Free Trend Report Free 2019 Report & eBook

Get the top 100 trends happening right NOW -- plus a FREE copy of our award-winning book. Our Research Methodology

This article is one of 350,000 experiments. We use crowd filtering, big data and AI to identify insights.

Propulse Delivers Recommendations by Analyzing Consumer Desires

 - Feb 24, 2017
References: propulseanalytics & psfk
'Propulse' is described as the "most advanced independent e-commerce prediction tool in existence." This is because Propulse uses Big Data, deep learning, natural language processing and machine learning to discover a consumer's personal tastes, rather than only relying on cookies that reveal a shopper's purchasing and browsing history.

The AI-powered Propulse boasts that is is capable of considering more than 39,000 independent variables in order to give consumers smarter product suggestions. As CEO Eric Brassard puts it, "When you look at companies currently trying to customize online shopping experiences, you can’t help but notice a massive gap has emerged between 'personalization' and 'recommendation.'"

In the same way that consumers are able to receive highly personalized recommendations from store associates, Propulse offers the same experience, but online.