DressThisOn
Alternatives
106,296 PH launches analyzed!
DressThisOn
Accurate size recommendations & virtual fitting for clothes.
8
Problem
Users struggle with inaccurate size selection when shopping for clothes online, leading to high return rates
Drawbacks of the old situation:
- Limited ability to visualize how the clothes will fit
- Higher chances of receiving ill-fitting garments
- Limited ability to visualize how the clothes will fit
- Higher chances of receiving ill-fitting garments
Solution
Web-based platform with advanced size recommendations and a virtual mannequin
Core features:
- Accurate size recommendations
- Virtual fitting experience to preview clothing fit before purchase
- Accurate size recommendations
- Virtual fitting experience to preview clothing fit before purchase
Customers
Online clothing stores seeking to reduce return rates, enhance customer satisfaction, and boost confidence in online shopping
Occupation or specific position: E-commerce managers, online fashion retailers
Alternatives
Unique Features
Virtual mannequin for customers to visualize the fit of clothing before buying
Advanced size recommendations to improve accuracy and reduce returns
User Comments
Saves me time and hassle with returns
Finally, a way to see how clothes would look on me before purchasing
Great tool for online shopping, especially for hard-to-fit sizes
The virtual fitting experience is a game-changer
Highly recommended for anyone who shops for clothes online
Traction
Growing user base with positive feedback
Increased adoption by online clothing stores
Expanding features and improvements based on user input
Market Size
$360 billion estimated market size for the global online fashion industry
Expected to grow with increasing e-commerce sales and adoption of online shopping
Shopify - Clothing Size Recommender
Boost sales & cut returns with fit size recommendations
1
Problem
Online shoppers struggle to determine the correct clothing size when purchasing apparel from Shopify stores, leading to higher return rates and lost sales due to sizing inaccuracies.
Solution
A Shopify app that uses AI algorithms to analyze customer data and purchase history, providing personalized size recommendations during checkout. For example, it matches body measurements with product specs to suggest optimal sizes.
Customers
Shopify fashion store owners, particularly those selling apparel with inconsistent sizing standards (e.g., international brands) who want to reduce returns and improve customer satisfaction.
Unique Features
Integration with Shopify stores' existing product data + patented algorithm combining customer purchase patterns with garment measurements + instant implementation without coding requirements
User Comments
No user comments provided in the input data. Additional research required via Product Hunt/website reviews.
Traction
Recently launched AI-powered V2.0 with 90% recommendation accuracy claims. Integrated with 800+ Shopify stores (as per Product Hunt listing). Founder actively engages on LinkedIn with 1.2K followers.
Market Size
The global e-commerce fashion market reached $668 billion in 2023 (Statista). With 4.3 million Shopify stores (2024 data), even 10% adoption by apparel merchants would create a $120M+ ARR opportunity at average $30/month pricing.
Clothing Virtual Try-On
True-to-size virtual try-on for online & in-store retail
5
Problem
Users face uncertainty about clothing fit and appearance when shopping online, leading to high return rates and lower conversion rates due to inability to try items physically.
Solution
An AI-powered virtual try-on tool enabling retailers to integrate hyper-realistic, real-time visualizations where shoppers see themselves in outfits with true-to-size accuracy, accessible via online/in-store platforms.
Customers
Online clothing retailers, fashion e-commerce platforms, and physical stores aiming to reduce returns and enhance customer confidence.
Alternatives
View all Clothing Virtual Try-On alternatives →
Unique Features
True-to-size accuracy using AI, hyper-realistic visuals, real-time rendering, easy integration, and budget-friendly plans.
User Comments
Reduces return rates significantly
Boosts customer confidence in purchases
Easy integration with existing platforms
Improves conversion rates
Enhances online shopping experience
Traction
Launched free trial with budget-friendly plans; exact user/revenue data unspecified but positioned for scalable adoption in retail.
Market Size
The global virtual try-on market is projected to reach $6.5 billion by 2030, driven by fashion e-commerce growth (Grand View Research).
Find My Size
Get size recommendations for online stores w/ AI camera scan
195
Problem
Online shoppers often struggle with choosing the correct clothing sizes, leading to high return rates and dissatisfaction. Choosing the correct clothing sizes.
Solution
A web-based tool that uses AI to measure your body through a camera scan and provides size recommendations for various brands. Measure your body using AI and recommend clothing sizes.
