Digital Mission

Experiential Retail

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Omni-Experience Customer Engagement Contextualized Experience

Contextualized Recommendations

Current Situation

Product recommendations are based on similar customers’ purchasing behaviors and patterns, historical sales data, market trends, and a single person’s preferences.

Goals and Objectives

AI-driven contextualized product recommendations are informed by data about the person and the dynamic state of his/her world based on what is happening, said, needed, and expected “now” in the context of achieving the retailer’s goals for the relationship, campaign, and message.

Technology Deployed

Cloud, IoT, time-stamped geospatial analytics, unstructured data analytics, ingestion of worldwide data sources, customer journey analytics, natural language processing, predictive behavioral analytics, natural language expression, trade-off analytics, and multicloud management

Use Case Summary

Align customer dialogue to the roles, behaviors, historical purchasing, preferences, and location of the person who needs, buys, and uses the retailer’s products in the context of the person’s current world.

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