7 Hot AI Startup Solutions with Visual Technology for Fashion Retailers

Can you imagine a fashion world where: 

• Your stylist is available 24/7 -  for FREE.

• A fitting room of top brands is right in your bedroom.

• Fashion trends predict themselves before they go viral.

These scenarios are no longer just a dream. They are happening now. It’s thanks to the power of AI and visual technology. 

This article explores seven hot AI startup solutions revolutionizing fashion eCommerce. 

They are transforming how trends are predicted, brands design, advertise and sell, and consumers search and shop online - all powered by cutting-edge visual techs. 

7 Hot AI Startup Solutions with Visual Technology for Fashion Retailers

#1 Multi-Modal Fashion AI Search

Forget the frustrating text-based search process and endless scrolling. Now, you can type exactly what’s on your mind into a search bar. And the text-to-image search technology will find the perfect match instantly. 

Unlike traditional search engines, this one doesn’t just rely on product descriptions. Instead, it can retrieve information from both words and images. Therefore, it can match fashion item images with shopper input using advanced computer vision.

One standout example of this visual technology is the YesPlz AI fashion search. This startup solution is built exclusively for online fashion businesses. It can be easily integrated into eCommerce websites to enhance their search function. 

• For shoppers: No more struggling with different search terms. Just type what appears in their mind. AI fashion search does the rest. 

• For fashion brands: Smarter product discovery leads to better engagement and higher conversions.

What powers this next-generation search engine? It goes beyond advanced computer vision. AI fashion search leverages fashion-trained large language models. So, it can interpret long and complicated search queries with high accuracy.

#2 Virtual Fitting Room

Try before you buy - without stepping into a physical store. That’s the core idea behind a virtual fitting room. Using a 3D model or portrait, this visual technology overlays clothing on it.

Want a real example of a digital dressing room? Meet Aiuta Virtual Try-on, an AI startup solution for online fashion stores. 

Integrated into eCommerce platforms, it lets shoppers upload their photos. Then, see how fashion items fit their bodies just like they would in a physical store. This minimizes sizing mistakes and boosts confidence in purchasing decisions. It therefore leads to higher shopper satisfaction. 

Meanwhile, a virtual fitting room drives higher sales and better conversions for apparel and fashion businesses. Especially, it decreases the return rate, thus, solving one of the biggest problems in online fashion retail. 

Artificial intelligence (AI) and augmented reality (AR) power this visual technology.

AI: 

• Analyze body shape, size, and clothing attributes.

• Ensure that digital outfits adapt naturally to different body types.

AR:

• Overlay digital outfits onto shopper photos.

• Consider lighting, angles, and proportions for a lifelike preview of how outfits look and fit.

#3 AI Model Image Generator

Say goodbye to cameras, studios, and human models. Say goodbye to expensive and time-consuming traditional photoshoots. Yet, brands can still create high-quality fashion images with an AI model image generator. 

Take Fliption, for instance. It can turn one model image into ten different variations. Plus, it effortlessly swaps model faces to reflect diverse customer segments. 

Shoppers can see how clothes look on models of different ethnicities, body types, skin tones, and poses. This isn’t just about aesthetics, it’s about inclusivity. When shoppers see a model that looks like them, they feel more confident about their purchase.

For fashion brands, this visual technology eliminates the need for multiple photoshoots, models, and locations. Brands can generate diverse, location-specific models with zero extra resources. The result? Faster pre- and post-production at a fraction of the cost.

This AI startup solution leverages the following techs to generate lifelike model photoshoots.

• Generative AI: Learn patterns from real fashion images.

• Deep Learning: Understand clothing textures, fabric drapes, and human body proportions.

• Generative Adversarial Networks (GANs): Ensure ultra-realistic details like shadows, folds, and lighting.

#4 AI-Powered Personal Stylist

Ask any styling questions. Get outfit inspiration for any occasion. Express your personality through fashion. Receive instant answers in a chat. That’s exactly what an AI-powered personal stylist does. And the best part? It is always available 24/7 for free.

Still can't figure out how this virtual assistant works? Meet YesPlz AI’s model, powered by ChatGPT for fashion. Try the live demo of this world's first AI stylist yourself. 

