Geolocation-Based Object Profile Matching for Dynamic Commerce
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Solution Overview
Problem
Current geolocation-based technologies do not effectively allow users to interact with physical objects based on their location, missing opportunities for dynamic and exclusive ecommerce experiences by not enabling community-curated points of interest or inventory.
Innovation Solution
A computer-implemented method and system that creates a database of physical object profiles with transitory geographic locations, allowing community members to receive geographically targeted information about objects nearby, facilitating sales and content posting through financial transactions and social collaboration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users query search engines or browse static marketplaces online, then they can find information about physical objects, but the experience is static and not tailored to their current location
Solution Approach 1:
The patent transforms static online marketplaces into dynamic systems by continuously updating object profiles with current geolocation data. The system dynamically determines which physical objects are within proximity of each user based on their real-time location, creating an adaptive shopping experience that changes as users move through physical space.
Solution Approach 2:
The system enables users to automatically receive relevant object information based on their geolocation without manual searching. By leveraging the device's location capabilities and the system's proximity-based matching algorithm, users passively receive tailored content about nearby objects that match their interests.
2Loss of information
If the system provides comprehensive object information to all users, then information completeness is maintained, but transmission volume and processing complexity increase
Solution Approach 1:
The patent applies local quality by customizing information delivery based on each user's specific geolocation context. Instead of providing uniform information to all users, the system determines and transmits only those object profiles that are relevant to users within their current proximity zone, making information delivery both complete for relevant objects and efficient in scale.
Solution Approach 2:
The system segments the user base into proximity-based groups and segments object information into location-specific subsets. By dividing the comprehensive object database into geographically relevant portions and delivering only those segments to each user, the system maintains information completeness for relevant objects while reducing overall transmission volume.
3Adaptability or versatility
If the system enables community members to curate and post content freely, then content variety and user engagement increase, but content quality and reliability may decrease
Solution Approach 1:
The patent implements feedback mechanisms where object profiles are continuously updated based on community submissions. The system processes user-generated content about physical objects, validates and integrates it into the profile database, and delivers updated information to relevant users. This creates a self-correcting system where community input improves content variety while systematic processing maintains reliability.
Data Source
AI summary
A computer-implemented method for providing geographically targeted information corresponding to physical objects to a plurality of community members includes creating a database of physical object profiles corresponding to a plurality of physical objects, wherein each physical object profile comprises descriptive information corresponding to a physical object and a transitory geographic location associated with the physical object. An indication of a geographic location of a community member is received. Based on this indication, one or more item profiles in the database of physical object profiles within a predetermined geographic proximity to the community member are identified. Then, the identified profiles are transmitted to the community member.