Wearable Size Recommendation Using 3D Model Comparison
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Solution Overview
Problem
Finding the correct size of footwear or apparel online is challenging due to the lack of try-on capability and inconsistent sizing among manufacturers, leading to high return rates and limited selection, as users often stick to familiar sizes rather than exploring different options.
Innovation Solution
A system that uses a processor to recommend wearable item sizes by accessing a database of three-dimensional models, comparing candidate objects' measurements to a reference item's model, and selecting objects within a fit distance threshold for presentation to the user, incorporating user attributes and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users purchase wearable items online without trying them on, then purchasing convenience is improved, but fit accuracy deteriorates leading to high return rates
Solution Approach 1:
The system creates a digital 3D copy of the user's body measurements and compares it against digital 3D models of wearable items. This virtual copying and matching process enables online purchasing without physical try-ons, maintaining convenience while improving fit accuracy through precise digital measurement comparison.
Solution Approach 2:
The system transforms physical measurement parameters into digital data parameters, storing and processing them through algorithms. By changing the state of measurements from physical to digital and applying computational logic, the system determines optimal fit without physical interaction, resolving the contradiction between online convenience and fit accuracy.
2Ease of operation
If users stick to familiar sizes when shopping online, then purchase decision simplicity is improved, but selection potential deteriorates
Solution Approach 1:
The system provides feedback to users about their body measurements and how different wearable sizes fit their specific dimensions. This feedback mechanism guides users beyond their familiar sizes by showing which alternative sizes will actually fit well, thereby expanding selection potential while maintaining decision simplicity through data-driven recommendations.
Solution Approach 2:
The system performs preliminary analysis of the user's measurements and pre-calculates which wearable sizes will fit best before the user makes a selection. This preliminary action provides users with curated size recommendations, simplifying the decision process while exposing them to suitable options they might not have considered based on familiar sizing alone.
3Adaptability or versatility
If manufacturers use different sizing standards, then manufacturing flexibility is improved, but sizing consistency deteriorates
Solution Approach 1:
The system creates a universal measurement reference framework that works across different manufacturer sizing standards. By establishing a common digital measurement basis and comparing all wearable items against this universal standard, the system enables consistent fit recommendations despite manufacturers using different sizing conventions, thereby achieving sizing consistency while preserving manufacturing flexibility.
4Productivity
If manufacturers constantly change and discontinue models, then product innovation is improved, but user fit assessment difficulty increases
Solution Approach 1:
The system performs preliminary measurement capture of the user's body dimensions once, storing this baseline data. When manufacturers introduce new models or discontinue old ones, the user's pre-captured measurements automatically apply to assess fit for any new item, eliminating the need for repeated manual assessment and reducing complexity despite continuous product changes.
Solution Approach 2:
The system creates a persistent digital copy of the user's body measurements that can be repeatedly used to assess fit across different wearable models. This digital measurement copy remains valid regardless of which specific model the user considers, simplifying fit assessment when manufacturers frequently update their product lines.
Data Source
AI summary
A system for recommending a size of a wearable item implements a method that includes identifying a reference wearable item and a size for the reference wearable item. The system accesses a wearable item database and retrieves a three-dimensional model of the reference wearable item. The system also receives, via a user interface, a functional requirement. The system accesses the wearable item database and identifies set of candidate objects, each of which satisfies the functional requirement. Based on the size of the reference wearable item, the system will determine a size for each of the candidate objects. The system will select at least one of the plurality of candidate objects as a recommended object and presents each recommended object and the size of each recommended object to a user.