Bi-directional Video Feed System with Dynamic Expertise Matching
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Solution Overview
Problem
Current online marketplaces face challenges in connecting consumers with subject matter experts through bi-directional video/audio communication without intermediary steps, and they lack the ability to dynamically update service provider expertise and categories as knowledge evolves.
Innovation Solution
A system that establishes a bi-directional video/audio connection between consumers and service providers within seconds, manages real-time availability, and allows service providers to easily update their expertise by scraping data from social media and other sources, using AI to pre-select relevant categories and prioritize providers based on availability, ratings, and real-time status indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional online marketplaces use multiple intermediary steps to connect consumers with service providers, then they can verify and match providers carefully, but the connection process becomes cumbersome and time-consuming
Solution Approach 1:
The system performs preliminary actions by pre-verifying service providers, pre-categorizing their expertise, and pre-matching them with consumer needs before actual connection. Providers complete verification and profile setup in advance, so when a consumer searches, the matching and connection can occur immediately without intermediary steps during the actual interaction.
Solution Approach 2:
The patent extracts and removes the cumbersome intermediary steps from the connection process. By separating the verification and matching functions into background system operations rather than requiring them as active intermediary steps during connection, the system achieves both reliability through verification and speed by eliminating the friction of multiple approval and scheduling steps.
2Measurement precision
If service providers manually update their expertise profiles, then they can ensure accuracy, but the process becomes tedious and providers may not keep up with evolving knowledge
Solution Approach 1:
The system enables self-service by automatically scraping and updating service provider expertise profiles from external sources such as social media, publications, and professional networks. Providers don't need to manually update their profiles; the system autonomously monitors and extracts new expertise areas, ensuring profiles remain current with evolving knowledge while requiring minimal provider intervention.
Solution Approach 2:
The system implements feedback loops where scraped data from external sources continuously feeds into provider profiles, and the system monitors changes in provider expertise areas. This automated feedback mechanism ensures profiles are dynamically updated based on actual provider activities and publications, maintaining accuracy without manual effort.
3Productivity
If the system pre-selects categories for consumers using AI analysis, then category selection becomes automated and fast, but the system complexity increases
Solution Approach 1:
The patent introduces an AI-based intermediary layer that automatically analyzes consumer input, social media data, and search patterns to pre-select relevant service categories. This intermediary system processes and structures unstructured consumer needs into categorized service requests, enabling fast automated matching while the AI layer handles the complexity of analysis and categorization behind the scenes.
Data Source
AI summary
System and method for a consumer to initiate a live bi-directional audio/video feed to a previously unknown available service provider either by selecting from a set of dynamically determined categories or through natural language search techniques.