Skip to content
AI Tool

Ask Mada Review

Ask Mada is an AI-powered fashion shopping and styling application that provides personalized outfit and product recommendations.

shipped Aug 24, 2026freemium
Ask Mada — product screenshot

Why it matters

1Holds a 4.1 out of 5-star rating on the Apple App Store based on 19 ratings.
2Launched with over 4 million product options and 2,600 retail partners.
3Features a patented AI technology trained by top stylists and user interactions.
4Offers a universal checkout cart for purchasing items from multiple partnered brands.

About Ask Mada

Pricing Plans

Cinq a Sept Guipure Lace Myra Denim Top
$345
Cinq a Sept Benji Guipure Lace Trim Mid Rise Wide Leg Jeans in Indigo
$365
Sherpa Trim Denim Jacket
$139
The Mylie Ballet Flat in Mesh
$128
Inez Flat Mule Black Eel
$288
Merino Wool Layered V-Neck Sweater
$139
Valley Bootcut Jeans
$129
Sherlyn Wedge Thong Yellow
$298
Shawl-Collar Double-Faced Wool Cape
$229
Curved Domed Earrings
$45
Women's Wally Calf Hair Knee High Animal Print Boots
$595
Albee Feather Trim Mini Dress
$595
The Stevie Sleeveless Roll Neck Sweater
$208
Mini Pushlock Clutch
$425
Cotton barn jacket with corduroy collar beige
$179.99
Women's Glinda Zip Up Boots
$495
Faux Fur Trim Coat
$188
rag & bone Kelly Boxy Long Sleeve Tee
$128
Animal print denim jacket brown
$79.99
Meena Dress Pink
$248
Animal-print straight jeans brown
$59.99
Kirra Lace Shawl Trim Cardigan
$425
Winslow Bag
$395
Grey Flower Wool Jumper in Grey
$490
Edith Top in White
$119
Atherton Shorts in Brown
$128
Corinthia Mini Dress in Pink
$495
Sculpted Cashmere Mock-Neck Cardigan
$299
Charlize Print Top
$275
Charlize Print Bubble Midi Skirt
$345
Avielle embellished gown
$2060
Satin high-neck dress night blue
$99.99
Cinq a Sept Gilded Peony Thalie Metallic Jacquard Dress
$795
Cassie Embellished Maxi Dress
$795
La Lune Strapless Maxi Dress
$420
Yasmin Hand Beaded Satin Mini Dress
$410
V Neck Slip Dress
$460
Laura Knit Dress Brown
$178
Nasim Knit Cape Mini Dress in Black
$229
Roya Asymmetric Mini Dress in Black
$183

overview

What is Ask Mada?

Ask Mada is a natural-language fashion search tool developed by Mada: AI Personal Stylist that enables users to find fashion items and receive personalized styling advice. It provides visual results based on text input and curates outfits from various fashion brands.

features

Key Features of Ask Mada

Ask Mada, also known as Mada: AI Personal Stylist, incorporates several features designed to streamline fashion discovery and shopping. Its core functionality revolves around AI-driven personalization and a simplified purchasing process.

  • Patented AI Technology: Learns from user interactions and top stylists to refine style preferences.
  • Swipe-Based Personalization: Users train the AI by swiping right on liked outfits and left on disliked ones.
  • Universal Checkout Cart: Allows purchasing items from multiple partnered brands through a single transaction.
  • Personalized Outfit Curation: Provides daily outfit suggestions tailored to individual style, occasion, season, and price.
  • Fashion Discovery: Helps users find new clothing items and brands.
  • Style Inspiration: Offers 'What to Wear' guides for specific occasions and trends, including outfits styled by experts.
  • Text Multimodality: Supports natural language input for fashion search queries.

use cases

Who Should Use Ask Mada?

Ask Mada is designed for individuals seeking personalized fashion advice and a simplified shopping experience. Its features cater to various user needs within the fashion domain.

