facebook Created with Sketch. instagram Created with Sketch. linkedin Created with Sketch. twitter Created with Sketch.

Futurist Bernard Marr Spots Stylumia

| 3 min read

Bernard Marr spots Stylumia. As we keep making an impact for brands and retailers globally, this is yet another validation of our mission and direction in reducing guesswork and wastage.

Bernard Marr, a world-renowned futurist, influencer, and thought leader in the fields of business and technology spotted Stylumia as a part of his recent article on Three AI and Tech trends that will transform the fashion industry. We are reproducing his original article below which highlights three key trends. You can check the original article here.

He is a best-selling author of 20 books, writes a regular column for Forbes, and advises and coaches many of the world’s best-known organizations. He has over 2 million social media followers, 1 million newsletter subscribers and was ranked by LinkedIn as one of the top 5 business influencers in the world and the No 1 influencer in the UK.

Bernard’s latest book is ‘Business Trends in Practice: The 25+ Trends That Are Redefining Organisations’

Quote

Fashion is one of the biggest industries globally, and revenues in the global apparel market are expected to reach $2.25 trillion by 2025 – but it’s not the first industry that probably pops into your mind when you think about artificial intelligence.

However, designers and brands that embrace the latest technology to push the limits of design, manufacturing, and production will come out on top in the fast-changing world of fashion.

Here are a few of the biggest tech trends that are transforming the fashion industry.

Fashion brands are reshaping their approach to product design and development by predicting what customers will want to wear next.

Trend forecasting is typically labor-intensive, involving manual or digital observation and data collection from fashion designers and influencers. By harnessing data directly from users, brands like Finery and StitchFix can have fast, easy access to information that helps them plan the styles people will love and know what quantities to manufacture.

Stylumia deploys its AI and machine learning platform to help fashion and lifestyle brands forecast demand, spot trends, manage inventory, and make better business decisions.

Shoppers can benefit directly from artificial intelligence during their online browsing experiences, too. TrueFit uses behind-the-scenes data to help their customers find the perfect bra fit, and B2B solution Virtusize helps brands build in virtual sizing tools to increase customer satisfaction and reduce returns.

Digital Models Wear the Latest Fashion Lines

Virtual models not only help designers show their latest creations worldwide (even in times when large fashion shows are prohibited due to COVID restrictions), they also help reduce waste by showcasing clothes that haven’t actually been manufactured.

Shudu Gram is a CGI model created by visual artist and fashion photographer Cameron-James Wilson. Since her creation, Shudu has generated a following of over 200,000 people on Instagram. Many of her followers assumed she was real after Wilson launched her online presence, and followers were surprised to discover that Shudu is entirely digital. Now Wilson is the CEO of The Diigitals, the world’s first all-digital modeling agency.

“Don’t Shop Less, Shop Digital Fashion.”

Fashion is known as one of the world’s most polluting industries, and several companies are using technology to try to make fashion more eco-friendly and sustainable.

The Fabrikant creates interactive experiences for brands by creating photo-real, 3-D fashion design, and animation. The clothes are never created in the physical world, making this a potentially more sustainable way for companies of all kinds to make a statement without creating a big footprint.

Meanwhile, with Dress-X, you can buy digital clothes for your individual online persona on social media. You simply upload a photo of yourself, pay for your “garment,” and you’ll get back an image of yourself wearing the new item. You’ll never see the item in person or hang it in your closet – but you can give your online persona a makeover while reducing textile waste in the fashion industry.

Fashion of the Future

Technology advances are transforming most aspects of the fashion industry, from the initial sketches, to fashion shows, to the individual online shopping experience.

Automation and predictive modeling are creating better customer service experiences for consumers, while the fashion industry takes innovative steps to eliminate waste through digital fashion.

With the help of Ai, you’ll soon be able to buy a new outfit for your Zoom persona, so you can stop showing up in your pajamas and start sporting the latest in Paris fashions on those remote conference calls!

Unquote

We would like to reiterate that all of these help us as water stations in our long marathon journey ahead. We have a global challenge on hand and together we can win both consumers and the climate change challenge.

Subscribe to our insights

Subscribe now to receive our thought leading insights right into your inbox

Related Blogs

Early Demand Signal Detection Beats Quarterly Reviews Every Time

| 12 min readThe market does not reward you for confirming a trend. It rewards you for catching it while it is still forming. Early demand signal detection is what separates retailers who capture margin from those who chase markdowns. By the time a demand pattern shows up in your review cycle, your competitors have already placed their […]

on June 21, 2026

Why AI Agent Adoption Discipline Beats Faster Tooling in Retail

| 11 min readMost retail executives are making the same expensive mistake with AI agents. They license the platform, assign a team, set a deadline for results, and expect transformation within weeks. What they get instead is a pilot that shows promise but never scales, a dashboard that gets checked occasionally but not trusted, and a team that […]

on June 16, 2026

Demand in Motion Forecasting Beats Historical Sales Data Every Time

| 11 min readYour planning team spent three weeks building the seasonal forecast. They ran regression models on two years of sales history. They analyzed margin by category, SKU velocity, sell-through rates. They built a bottom-up plan that reconciles with last year’s actuals within 2 percent. The deck is 47 slides long and every number ties out. Then […]

on June 4, 2026