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Furniture shopping has traditionally had two major limitations: inventory and imagination.
The typical retail customer's crap shoot: walk into a showroom, examine the limited number of offerings on the flooring and option out something, even if it'southward not exactly what they're looking for. The more than ambitious might up the game by looking in a catalog or comparing color swatches, and and so endeavor to imagine what the new loveseat might look similar in their living room.
Thanks to advances in artificial intelligence and machine learning, that's changing. A scattering of companies and university researchers are testing GPU-powered deep learning techniques in online and offline retail settings that will make shopping easier and more precise than ever.
Two examples: The startup GrokStyle is developing an app that lets consumers snap photos of piece of furniture they similar, whether from a catalog or in person, and then detect matches and determine availability at a variety of online retailers. And home effects giant Ashley Furniture HomeStores is taking the guesswork out of shopping by letting people view products in virtual representations of their ain living spaces.
"Our goal is to span the gap between inspiration and purchase, and make information technology easier to find and buy interesting things that you find online or in the world," said Sean Bong, CEO and co-founder of GrokStyle.
Bringing Computer Vision to Retail
The idea for GrokStyle grew from Bong's doctoral work at Cornell University with one of his professors, Kavita Bala, who co-founded the immature company and serves as chief scientist. The pair noticed a substantial divide between the research breakthroughs in the field of computer vision and what was being made available to consumers and retailers.
Even though in that location were millions of photos of products available online, at that place was no easy way to browse or admission them, much less lucifer a photo to one of them.
The pair created an algorithm to match photos, training tens of thousands of models on millions of images using NVIDIA GPUs, the CUDA parallel computing platform and the CUDA deep neural network library. AWS machines (EC2 G2 and P2 series), powered by NVIDIA GPUs, process and match uploaded images against a massive database of home effects.
"GPUs have been critical in allowing united states of america to efficiently train, examination and deploy neural network models," said Bell. "This technology could not have existed without GPUs. It allowed us to more quickly explore and compare algorithms."
Bell said GrokStyle'due south engineering science could be applied to many consumer products, but piece of furniture proved a good strategic starting indicate.
"Nosotros chose to initially focus on furniture since there is a stiff aesthetic and visual component, and considering we were able to demonstrate even higher accuracy due to the rigid nature of furniture objects," he said.
Bell foresees GrokStyle's engineering eventually helping retailers in industries such as style, real estate, art, design and robotics, to name a few. If it sounds like he envisions the company'south engineering beingness everywhere, that'southward because he does.
"Nosotros would like to go the platform for visual search and artful-related AI," he said. "Nosotros accept looked at every part of the visual search pipeline and improved it, which in combination gives united states the most accurate visual search algorithm for retail."
VR for an Emotional Connection
While GrokStyle is focused on online shopping, virtual reality house Marxent has been working with Ashley Article of furniture HomeStores, the land's largest brick-and-mortar furniture retailer, on an in-shop VR tech bar and VR app that are expected to exist introduced afterwards this year.
Ashley is using Marxent's VisualCommerce platform to create and scale their product catalog, and publish new 3D product experiences for AR and VR. These experiences will not only let customers shop well-nigh, but also place them within their ain homes to see how they'd look.
To do that, Marxent has been relying on NVIDIA GeForce GTX 1080 GPUs to provide the necessary processing power to render VR images effectively. Vince Kilian, product director at Marxent, said that VR demos accept to run at a minimum refresh charge per unit of 90 Hz, enabling them to support a speed of 90 frames per second, or they risk making people sick.
"GPUs practise all the heavy lifting for usa," said Kilian.
The goal, said Kilian, is to requite consumers a more emotional connexion with the shopping experience. Not every prospective Ashley customer lives most one of the visitor's stores, so Kilian would eventually like to host VR apps in the deject so people tin can have a life-like shopping experience in their homes.
"We're in that early stage where not everybody has a Vive or an Oculus or a PC capable of running these high-end graphics," he said. "I imagine a world where these types of experiences are in high need and take off."
Source: https://sellables.net/category/news/
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