www.tryndbuy.com
Automate AI Commerce
An AI-powered platform for brands and e-commerce to seamlessly generate digital assets, enable virtual interactions, and deliver product and AI solutions in an automated manner.
www.tryndbuy.com
What is TryndBuy today?
We are a foundational Al for creating realistic human, products & interactions virtually in an automated manner for e-Commerce, Social Media & Gaming.
Top Al Company from India & Korea
Innovator of year by Amazon in 2021
70+
Global Patents
$200Bn+
Market Opportunity
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Existing solutions in the market
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Mix & Match
Missing Virtual Try on
Most of the retailer brands suggest what to try with the apparel but there is no virtual try on available on the website.
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Mix & Match
Missing Virtual Try on
Most of the retailer brands suggest what to try with the apparel but there is no virtual try on available on the website.
www.tryndbuy.com
Comparision of Tryndbuy’s Try-On Apparel Solution with Google Doppl
Parameters
Output Image
Output capabilities
TAT
Upload user's selfie to create digital twin
Prepares body avatar with user's body measurement in real-time
Flat images of products with mannequins required for creating catalogue
Allows users to try mixing and matching of different products - With 80 different apparel categories in their portfolio
Fit and size recommendation basis body measurement to try-on digital twin
• ~4 seconds
Support western dresses (top & bottom dresses), limited support for Indian ethnic wear like sarees and long suits, misidentifying them or not rendering them - Lacks intelligent cloth recognition, often mistakes long garments for short ones
Generate inaccurate clothing shapes and textures, with missing patterns, blur and color mismatches
Generate moderate resolution output, lacking in visual richness
No download option for try-on outputs
• ~18 seconds
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Incorrect Output by Google Doppl
INPUT 1:
User Uploaded Image
First Step is to generate a 3D Avatar
INPUT 2:
User Uploaded Image
First Step is to generate a 3D Avatar
Different Garment
Length and Cut
Unable to recreate the
garment image shared by the brand. This is because Doppl is built on GAN.
It doesn’t create a generative output. It finds the closest output in its result to generate an output, which can’t be used by brand.
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Incorrect Output by Google Doppl
INPUT 1:
User Uploaded Image
First Step is to generate a 3D Avatar
INPUT 2:
User Uploaded Image
First Step is to generate a 3D Avatar
Result: Unusable Output
Many ethnic designs are outside the sample set of outputs of GAN based models.
The output needs to simulated, rather than
generated from existing data set.
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Incorrect Output by Google Doppl
INPUT 1:
User Uploaded Image
First Step is to generate a 3D Avatar
INPUT 2:
User Uploaded Image
First Step is to generate a 3D Avatar
Different Garment
Length and Cut
For high AOV items, low try-on accuracy leads to significant customer drop-off. If the output doesn’t match brand quality, shoppers lose confidence quickly.”
“Since results are user-generated, manual QC isn’t feasible. That’s why extreme accuracy is the north star for driving trust and conversions.
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Incorrect Output by Google Doppl
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Comparison with Glance AI
Low resolution output
Glance AI output often misses key details—logos, textures, skin tone, facial features, clothing design, hands, and hairstyles. Even with full user inputs, it struggles to capture real body shapes, reducing realism and user trust.
The model is asking complete input person details in beginning (size,color,hair ..), means the model is not capable to understand the human features, so user doesn’t feel the actual body shape (only thin and fat is there , no proper way to give the body size)
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Comparison with Glance AI
Delayed low resolution output
Glance AI takes up to 90 seconds to generate a try-on result.
Our Solutions
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Mix & Match
Mix. Match. Perfect.
Tryndbuy allows online shoppers to mix and match different clothes and accessories on their bodies. They can try the same trousers with different tops and shoes until they find the perfect match for them.
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Mix & Match
Mix & Match with Virtual Designer
TryndBuy empowers shoppers to visualize their style through an AI-driven Virtual Designer. Effortlessly mix and match outfits on your digital avatar to create the look that feels just right.
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Mix & Match
Fashion Recommendation Engine
Browser History Analysis
Analyzes browsing behavior to identify style preferences and patterns.
Uses product attributes and session data for personalized recommendations.
Purchase History Analysis
Insights from purchase data reveal buying habits and product preferences.
Transaction and return patterns help segment users for tailored recommendations.
Screen Time Analytics
Tracks user engagement with product pages and media interactions.
Uses heatmaps and view metrics to boost recommendation accuracy.
Product Feature Analysis
Extracts colors, patterns, textures, styles, and fits using computer vision.
Classifies products by category, brand, price, size, material, and tags for occasion, season, trend, and care instructions.
Collaborative Filtering System
Uses collaborative filtering, demographics, and regional insights to predict preferences.
Recommends complementary items, outfit bundles, and personalized cross-sells.
Contextual & Seasonal Intelligence
Suggests apparel based on weather, festivals, and seasonal colors.
Incorporates regional, demographic, and cultural trends to personalize recommendations.
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Virtual Trial Room
Your Virtual Stylist
Tryndbuy lets you try on clothes virtually, explore makeup, and change backgrounds—while showing how each outfit fits and looks on your unique body shape and size.
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Face Upload
Try Your Look
With our face upload feature, you can see how outfits truly look on you. Mix and match styles, use your body measurements for accurate fit, and even preview apparel through videos—bringing a realistic, personalized shopping experience.
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Size & Fit Recommendations
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Size & Fit Recommendations
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Large Model - Jeans Tryon
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Different Belly Type - Tryon
Apparel Catalog Images & Videos
Female Dresses Catalogue
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Darugee Chiffon Floral Dress
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Onfollow Button-up Cropped Knit
Female Tops Catalogue
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Goldenegg Linen Cargo Half-pants
Men's Clothing Catalogue
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Orange Linen Wide Pants
Female Pants Catalogue
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Ggolmang 209 Deep Red
Accessories Catalogue
Makeup Try on
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Ashyra Waterproof Crystal Clear Flower Lipstick
Lipstick Try on
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Glam21 Cosmetics Little One Eyeshadow Palette
Eyeshade Try on
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MYEONG WATERPROOF BLUSHER TUBE MATTE FINISH PINK ROYAL
Blush Try on
Apparel Video, Virtual Assistant
& Shoe Try on
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Virtual Assistant
Virtual Product Expert
This next-gen AI assistant delivers real-time, video-based product explanations directly on screen. Acting as a digital salesperson, it highlights features, comparisons, and benefits—boosting customer confidence and reducing decision fatigue.
With personalized, interactive guidance—both visual and verbal—it helps shoppers understand products better, creating a smarter and more engaging buying experience.
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Small Cabin Suitcase (55 cm) 4 Wheels - Cairo - Teal
Virtual Assistant
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Apparel Video
Apparel Video Catalogue
Tryndbuy’s Apparel Video turns static product listings into dynamic motion visuals. By showcasing fabric flow, fit, and style through AI-generated videos
It boosts engagement, builds customer confidence, and drives conversions—without costly shoots.
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Apparel Video
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Apparel Video with Virtual Assistant
AI Assistant for Apparel
Tryndbuy’s Apparel Video is enhanced by a virtual assistant that guides shoppers in real time—explaining features, fit, and styling while showcasing garments in motion.
This AI-powered interaction creates a personalized, engaging shopping experience that builds confidence and drives higher conversions.
Shoe Try on
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NORTH PLUS Men's Running Shoes
Eyewear Try on
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Thank You
Connect with us at
nitinvats@tryndbuy.com