Brands want to scale, create new offerings that attract customers, and improve the customer experience. One of the boldest directions is 3D solutions, 3D product modeling, and AR visualization, letting users try on or explore an item from every angle. But each such project comes at a cost: thousands of dollars to produce models for different products, plus all the hours that add up from designers and 3D artists. As customer expectations continue to grow, how can companies keep up with the demand for these innovations?
Generative artificial intelligence has become a real solution to this problem. It can turn ordinary photos into three-dimensional models in just seconds — no large team or huge budget required. Dmytro Kyrylov, a Creative Graphic Engineer and Designer, has spent the past several years building and scaling AI-driven AR and human-computer interaction systems that make immersive shopping, education, and media experiences safe, accessible, and affordable. In this article, he shared how brands can use advanced technology to transform their physical and digital product shelves.
The Bottlenecks That Held AR Commerce Back
“Before generative AI, creating AR content was a long routine,” Dmytro recalls. “As designers, we handled 3D modeling, added textures, and kept testing each model to make sure it worked in real conditions. For people passionate about their craft, that process was even fun, but brands care more about speed and budget efficiency, so not everyone was ready to take on bold AR ideas. Now with GenAI, everything has changed, and in my view, for the better. Mid-sized and even small U.S. businesses finally have the chance to use advanced technology and attract more customers through immersive experiences.”
Indeed, according to An Immersive Technologies Policy Primer (OECD, 2025), retail shopping is one of the most promising industries for AR adoption — from virtual try-ons and furniture visualization to interactive, gamified product exploration. Yet time- and cost-intensive workflows, along with the lack of unified 3D asset management systems, slowed progress. Different teams used different formats and tools that worked for modeling, but didn’t support fast scaling.
In Dmytro Kyrylov’s view, generative AI closes the gap between brand ambitions and the real accessibility of AR technology. He develops interaction layers that turn AR from one-off experiments into a reliable, repeatable infrastructure. These systems generate and optimize 3D assets using AI, perform quality and privacy checks, and speed up the entire process from initial build to final try-on. Because, as Dmytro believes, people should be able to try before they buy, creating an environment where every choice benefits both brands and consumers.
Generative AI as a Force Multiplier for 3D Design
Modern 2D-to-3D and Text-to-Texture models now turn ordinary product photos into interactive 3D models, automatically adjusting materials, lighting, and geometry — publishing results to online stores with a single click. In Dmytro Kyrylov’s career, GenAI has repeatedly accelerated AR development for major brands.
One standout case is Lunchables Playables by Kraft Heinz. The brand aimed to create an interactive Roblox experience connected to product packaging. Dmytro led the development of five AR games using Surface Recognition, Face and Body Tracking, and Music Sampling. Using GenAI in combination with familiar tools accelerated content creation. For example, a similar six-month campaign increased product sales by 22% and earned a Cannes Lions 2024 nomination in the “Brand Integration for Games” category.
Another success is the Shopify Glasses Try-On Plugin, where Dmytro built the MVP using 2D-to-3D GenAI. GenAI solutions from Geenee cut 3D solutions production time from 15 hours to 15 seconds, removing integration costs and helping the store grow its user base by 57% per month. “Now Shopify users can generate 3D glasses from catalog photos in one click and instantly try them on — a big step for accessibility in online retail,” says Dmytro.
In the Ulta Beauty Digital Advent Calendar, he applied Text-to-Image GenAI to create daily AR experiences — from animated filters to full-body-tracking games, attracting over 153,000 participants and earning praise from the brand’s leadership.
“GenAI won’t replace designers,” Dmytro notes. “It just helps us work faster and make AR affordable for more brands while giving users richer, more engaging experiences.”
Economic and Industrial Impact Across the U.S.
GenAI and AR are already shaping U.S. retail. According to MyTotalRetail, 66% of shoppers who can try on or examine a product in augmented reality are less likely to return it and feel more confident in their purchase. More satisfied shoppers equal fewer losses for the brand and a higher likelihood of repeat orders.
“I see the future of GenAI in democratization,” says Dmytro. “In the past, 3D try-ons or AR apps for immersive experiences were only possible for major brands willing to take risks and invest heavily in development. Now, thanks to artificial intelligence, creating AR solutions has become faster and more affordable: even small online stores can use them to attract customers and compete on equal terms.”
GenAI’s impact also extends to the labor market. New professions are increasingly emerging at the intersection of design, machine learning, and manufacturing, as they meet the demand for human-machine interfaces. This field is one of the key ones in the U.S. for critical and emerging technologies. The country’s market position will directly depend on their proliferation, so every multitasking specialist skilled in traditional tools and GenAI is important.
Conclusion: Building the Future of Immersive Commerce
Generative AI is becoming a standard that helps brands develop their own AR and 3D solutions. More bold ideas will come to life as GenAI saves time and resources in development, opening new opportunities for emerging businesses. Moreover, the integrations that Dmytro Kyrylov has already conducted with various retail brands are demonstrating a positive economic impact and bringing the U.S. closer to leadership in AR in commerce.
Rashan is a seasoned technology journalist and visionary leader serving as the Editor-in-Chief of DevX.com, a leading online publication focused on software development, programming languages, and emerging technologies. With his deep expertise in the tech industry and her passion for empowering developers, Rashan has transformed DevX.com into a vibrant hub of knowledge and innovation. Reach out to Rashan at [email protected]