  • Individuals seeking personalized outfit recommendations based on their style preferences and specific occasions.
  • Users looking to discover new fashion items and brands without extensive manual searching.
  • Shoppers who prefer a streamlined purchasing process with a universal checkout for multiple retailers.
  • Anyone interested in style inspiration and 'What to Wear' guides curated by AI and fashion experts.

how to use

How to Use Ask Mada

To begin using Mada: AI Personal Stylist, users download the application and complete an initial style quiz to establish their preferences. The primary interaction involves training the AI through a swipe-based interface.

  • 1Download the Mada: AI Personal Stylist application from the Apple App Store.
  • 2Complete the initial style quiz to inform the AI of personal fashion preferences.
  • 3Interact with outfit recommendations by swiping right on preferred items and left on disliked items.
  • 4Explore personalized outfit curations and 'What to Wear' guides.
  • 5Add desired fashion items from various brands to the universal checkout cart.
  • 6Complete purchases directly within the app or via links to retailer websites.

pricing

Ask Mada Pricing & Plans

Mada: AI Personal Stylist operates on a freemium model. The application is available for free download on the Apple App Store. While the core styling and shopping functionalities are free, the platform facilitates the purchase of fashion items from partnered retailers, with specific product prices varying.

  • Cinq à Sept Guipure Lace Myra Denim Top: $345
  • Cinq à Sept Benji Guipure Lace Trim Mid Rise Wide Leg Jeans in Indigo: $365
  • Sherpa Trim Denim Jacket: $139
  • The Mylie Ballet Flat in Mesh: $128
  • Inez Flat Mule Black Eel: $288

Pros

  • +Provides highly personalized outfit and product recommendations through patented AI technology.
  • +Offers a convenient universal checkout cart for purchasing items from multiple partnered retailers.
  • +Features a user-friendly swipe-based interface for training the AI on personal style preferences.
  • +Curates 'What to Wear' guides and style inspiration from experts.
  • +Launched with a substantial network of over 2,600 retail partners and 4 million product options.

Cons

  • Some users have reported slow loading times, though developers are addressing this.
  • The application is currently only available on the Apple App Store (iOS).
  • The AI's ability to fully capture nuanced individual style is questioned by some fashion experts.
  • Specific details on the AI models used are not publicly disclosed.

Similar Tools

Ask Mada vs Competitors

Ask Mada positions itself as an AI personal stylist and shopping platform, often compared to 'Tinder for shopping' due to its swipe-based interaction. It differentiates itself through its patented AI technology, curated content, and universal checkout. The competitive landscape includes various fashion tech applications with distinct focuses.

1
Pinterest Lens

Excels at 'vibe matching' and discovering similar styles from images, often used for mood boards and style inspiration.

Pinterest Lens primarily uses visual input (image upload) to find similar styles and inspiration, whereas Ask Mada focuses on natural language descriptions to initiate fashion searches.

2

A general-purpose visual search engine that can identify fashion items and find shopping links across the web by analyzing images.

Google Lens is a broad visual search tool, while Ask Mada is a specialized platform for natural language fashion search with visual results.

3
LykDat

A dedicated app for finding fashion items by searching with images, helping users locate outfits seen in pictures.

LykDat focuses on visual input to find similar fashion items, requiring an image to start the search, unlike Ask Mada's natural language text input.

4
Copped

Specifically designed for finding clothing from screenshots and images from social media or thrift hauls, tuned for modern shopping realities.

Copped primarily uses visual input from various sources to identify and find specific clothing, whereas Ask Mada allows users to describe fashion items using natural language.

5
ASOS Style Match

Allows users to upload an image to find similar items available within the extensive ASOS product catalog.

Style Match is a visual search feature integrated into a large e-commerce retailer's app, limiting results to their catalog, while Ask Mada offers natural language search across a broader fashion scope.

More on Stork

Related AI Tools

Other tools in this category, matched by shared tags