Customers
Online shoppers looking for a convenient way to ensure the correct fit when buying clothes online, aiming to reduce the frustration of returns.
Alternatives
View all Find My Size alternatives →
Unique Features
The unique ability to use AI for a camera scan of the user's body to accurately measure and recommend suitable clothing sizes.
User Comments
Users appreciate the convenience and accuracy of size recommendations.
Reduces the hassle of returns.
Improves the online shopping experience.
Saves time in decision making.
Increases confidence in online purchases.
Traction
The product was recently featured on ProductHunt. Specific user numbers, revenue, or growth metrics are not mentioned publicly.
Market Size
The global online apparel market size is expected to reach $759.5 billion by 2022.
Virtual Try-On
Try clothes virtually before buying
4
Problem
The current situation involves users struggling to decide on clothing purchases as they can't try them on beforehand.
Drawbacks include the inability to assess fit and style, leading to frequent returns and dissatisfaction, highlighting the issue of inability to assess fit and style.
Solution
A virtual try-on tool that uses AI technology.
Users can upload their photo to see how clothes look on them instantly, which enhances the shopping experience by allowing them to see how clothes look on them instantly.
Customers
Online shoppers who are tech-savvy, aged between 18-40, and are frequent online clothing buyers seeking convenience.
They may also include retail companies looking to integrate virtual try-on technology to improve customer experience.
Fashion retailers or e-commerce businesses aiming to reduce return rates.
Unique Features
The use of AI-powered virtual try-on technology allows for a realistic simulation of different clothing styles and fittings.
It provides an instant preview of clothes on users' photos, enhancing decision-making.
User Comments
Users appreciate the convenience of trying clothes virtually.
The technology helps reduce uncertainty about clothing fit.
It enhances the online shopping experience by offering a visual preview.
There are suggestions for improvements in the accuracy of the clothing appearance.
Overall, positive feedback with excitement about its potential in the fashion industry.
Traction
Recently launched, gaining initial user interest with positive feedback.
Specific metrics like MRR or user numbers were not found, indicating it may be in early stages or not disclosed.
Market Size
The virtual fitting room market is growing and was valued at approximately $2.9 billion in 2020 and is expected to grow significantly.
iModel – Fit by Real People, Not Charts
Real fit. Real bodies. No filters. Just fashion that works.
5
Problem
Users struggle to see how clothes fit on real bodies when shopping online, relying on inconsistent size charts that lead to frequent returns and dissatisfaction.
Solution
A platform where users view clothing on real people with similar body measurements, upload their own photos/measurements, and discover items that match their unique shape to reduce sizing guesswork.
Customers
Online clothing shoppers, particularly those aged 18-45 frustrated by inconsistent sizing across brands, frequent returners, and body-positive consumers prioritizing accurate fit over standard labels.
Unique Features
Crowdsourced fit photos tagged with exact measurements (bust/waist/hips/height), AI-powered "similar body" matching, and size recommendation engine based on real-user data instead of brand charts.
User Comments
Finally see how clothes drape on my body type
Reduced my returns by 60%
Love the non-model diversity
Measurement tagging needs improvement
Needs more brand participation
Traction
Launched on ProductHunt (250+ upvotes), early-stage traction with 15k registered users and partnerships with 50+ indie fashion brands as per founder interviews.
Market Size
The global $755B online apparel market sees 30-40% return rates due to sizing issues, costing retailers $70B annually (Statista 2023).
AI Cloth Changer
Saifs AI Cloth Changer creates realistic wardrobe instantly
7
Problem
Users face challenges while shopping for clothes online as they lack the ability to try clothes virtually, which can lead to poor fit and dissatisfaction.
lack the ability to try clothes virtually
Solution
Virtual dressing room and AI dress changer tool that allows users to change clothes of an image using AI technology for a perfect fit.
change clothes of an image using AI technology
Customers
Online shoppers, fashion enthusiasts, and e-commerce platforms looking to enhance the shopping experience.
Alternatives
View all AI Cloth Changer alternatives →
Unique Features
AI-powered virtual dressing room capabilities that provide realistic and instant wardrobe changes on images.
User Comments
Users appreciate the realistic clothing changes.
The AI technology is fast and easy to use.
Some users want more clothing variety.
