At Dreamforce 2016, Salesforce officially unveiled Einstein, AI for Everyone, which removes the complexity of artificial intelligence and enables any company to deliver smarter, personalized and more predictive customer experiences. Fast forward just one year – AI Trailblazers from all over the world, from a cross section of industries, were everywhere at Dreamforce 2017.
Einstein was present throughout the four-day event. Attendees learned that Einstein removes the complexity of data science and injects the power of artificial intelligence into existing business applications and tools, enabling the average marketer, service rep or ecommerce team member to tap into AI without spending tons of extra time or money hiring a data scientist.
In the various product keynotes, attendees learned how Trailblazers are using Einstein to transcend the status quo. In Marc Benioff’s keynote, we learned about myEinstein, which gives Trailblazers everywhere (regardless of industry) the ability to build their own AI-powered applications. Stephanie Buscemi Executive VP of Products and Solutions, shared the story of Trailblazer adidas which uses Einstein Predictive Sort from Commerce Cloud, to personalize the order of search results and category pages so that shoppers see the most relevant products for them first. Adidas is able to eliminate the time-consuming process of manually merchandising search and category grid pages so that their ecommerce team can focus on more important tasks like curating amazing content on site.
The Commerce Cloud keynote showcased more Trailblazers who are using Einstein to power personalized shopping experiences and alleviate manual merchant tasks. Kathryn Murphy, VP of Product Management, shared how Trailblazer UGG is using AI to supercharge their entire mobile shopping experience. From type-ahead, personalized search with Einstein Search Recommendations to smarter synonym dictionaries with Einstein Search Dictionaries, UGG is embracing the future of smarter search with AI-powered Site Search features from Einstein. Nancy Darish, Senior Director of Product Marketing, walked attendees through several LVMH sites including Marc Jacobs. Marc Jacobs has turned on Einstein Product Recommendations to power personalized recommendations for every shopper, authenticated or anonymous. Instead of spending hours choosing the perfect recommendations for every product, Marc Jacobs is letting Einstein automatically make the best choice for each shopper.
In one of Commerce Cloud’s Einstein breakout sessions, Trailblazer Paul Zaengle from fashion brand Stance shared the story of how his team is saving valuable time with Commerce Cloud Einstein. Instead of having an employee devoted to manually merchandising its products online, Stance is using Einstein Product Recommendations and Einstein Predictive Sort to power smarter and faster product choices. Now, that member of the ecommerce team can focus on more exciting initiatives like Stance’s brand new subscription service. Paul also joined attendees in a roundtable where he shared his ideas for the future of AI- powered commerce.
The Einstein Observatory was ground zero, the hub for Einstein across all Salesforce clouds. Attendees visited the zone for demos from every cloud; many included an Augmented Reality experience. By donning special glasses, viewers could learn more about that cloud’s Einstein features – from best practices to stats to customer quotes. Commerce Cloud Einstein also participated in the Einstein theatre by sharing the PacSun story. Similarly to Stance, PacSun uses Einstein to make their team of just three smarter and faster. With Einstein Commerce Insights, the ecommerce team can get a view into how shoppers are purchasing so they can create smarter product bundles, sets and marketing campaigns.
Dreamforce is a family reunion for our Salesforce Ohana but this year it was also a wonderful opportunity to learn more about the world of Einstein, especially at the Commerce Cloud. Check out our brand new report, Personalization in Shopping, which takes a deep dive into exactly how AI-based personalization impacts traffic and revenue.