Location-Based Product Search Filtering
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Solution Overview
Problem
Current search paradigms in product selection are inefficient as they are not personalized to the user's context, leading to irrelevant search results, such as presenting products not suitable for the user's specific location or role within an enterprise.
Innovation Solution
A system and method that utilizes a mobile device's geographic location to retrieve and display product lists and related information, allowing for location-based filtering and ordering of products, services, and information, using technologies like beacons, GPS, and user interface elements for accurate and relevant search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If basic search paradigms (navigational or direct search) are used, then search functionality is provided, but search results are not personalized to user context leading to irrelevant products
Solution Approach 1:
The system performs preliminary actions by automatically detecting user context information (geographic location, enterprise role) before the search is executed. This pre-detection and pre-processing of context data enables personalized search results without requiring additional user input, resolving the contradiction between providing search functionality and personalizing results.
Solution Approach 2:
The patent introduces context information (geographic location, enterprise role) as an intermediary element that mediates between the user and the product database. This intermediary layer filters and personalizes search results based on user context, preventing irrelevant products from being displayed while maintaining the effectiveness of basic search paradigms.
2Productivity
If search results include all products in the database, then comprehensive product selection is provided, but irrelevant products increase search time and reduce efficiency
Solution Approach 1:
The system extracts and applies relevant context information (geographic location, enterprise role) to filter the product database. By taking out only the necessary context parameters and using them to pre-filter results, the system reduces the product set to relevant items, improving search efficiency and reducing the time users spend finding appropriate products.
Solution Approach 2:
The patent changes the search parameters by incorporating dynamic context variables (geographic location, enterprise role) into the search process. This parameter modification transforms the search from a generic product list into a personalized, context-aware result set, significantly improving productivity while reducing time loss.
3Measurement precision
If location-based filtering is implemented, then relevant product accuracy is improved, but system complexity increases due to additional location detection and filtering mechanisms
Solution Approach 1:
The system achieves universality by using a multi-functional approach where the same context detection mechanism serves multiple purposes: determining geographic location for product filtering, identifying enterprise role for permission-based filtering, and providing personalized recommendations. This multi-functionality improves measurement precision without proportionally increasing device complexity.
Data Source
AI summary
A current geographic location of a mobile device, such as a smart phone, tablet computer, or the like, is used to customize a selection guide that is used to retrieve product related information. The product related information generally provides details about one or more products meeting one or more criteria specified via use of the customized selection guide.