One size does not represent the whole user.
Users may have different sizes across shoes, pants, shirts, jackets, and other categories. Sizes may also vary across brands, models, and fits.
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Maz Style
My Size
A personal size and fit profile that helps recommendations move beyond style and become truly usable for each user.
My Size allows users to save their sizes across different fashion categories such as shoes, pants, shirts, jackets, T-shirts, and more. Mazzaneh can then recommend products that match both the user’s taste and their likely fit, helping reduce uncertainty and improve purchase confidence.
The Problem
Sizing uncertainty is one of the biggest barriers in online fashion shopping.
Even when a user likes a product’s style, color, price, and design, they may still hesitate because they are not sure whether the product will fit. In online shopping, users cannot try items on, which makes size decisions more difficult.
Great recommendations can still fail without fit.
A product may match the user’s taste, but if it is not available in the right size or does not match the user’s fit preference, the purchase may be abandoned or unsuccessful.
The Solution
My Size turns size and fit preferences into usable recommendation data.
Users save their sizes for different fashion categories and define how they prefer items to fit. Mazzaneh can then prioritize products that are more likely to be suitable, wearable, and confidence-building for the user.
User Size
Category-level size data across shoes, pants, tops, jackets, and other apparel types.
Fit Preference
The system understands whether the user prefers slim, regular, relaxed, comfortable, or formal fit.
Fit-Aware Recommendations
Products are prioritized when they better match size, fit preference, and seller inventory.
How It Works
From saved sizes to fit-aware product discovery.
My Size creates a practical bridge between what users like and what they can actually use.
01
Save Core Sizes
Users add their sizes across key categories such as shoes, pants, shirts, T-shirts, jackets, coats, or other apparel types.
02
Define Fit Preferences
Users can specify whether they prefer slim, regular, relaxed, comfortable, formal, casual, shorter, longer, or other fit directions.
03
Connect Size to Product Categories
The system maps saved size data to product categories and inventory signals inside Mazzaneh.
04
Prioritize Suitable Products
Products that better match the user’s size, fit preference, and available seller inventory can receive higher priority.
05
Learn from Feedback
In advanced versions, the system can learn from purchases, returns, ratings, and fit feedback to improve the user’s size profile over time.
Key Capabilities
A fit intelligence layer for more reliable fashion recommendations.
My Size improves the recommendation experience by adding size awareness, fit preferences, and inventory relevance to fashion discovery.
Personal Size Profile
Users can save their size information in one profile that supports personalized fashion recommendations.
Category-Specific Sizing
My Size does not rely on a single number. Shoes, pants, shirts, jackets, and other categories can each have separate size data.
Fit Preferences
Users can define how they prefer products to fit, such as slim, regular, relaxed, comfortable, or formal.
Size-Aware Recommendations
Products that match the user’s size profile can be prioritized in recommendations and personalized discovery.
Size Mismatch Alerts
If a product appears less compatible with the user’s profile, the system can warn the user or suggest better alternatives.
Reduced Purchase Hesitation
When users know that a product is closer to their size and fit preferences, they can decide with more confidence.
Learning from Feedback
In advanced versions, Mazzaneh can learn from purchases, returns, and user feedback about fit accuracy.
Seller Inventory Matching
If a seller has products in the user’s size, those products can be recommended with higher relevance.
Value
My Size improves confidence, relevance, and purchase success.
By bringing size and fit into personalization, Mazzaneh can make recommendations more practical and reduce the gap between interest and successful purchase.
For Users
Users shop with more confidence, spend less time guessing sizes, reduce purchase hesitation, and see products that are more likely to fit.
For Mazzaneh
Mazzaneh gains a valuable size and fit data layer that strengthens personalization beyond taste, wardrobe, and behavior.
For Sellers
Sellers can reach users who are not only interested in their products, but are also more likely to match the available size or fit.
Example Scenario
My Size helps users understand whether a product is likely to work before they buy.
A simple scenario shows how size data can improve product ranking, purchase confidence, and alternative recommendations.
User size profile
The user saves core sizes and fit preferences in My Size:
Shoes: 42
Pants: 32
T-shirt: Medium
Fit: Regular and comfortable
Mazzaneh output
When the user browses shoes, pants, or T-shirts, Mazzaneh can prioritize products available in suitable sizes. If a product the user likes is not available in size 42, the system can alert the user or recommend a similar product from another seller that has the right size.
Data Inputs
My Size connects sizing data with taste, wardrobe, and seller inventory.
The feature can use both explicitly entered size data and behavioral feedback to make recommendations more accurate over time.
Shoe size
Pants size
Shirt size
T-shirt size
Jacket size
Coat size
Category-specific sizes
Fit preferences
Brand and model signals
Past purchases
Returns
Fit feedback
My Closet data
Style Finder data
Seller inventory
Integration
My Size is the confidence and usability layer inside Maz Style.
It works with My Closet, Style Finder, and seller inventory to make recommendations both desirable and realistically usable.
My Size + My Closet
My Closet shows what users own. My Size ensures that complementary product recommendations are also appropriate from a fit perspective.
My Size
Fit confidence layer
My Size + Style Finder
Style Finder identifies what users like. My Size helps ensure that products matching that taste are also likely to fit.
Seller Inventory
Seller products can be prioritized based on whether they are actually available in sizes that match the user’s profile.
Why It Matters
My Size bridges the gap between liking a product and being able to use it.
If Style Finder helps Mazzaneh understand what the user likes, and My Closet shows what the user owns, My Size helps determine which products are likely to be suitable in real life. It creates more confident shopping for users, more relevant exposure for sellers, and more accurate recommendations for Mazzaneh.
My Size turns online fashion shopping from “guessing the size” into “choosing the right product with more confidence.”