Adobe Research at Summit Sneaks 2022: See how AI and augmented reality will transform digital experiences

March 21, 2022

At this year’s Adobe Summit, a global community of marketers gathered virtually to learn about the latest in personalized digital experiences.

The event featured sneak peeks of four Adobe Research-led projects and two with contributions from the Adobe Research team. With help from actress Kristen Bell, leaders of the projects presented pioneering new technologies. These included a tool that uses augmented reality to accurately show the scale of an item in a customer’s home, AI that understands how customers really feel about their digital experiences, and more.

Here’s a look at the Sneaks that Adobe Research helped create for this year’s Summit Sneaks.

Project KPI Pop

While key performance indicators (KPIs) can show you how a marketing campaign is performing and whether it’s going to help a team hit their revenue goals, Project KPI Pop gives marketers even more insight. Using Adobe Sensei to analyze millions of data points from the Adobe Experience Platform, KPI Pop shows exactly which parts of a campaign are resonating with customers—and which aren’t. Then, Project KPI Pop’s scenario planning feature recommends actions marketers can take to keep KPIs on track.

Presenter: Fan Du
Collaborators: Gaurav Sinha, Vibhor Porwal, Aurghya Maiti, Saurabh Mahapatra, and Saptho Nair

Project Right Sized

Did you know that customers return an estimated 40 percent of the things they buy online? Most often, it’s because of size. So, Project Right Sized uses augmented reality (AR) to help customers understand product sizes before they buy. Businesses can embed invisible AR markers into the images on their websites. Then, customers take a photo of the product image on their screen, and automatically see a true-to-size image rendered in their own space.

Presenter: Chang Xiao
Collaborators: Ryan Rossi and Eunyee Koh

Project Winning Scores

Marketers want to know more than just where their customers click—they want to know how customers feel about their digital experiences. Project Winning Scores uses AI, powered by Adobe Sensei, along with Adobe Analytics data to compute a browsing experience score for every visitor to a website. It’s all done without asking customers a single question. With Project Winning Scores, marketers can understand which browsing paths lead to lower scores, so they direct customers to the best experiences, re-engage them, and increase the chance of conversions.

Presenter: Shiv Saini
Collaborators: Atanu Sinha, Fan Du, Prithvi Bhutani, Jeff Chasin, Kevin Cobourn, Eric Matisoff, and Nikhil Sheoran

Project Style Blast

Digital marketers want every one of their customers’ preferences with a brand to be incorporated into their business emails. Enter Project Style Blast, a new tool in Adobe Journey Optimizer’s email designer. Project Style Blast uses AI and machine learning powered by Adobe Sensei to help marketers understand what’s resonating with customers. Then it helps marketers use that knowledge to create, experiment with, and deploy email content and images that are just right for each target audience.

Presenter: Gromit Chan
Collaborators: Shunan Guo, Caroline Kim, Cole Connelly, and Andrew Thomso

Project Demand Detector

Experts expect supply chain issues to continue into late 2022, so retailers are looking for new tools to help them stock in-demand products. That’s why Project Demand Detector uses AI and machine learning to analyze millions of points of data from a merchant’s website and detect which products visitors search for—but don’t find. The tool helps retailers pinpoint which high-demand products to stock, and it helps retailers find the best vendors based on past experiences, so they can quickly address gaps in their catalogs.

Presenter: Dej Mejia
Contributors: Eunyee Koh, Andrew Thomson, Ani Hammond, Arjun Athreya, Catherine Chiodo, Dustin Ground, Lauren Dest, and Michele Saad

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 more than 300 million 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 e-commerce sites.

Presented by: Lauren Dest
Contributors: Michele Saad, Jose Echevarria, Nate Baldwin, Dustin Ground, Matt May, Xin Wang

Wondering what else you might have missed from Adobe Summit this year? Get all the details here.

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