# Artificially Intelligent Stylists Propulse Delivers Recommendations by Analyzing Consumer Desires By Laura McQuarrie | Published 2017-02-24 | Art & Design Source: Trend Hunter, https://www.trendhunter.com/trends/propulse References: [psfk](http://www.psfk.com/2017/02/ai-stylist-shoppers-purchase.html) & [propulseanalytics](http://www.propulseanalytics.com/en/) 'Propulse' is described as the "most advanced independent [e-commerce prediction tool](https://www.trendhunter.com/trends/agentic-commerce-recommendation) 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](https://www.trendhunter.com/trends/amazon-interests). 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](https://www.trendhunter.com/trends/ai-guided-selling), Propulse offers the same experience, but online. ## Trend Insights (Trend Hunter) - Score: 2.3/10 - Popularity: 22% | Activity: 39% | Freshness: 8% - Audience gender: 50% men, 50% women - Primary generations: Millennial, Gen X - Top markets: North America ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Art & Design](https://www.trendhunter.com/artdesign) > [Customization](https://www.trendhunter.com/customization) ## Key Themes ### Key Themes Behind This Trend - **AI-powered Personalization:** The trend of using artificial intelligence to provide highly personalized recommendations based on deep consumer analysis presents disruptive innovation opportunities in the retail industry. - **Big Data Analysis:** The trend of leveraging big data and analyzing independent variables to understand consumer preferences can lead to disruptive innovation in the e-commerce industry. - **Machine Learning in E-commerce:** The trend of utilizing machine learning algorithms to provide smarter product suggestions opens up disruptive innovation opportunities for online retailers. ### Where This Applies - **Retail:** The retail industry can benefit from adopting AI-powered personalization tools to deliver highly customized shopping experiences to customers. - **E-commerce:** The e-commerce industry can leverage big data analysis to gain insights into consumer preferences and offer relevant product recommendations, enhancing the online shopping experience. - **Technology:** The technology industry can explore the use of machine learning algorithms in e-commerce platforms to provide more intelligent and accurate product suggestions, driving customer engagement and sales. ## Related on Trend Hunter - [AI-Powered Stylists](https://www.trendhunter.com/trends/fitcheck-ai.md) - [AI-Powered Search Features](https://www.trendhunter.com/trends/shop-premium-outlets.md) - [AI Shopping Assistants](https://www.trendhunter.com/trends/targetpilot.md) - [AI Style Consultants](https://www.trendhunter.com/trends/styleadviceai.md) - [Personalized AI Style](https://www.trendhunter.com/trends/cutmuse.md) - [AI-Powered Ecommerce Technologies](https://www.trendhunter.com/trends/hugo-boss-2.md) - [AI-Powered Personal Shoppers](https://www.trendhunter.com/trends/perplexity-shopping-experience.md) - [AI Fashion Assistants](https://www.trendhunter.com/trends/your-ai-personal-stylist.md) - [AI-Powered Shopping Companions](https://www.trendhunter.com/trends/ai-powered-shopping-companions.md)