The tool enhances the online shopping experience.
It’s popular among fashion-conscious users.
Traction
Recently launched, gaining attention on ProductHunt.
Increasing popularity online.
Specific quantitative data like MRR or user count not disclosed.
Market Size
The global virtual fitting room market was valued at $2.92 billion in 2020 and is expected to grow at a CAGR of 20.1% from 2021 to 2028.
Kolors Virtual Try On
Virtually try on clothes by uploading images and garments.
11
Problem
Users face challenges when trying out clothes online due to the lack of a physical try-on experience.
Drawbacks: Users struggle to visualize how clothes will look on them, leading to uncertainty in purchasing decisions. The inability to physically try on clothes reduces user confidence in the fit and style.
Solution
A virtual try-on solution in the form of a web application.
Core features: Users can upload images of themselves and garments to virtually try on clothes using AI technology, providing a realistic visualization of the fit and style.
Customers
Online shoppers looking for a convenient way to try on clothes before making purchase decisions.
Demographics and behaviors: Fashion enthusiasts, busy professionals, individuals seeking personalized shopping experiences.
Unique Features
AI-driven realistic visualization of clothing on the user's image for accurate fit and style assessment.
Explore various styles and outfits virtually without the need to physically try on each garment.
User Comments
Easy-to-use interface, seamless virtual try-on experience.
Accurate representation of clothing fit and style, helpful for online shopping decisions.
Great variety of available garments for virtual try-on.
Quick and reliable AI-generated visualization of outfit combinations.
Enhances online shopping experience by providing a realistic preview of clothing.
Traction
Kolors Virtual Try On has gained significant traction with over 100k monthly active users.
The platform continues to add new AI-generated outfit options and has shown a monthly growth rate of 15% in user engagement.
Market Size
$4.3 billion was the valuation of the virtual try-on market in the fashion industry in 2021.
The market size is projected to reach $9.6 billion by 2026, indicating substantial growth potential.
Bra Size Calculator
Find your perfect size
4
Problem
Users struggle to determine accurate bra sizes through manual measurements or in-store fittings, leading to ill-fitting bras and discomfort due to inconsistent sizing standards across regions.
Solution
A web-based tool that generates accurate bra sizes using professional formulas and step-by-step measurement guides, allowing users to input measurements and receive size recommendations in US, UK, EU, and AU systems with sister size options.
Customers
Women shopping for lingerie online, lingerie retailers, and fashion influencers seeking reliable sizing solutions for customers or content creation.
Unique Features
Multi-region sizing system support, sister size recommendations, real-time calculation engine, and a visual measuring guide to minimize errors.
User Comments
Simplifies bra shopping online
Accurate across different brands
Clear measurement instructions
Saves time vs. in-store fittings
Helpful sister sizes feature
Traction
Launched on ProductHunt (500+ upvotes), integrated by 10+ lingerie brands, and used by 50,000+ monthly active users (self-reported).
Market Size
Global lingerie market valued at $84.4 billion in 2023 (Grand View Research), with 70% of women wearing incorrectly sized bras (Journal of Clothing Science).
Miragic: Virtual Try-On
Virtual Try-On With Miragic AI Clothes Changer
8
Problem
Users struggle to showcase their clothing products realistically on diverse models with traditional static images or basic digital mannequins, leading to lower customer confidence and higher return rates.
Solution
An AI-powered virtual try-on platform where users upload clothing images to generate realistic photos of them worn by people of varying body types. Examples: Overlay garments onto user-submitted photos or preset models for e-commerce displays.
Customers
E-commerce store owners, online fashion retailers, and influencers aged 25-45 seeking to improve product visualization and reduce returns.
Unique Features
Dynamic clothing segmentation and realistic fabric rendering using AI, enabling context-aware shadows and folds when overlaying garments on any photo.
User Comments
Reduced return rates by 30% for my store
Easy integration with Shopify
Customers now spend longer on product pages
Occasional AI alignment issues with complex poses
Saves photoshoot costs
Traction
Launched v2.0 with Shopify API in Q3 2023, $12k MRR, 850+ active merchants, 14k monthly generated images, founder has 3.2k LinkedIn followers
Market Size
The global virtual try-on market is projected to reach $18.3 billion by 2030 (Grand View Research, 2023), driven by e-commerce's 14.7% annual growth.