To keep up with this demand, retailers are embracing technology not only in logistics but also in customer experience to stay ahead of the competition. According to CB InsightsGlobal spending on retail AR/VR displays is expected to grow at a compound annual growth rate of 138.7 percent through 2023, solving a number of challenges for retailers – one of which is inclusiveness for fashion retailers.
Fashion for everyone
“Today, if you look at most shopping platforms globally, you wouldn’t say there is an ideal level of diversity and inclusiveness among catalog models. The problem is that achieving that ideal level of diversity is often very expensive.” Arvind NairCEO of NeuroPixel.AI, a technology startup whose proprietary algorithms from Deep Neural Net (DNN) create lifelike artificial human models, helping to automate the manual and repetitive process of cataloging clothing.
To help its customers build a virtual experience platform, the company’s solution makes use of Artificial Intelligence and Machine Learning (AI/ML) to create digital models of clothing to fit the profile of any potential buyer. “We can enable garments to be visualized just once on a mannequin, and our DNN framework will help you drape garments onto models of different sizes and poses seamlessly and cost-effectively. Our technology will lead to a better online shopping experience for customers by enabling them to visualize what it would look like Same clothes on models of different sizes and ethnicities,” explains Arvind.
NeuroPixel’s beginnings weren’t an ordinary, emotionally charged startup story, insists Arvind, an Indian business school graduate who has worked on revenue growth at Myntra. Meet his co-founder Amritendo Mukherjee, CTO at NeuroPixel.AI in 2020 on an international accelerator program, Arvind still had to work to get Project Amritendu in business with him. “I had to fight a lot to get him to join me and look for something in e-commerce at that point. But we framed it, we did it very logically — it wasn’t like one of those emotional problems that people have that inspire you to build a startup,” Arvind says. .
“We went all in on both of our experiences and it would give us a chance to succeed. We have our differences and disagree about certain things but even then we still manage to go out and have a drink at the end of the day. It’s like any relationship, it’s that simple,” adds Amritindo, getter. He holds a PhD from the International Institute of Ismaili Studies (IISc) specializing in applied machine learning in the field of image processing.
In just over a year, NeuroPixel has assembled a team of 15 research engineers and 3D design professionals and created a beta version of their product that garnered interest from e-commerce company Flipkart’s LEAP accelerator program, giving them support and advice from online retail experts. “What we are working on is incredibly resource intensive and difficult to achieve – which is why we first focused on assembling a highly qualified team from India’s foremost research institute, IISc, and have engineers from some of the best colleges in not only India, but also the world,” Arvind explains. .
solutions through open communication
To help NeuroPixel train its DNN algorithm with the AI/ML computing power it needs, the Intel startup helped the company by providing a Gaudi processing platform from Intel’s deep learning-focused Habana Labs unit.
Guide Rajaraman Ramanarayanan, Deep Learning R&D Engineer, Intel India says that working with the NeuroPixel team has been very smooth, as the team has made rapid progress building out their technology stack. “They are very open in sharing their problems, requirements – whatever we asked about their product expectations, visions and challenges. This is important because we can better understand how to help them with solutions from our side and take appropriate steps,” says Rajaraman, adding that the founding team’s enthusiasm for their product is not seen very often. in startup companies.
Arvind considers NeuroPixel lucky to be part of the Intel Startup Program. “We are very excited about this partnership because training our algorithms requires significant computational power on an ongoing basis. Like most deeptech startups, it’s a great opportunity for us to get expert advice from industry veterans on how best to improve our training strategy, and how we can perform Some experimentation with Intel’s flagship infrastructure to improve costs in the long run,” he says.
Scaling and publishing
The company has so far signed agreements with two local clients to roll out their product within the next three months, with plans to take the company internationally to Singapore and Dubai in about six to nine months.
In the long term, NeuroPixel sees its products evolve into a self-service cataloging platform, where customers can simply upload clothing to a mannequin, choose the model and pose, and seamlessly download high-quality images.
“Enabling this cost effectively at scale will lead to more engagement with the end consumer, which should translate into a higher conversion rate (more sales) and lower revenue and exchanges (lower operations costs, higher profit margins). We are certain that What we are building has the potential to be one of the biggest growth drivers in the fashion e-commerce world over the next few years,” concludes Arvind.
Intel Startup Program: Empowering startups to scale their game-changing innovations
The Intel Startup Program is Intel India’s flagship program for technology startups with IP or innovative solutions that have the potential to make an impact on customers and align with Intel focus areas. The program is at the forefront of the startup ecosystem in India through high-impact collaborations with industry, academia and government, and manages multiple initiatives that are either vertically aligned or focused on emerging technologies.
It engages with startups that have a unique global or local value proposition to solve real customer problems, empowering them with domain and business expertise from industry and mentorship from Intel.