Visual Silhouette Item Selection Interface for E-Commerce
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Solution Overview
Problem
E-commerce platforms face challenges in presenting products effectively, leading to selection errors and reduced transaction likelihood due to excessive item listings and textual-based selection methods, which can result in users choosing incorrect items.
Innovation Solution
Implementing a user interface that displays item listings in visual silhouette form, allowing users to select items by recognizing images, thereby reducing errors and enhancing the selection process through image similarity matching and shopping profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If item listings are presented in textual form, then the system can handle a large number of items, but users may make selection errors and choose incorrect items
Solution Approach 1:
The patent uses silhouette images (visual copies) of items instead of textual representations. These silhouettes capture the essential shape and form of each item, allowing users to visually identify and select the correct item without reading text descriptions, thereby eliminating selection errors while maintaining ease of operation.
Solution Approach 2:
The patent replaces the textual-based selection mechanism with a visual-based mechanism. Instead of users reading and interpreting text descriptions to identify items, the system presents visual silhouettes that directly represent the items, substituting a more intuitive visual recognition process for the error-prone textual selection process.
2Loss of information
If all satisfying item listings are presented to the user, then complete information is provided, but the interface becomes overwhelming and transaction likelihood decreases
Solution Approach 1:
The patent extracts only the essential visual characteristic of each item (its silhouette) and presents it separately from other non-essential information. This extraction approach allows the interface to display only the most relevant visual information needed for item identification, reducing interface complexity while maintaining the ability to represent all satisfying items.
Solution Approach 2:
The patent segments the item presentation into distinct visual silhouette representations, allowing each item to be clearly differentiated from others. This segmentation enables users to quickly scan and identify items of interest without being overwhelmed by a dense, unstructured presentation of all item information simultaneously.
3Reliability
If visual silhouettes are used for item selection, then selection errors are reduced, but the system requires image processing capabilities
Solution Approach 1:
The patent uses simple silhouette images rather than complex, high-resolution photographs. These simplified visual representations require minimal processing power to generate and display, yet they effectively capture the essential shape characteristics needed for accurate item identification. The silhouettes are computationally inexpensive to create and render compared to full-color, high-detail images.
Data Source
AI summary
Selecting a first silhouette image of an item at a client machine displays a plurality of silhouette images representing aspects of the item such as style, length type and sleeve type. Selecting any of those aspects allows a server to search a database for listings of similar items that have those aspects. Concurrently selecting one or more of the images representing those aspects and one or more sizes, allows a server to search a database for listings of similar items that have those aspects and those sizes.