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NRF 2020 Artificial Intelligence EXPO Tour

Posted on: December 18, 2019 | Posted by: Sona

NRF 2020’s Artificial Intelligence EXPO tour

Discover the Transformative Benefits of AI in Retail

NRF is the world’s largest retail conference—with over 38,000 attendees and 800 exhibitors—uniting the entire industry under one roof to discuss emerging trends and innovations in the retail industry.  This year, to connect retailers with industry leaders delivering the latest technology across disciplines, NRF is offering four curated EXPO tours centered on key areas driving the future of retail: Artificial Intelligence, Digital Experience & Ecommerce, Customer Experience, and Future and In-store Technology. During the two-hour tours, retailers will be guided to the booths of NRF’s top selections for each category, where they can learn more about the best-of-breed technology driving retail innovation. Attendees need to register for the EXPO tours to meet the industry’s top picks for AI technology providers

In the Artificial Intelligence category, ZineOne is one of the 28 top technology providers selected as a stop on the EXPO tour. At our booth, retailers will learn first hand from our team of experts how ZineOne’s AI-powered Intelligent Customer Engagement (ICE) platform enables our clients to leverage in-the-moment personalization to elevate the customer experience and drive greater sales. 

In anticipation of meeting our team on the tour, here are just a few examples of the in-the-moment personalization you’ll discover at our booth: 

Example 1: Environment-Based Decisioning  

William has only ever browsed the men’s section at his favorite department store. Based on real-time data derived from his mobile device, where William has enabled location services, the department store recognizes he lives in Portland, Maine. Weather forecasts for his zip code inform the department store that the first heavy snowfall is forecasted for the upcoming week. Armed with this data, the department store sends him an email with the subject line: “William, have you found the right jacket for the rapidly approaching winter season?

He clicks the email on his laptop and is seamlessly brought to the men’s outwear page, filtered by his size. After adding a couple of styles to his cart, the department store recognizes that William is primarily attracted to one specific brand’s styles. When he clicks to his cart to narrow down his options, he is then served up an in-session coupon:

William, get 30% off the purchase of a second jacket when you buy two of the same brand.” Satisfied, William decides to buy two jackets, applying the promotion code to his cart and completing the transaction. 

By pairing Williams’s customer profile with information on his current location down to the zip code, the department store is able to serve up highly relevant shopping experience for the customer, ultimately securing a higher sale.

Example 2: Loyalty Apps

As Tasha is completing an order for a pair of slippers on her laptop, she is offered a 10% discount on her purchase for downloading the retailer’s app and signing up for their loyalty program. Excited about the potential savings, Tasha downloads the app, adds her payment information, and completes the order on her phone. A week later, she is once again scrolling shoe options on her laptop, where she adds a pair of sneakers to her cart, but gets interrupted before she can make the purchase. The next night when Tasha arrives at home—a location the retailer can identify through her customer profile—her loyalty app sends a push-notification to her phone that displays the shoes in her cart: “Hurry, only 2 left in stock in your size.” Not wanting to miss out, Tasha taps the notification, which seamlessly takes her to her cart. There, she uses her card on file to complete the transaction with a single click.

Retailers empowered with an AI-based personalization platform can create a mobile experience that is both personalized and convenient, serving up content based on the customer’s real-time context and enabling a seamless journey across multiple channels. 

Example 3: Geo-fencing

Valerie enters the mall in search of a new outfit for the weekend. As she walks in, she penetrates her favorite beauty shop’s geo-fence, alerting the store to her presence. Looking at her customer profile, the beauty store recognizes that she was browsing their newest lipstick shades online a few days early, and so sends a push notification to her loyalty app: “Valerie, what’s your favorite shade? Stop by today to explore our newest lipsticks.” Excited, Valerie decides to head over to the beauty shop, where she meets with a beauty consultant who helps her pick up a new shade of lipstick to match her new outfit.

By leveraging an AI platform that not only utilizes geofencing to recognize the customer’s proximity to the store but also accesses data on prior search patterns to inform recommendations, the beauty shop ensures customer outreach remains relevant and drives greater traffic to their stores, where sales associates can further assist in building personalized experiences.

Interested in learning more about how AI empowers in-the-moment personalization for retailers? Register today for NRF’s Artificial Intelligence Expo Tour to meet the industry’s top picks for AI technology providers, and to speak to a ZineOne expert about our AI-powered personalization platform’s ability to elevate your customer’s journey.