Adobe Summit Sneaks provide a glimpse into a future of AI-powered personalized experiences
Customers expect brands to anticipate their needs and provide them with personalized experiences. Brands that are able deliver on this promise are already seeing increased customer retention and loyalty.
At this year’s Adobe Summit, we are showcasing Adobe’s latest innovations during the “Sneaks” event. Sneaks are projects submitted by employees that provide a look to the future as they show how we are thinking about our technology and the new ways it can be used to create personalized experiences.
This year’s Sneaks used AI to better anticipate customer needs and gave viewers a peak into how brands can look to new technology, such as augmented reality, to deliver engaging personalized experiences that can increase customer conversions and lead to higher profits and customer loyalty.
The finalists at this year’s Adobe Summit 2022 Sneaks harness the power of Adobe Experience Cloud to deliver more intelligent, interactive, and accessible customer experiences.
More on Sneaks finalists for Adobe Summit 2022 below.
Project demand detector
With supply chain challenges expected to continue to impact retailers well into late 2022, retailers are looking for new methods and technologies to help them get ahead of trends and stock in-demand products that meet customer demand.
This project uses AI and machine learning to analyze millions of data points to detect in-demand products that site visitors are searching for and not finding on a merchant's site. It can pinpoint which out-of-stock items are in highest demand so merchants can proactively identify if they should stock certain products. This feature also makes it easy for merchandisers to easy find out which vendors it would be best to purchase from to help stock the trending products based on past experiences with the vendor, so they can see which could help them to quickly address gap in their catalog.
Project KPI pop
Key Performance Indicators, or KPIs, are important measures for understanding how a marketing campaign is performing and if the activations they are sending to customers will help them to hit revenue goals. This project uses Adobe Sensei to analyze millions of data points from Adobe Experience Platform so marketers can quickly identify what parts of a campaign are not resonating with customers. It also recommends what actions marketers can take, via a scenario planning feature, to course-correct any issues that are discovered so they can keep KPIs on track.
Project right sized
It’s currently estimated that customers return an estimated around half of what they buy online, mostly because of sizing issues. This project helps marketers solve sizing problems with more accurate augmented reality, or AR. Businesses first embed invisible AR markers into digital product images on their websites. Customers then simply take a photo of the product image on their screen to have the true-to-size product image rendered in their home thanks to AR tools that overlay the image into their own space.
Project winning scores
Being able to pinpoint how a customer feels while interacting with a digital experience can help marketers see where they need to make adjustments to increase repeat purchases.
Project Winning Scores uses AI powered by Adobe Sensei to create customer experience scores for visitors to a website by tapping into existing Adobe Analytics data and computing the browsing experience score for every visitor to a website. With this Sneak, marketers can understand more than just what customers are doing, but how they feel while interacting with a website. It also helps marketers identify which paths are leading to those scores so marketers can re-engage customers to increase chances at future conversion.
Project quick connect
With more work being remote and teams being distributed, businesses require new tools that quickly connect their teams and provide visibility into how marketing campaigns are doing. This new project gives executives the ability to communicate with team members no matter where they are working in Adobe Experience Cloud. Marketers can discuss and share data and images to determine the actions to take based on discovered insights. They can also save relevant parts of the chat as Adobe Analytics Annotations or within Adobe Workfront for posterity.
Project style blast
Customers now demand every interaction they have with a brand to be customized to their individual preferences. This project makes it easy for marketers to identify, style, and deploy email marketing content that will resonate with target audiences. This new tool in Adobe Journey Optimizer’s email designer uses Adobe Sensei’s AI and machine learning capabilities to help marketers easily identify, style, experiment and deploy email content, images, and more that will resonate with target audiences.
Project design decoder
As more businesses shift to a digital first economy, there has never been a better time to put disability inclusion front and center. The new project applies machine learning and computer vision to help make online shopping more accessible for the 300M+ people globally with vision deficiencies. It can detect product images that are problematic for consumers with low vision or color blindness and instantly transform them into accessible renditions for customers shopping on their e-commerce site.