, machine learning, and reasoning through market and competitive content
Use Case Summary
Improve lifecycle outcomes of product development and assortment offer strategies with timely introduction of more on-trend styles and product features