Digital Closet Construction via Email Data Extraction
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Solution Overview
Problem
Current fashion personalized services face difficulties in obtaining and managing user-specific clothing information, making it hard for users to easily create and maintain virtual closets, as they require manual effort in photographing and inputting data for each item.
Innovation Solution
A system and method that utilizes a user terminal and server to automatically collect and register clothing information from online and offline purchases by extracting data from emails and product databases, using OCR processing and text parsing, and transmitting core information to the user terminal for easy digital closet construction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If users manually take pictures of clothes and input information to construct a virtual closet, then the digital closet can be created, but the process becomes very troublesome and time-consuming
Solution Approach 1:
The system automatically collects clothing information from users' email accounts and online shopping databases without requiring manual user input. The server extracts purchase information, clothing images, and product details autonomously, allowing the digital closet to build itself through self-service mechanisms rather than manual user operations.
Solution Approach 2:
The system introduces intermediary components including an email account as a data source, an OCR recognition module to extract text from images, and a server as a mediator that processes and structures the collected information. These intermediaries bridge the gap between raw purchase data and the organized digital closet structure.
2Measurement precision
If users manually remove backgrounds from clothing pictures and input various items of information, then accurate clothing data can be obtained, but the process becomes extremely troublesome
Solution Approach 1:
The system replaces manual mechanical operations (users manually removing backgrounds and typing information) with automated optical and computational processes. The OCR recognition module automatically extracts text from images, and the server automatically structures data, substituting human manual work with automated technological processes that maintain accuracy while eliminating complexity.
3Adaptability or versatility
If fashion service providers estimate user tastes based on indirect information such as age and search history, then personalized recommendations can be provided, but the accuracy of understanding individual fashion preferences is limited
Solution Approach 1:
The system performs preliminary action by automatically collecting and storing users' actual clothing ownership data, wearing history, and coordination preferences before personalized services are needed. This advance data collection ensures that when personalization is required, the system has accurate direct information about the user's actual fashion choices rather than having to estimate from indirect data.
Data Source
AI summary
A system for constructing a digital closet is disclosed. The system for constructing a digital closet includes: a user terminal that interlocks email account information or identifier information for digital closet registration to a digital closet service platform, receives core information related to clothing purchased in online or offline, and creates a digital close on the basis of information selected by a user from the received clothing-related core information; and a server that collects the clothing-related core information from a database related to the purchased clothing on the basis of the email account information or the identifier information, and transmits the clothing-related core information to the user terminal. Accordingly, clothing purchased through offline or online is simply registered in a digital closet, thereby being able to maximize convenience for a user.