Dynamic Virtual Shopping Area Personalization
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Solution Overview
Problem
Legacy online shopping malls require users to navigate through all items to find their interests, leading to inefficient browsing and intrusive cross-selling, as they do not account for individual user preferences or shopping history.
Innovation Solution
A dynamic virtual shopping area that captures user preferences and history to customize the shopping environment, presenting items of interest near the entrance and organizing stores and merchandise based on user preferences, thereby enhancing the shopping experience without aggressive advertising.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a legacy online shopping mall displays all items in a fixed structure, then the shopping area is easy to navigate for all users, but users must browse through unrelated items to find their interests, wasting time
Solution Approach 1:
The system performs preliminary actions by capturing user preferences and shopping history before the user enters the virtual shopping area. This pre-processing of user data allows the system to pre-organize items and stores according to individual user interests, so that when users enter the shopping area, they immediately see relevant items without needing to browse through unrelated content
Solution Approach 2:
The patent transforms the static, fixed shopping area structure into a dynamic one that automatically reconfigures based on user preferences and shopping history. The shopping area adapts its layout, item placement, and store organization in real-time according to each user's profile, enabling the system to balance navigation ease with personalized relevance
2Productivity
If the shopping area is customized for each user based on preferences, then browsing efficiency is improved, but the system complexity increases
Solution Approach 1:
The system implements self-service by automatically capturing user preferences and shopping history, then using this data to autonomously customize the shopping area for each user. The system performs the customization work itself without requiring manual intervention or complex configuration, reducing the operational complexity despite the personalized output
Solution Approach 2:
The system uses feedback from user preferences and shopping history to continuously refine and personalize the shopping area. By leveraging this feedback mechanism, the system achieves high shopping efficiency through automated adaptation rather than manual system configuration
3Loss of time
If the system presents only relevant items to users, then time wastage is reduced, but cross-selling opportunities are lost
Solution Approach 1:
The system applies local quality by strategically placing unrelated but potentially interesting items in specific locations within the personalized shopping area. While the overall structure is customized to user preferences, certain zones are designed to expose users to complementary products they might not have actively sought but could be interested in, thus enabling unobtrusive cross-selling
Data Source
AI summary
The present invention is directed to a dynamic virtual shopping area based on user preferences and history. A method for providing a dynamic virtual shopping area in accordance with an embodiment of the present invention includes: capturing user preferences; and dynamically customizing a virtual shopping area for an avatar based on the user preferences, such that the avatar is presented with items the avatar is more likely to purchase upon entering the virtual shopping area.