Digital Mission

Experiential Retail

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Curated Merchandise Life-Cycle Management Curated Product Assortment and Positioning

Sentiment Analysis

Current Situation

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.

Technology Deployed

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

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