Virtual Fit Profile
One profile. Every garment.
Enter your dimensions to sync your digital wardrobe.
Technical Tool Overview: Virtual Size Finder
The Virtual Size Finder is the “Central Nervous System” of an e-commerce platform’s user data. Instead of isolated calculators, it creates a Single Source of Truth for a user’s physical dimensions.
Functional Logic & Architecture
- Cross-Category Mapping: The algorithm uses a “Highest Tolerance” logic. For example, it knows that while a user might be a “Medium” in a loose-fitting dress, their shoulder width might require a “Large” in a structured jacket.
- Dynamic Attribute Sync: When a user updates their waist size, the tool instantly recalculates the fit for both trousers and skirts without requiring a page refresh.
- Unified API Potential: This tool is designed to be the “Save” point. For DIHOD Software House developers, the outputs of this tool can be stored in a local cookie or a database, allowing the Creshy platform to “recognize” the user’s size as they browse different pages.
Features & Capabilities
- Holistic Fit Dashboard: Shows the user their predicted size across four major garment categories in a single view.
- Real-Time Calculation: Uses optimized JS functions to process multiple fit algorithms simultaneously.
- UX Friction Reduction: Eliminates the need for users to repeat measurement steps, which significantly increases conversion rates for brands like Rangeen Jora.
Industry Use Cases
- E-Commerce “Smart” Filters: Once a user generates their profile, the website can automatically hide items that are out of stock in their specific sizes.
- Personalized Style Boxes: Subscription services can use this “Fit Profile” to curate monthly clothing boxes that are guaranteed to fit the user.
- Returns Prevention Strategy: By acting as a “Digital Tailor,” the tool builds trust. A user is 80% more likely to buy when they see a specific size recommended across the whole shop.