It functions as a chatbot or direct integration into fashion eCommerce platforms. For shoppers, it simplifies searches and delivers personalized shopping experiences. For online fashion retailers, it boosts engagement and increases conversion rates.

What powers this AI startup solution? Two cutting-edge technologies:

• Natural Language Processing (NLP) empowers real conversations. Shoppers can chat with the AI stylist just like they would with a human stylist. Feel free to use casual language, fashion terms, or trend-related buzzwords - even with grammar or spelling mistakes.

• Advanced Computer Vision empowers fashion intelligence. This visual technology can scan product images and detect what’s included such as:

• What are the fashion items in the image? 

• What are their silhouettes, patterns, and colors? 

• What is the weather and the surrounding background like?

• What is the overall vibe or occasion?

This fashion input helps match shoppers’ queries with the right fashion items in a product catalog. 

#5 AI Fabric Simulation

Test how a fabric behaves on a virtual fashion item. Simulate how it moves, wrinkles, or stretches. Get a more accurate idea of how it will look and fit. All these things can be done without touching a single piece of cloth. That’s the power of AI fabric simulation - a groundbreaking AI startup solution.

Consider Z-emotion, for example. Its cutting-edge 3D garment design software, z-wave, is tailored to the fashion industry. It runs on the proprietary Zelus simulation engine. Z-wave can deliver faster and more realistic fabric simulations than traditional 3D design tools.

This visual technology has three main benefits:

• Speed up the design process.

• Reduce waste from physical prototyping.

• Allow designers to visualize the end product without creating samples.

This is thanks to a combination of advanced technologies including:

Physics Simulations: 

• Mimic real-world fabric behavior (considering gravity, friction, and elasticity.)

• Ensure that clothing flows and drapes naturally in different scenarios.

AI: 

• Analyze fabric properties based on vast amounts of textile data. 

• Predict how materials will react under movement, tension, or layering.

3D Rendering: 

• Generate high-resolution visualizations with precise lighting, shadows, and textures.

• Make virtual clothing look as realistic as possible.

#6 AI-Powered Size Solutions

Have you ever ordered a size that should fit but doesn’t? That’s a common frustration in online fashion shopping. Different brands have different size charts and model measurements. What fits perfectly in one store might be too tight or too loose in another. That’s where AI-powered size solutions come in.

Let’s take True Fit as an example to understand how this visual technology works. It leverages AI to analyze consumer data and product information. Then, True Fit predicts how specific clothing and footwear sizes will fit different body shapes. Based on that, it recommends the best fit for every individual.

For shoppers, no more confusing size charts and more confidence in online purchases. For fashion eCommerce, fewer returns due to size mismatches and higher conversion rates.

What powers this AI startup solution? A combination of three advanced technologies:

• 3D Body Scanning: Capture precise body measurements using smartphone cameras or external scanners.

• Deep Learning: Continuously learn from past purchases, returns, and shopper feedback to refine recommendations.

• Data Analytics: Cross-reference shopper measurements with brand-specific size charts and fabric stretchability to ensure maximum accuracy.

#7 AI-Based Trend Forecasting

Fashion trends are no longer a guessing game thanks to AI-based trend forecasting. This kind of technology can analyze vast amounts of data and consumer behavior. It then identifies emerging patterns. And, predict what styles, colors, and materials will dominate the market.

Take Heuritech, for example. Leveraging AI-based visual technology, Heuritech scans millions of images and videos from social media, runway shows, and retail platforms. It then applies machine learning and data analytics to detect rising trends before they go mainstream.

As a result, brands can make informed design decisions. Retailers can stock up on the right inventory. Shoppers can follow trends effortlessly. No more guessing, just data-driven insights.

How does this AI-powered solution work? Three key technologies make it possible:

• Computer Vision: Scan and interpret fashion visuals to detect style shifts in real time.

• Machine Learning: Learn from past trends to predict future ones.

• Data Analytics: Process vast datasets to uncover consumer preferences.

Conclusion

Visual technology, combined with AI, is revolutionizing fashion eCommerce. From AI-powered stylists to AI-based trend forecasting, these innovations improve design processes and enhance shopping experiences. Fashion retailers who embrace these innovations will stay ahead in an increasingly digital world.