AI Advisory Matching System Resolving Advisor Search Time
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Solution Overview
Problem
Seekers face difficulties in finding suitable advisors for their topics of interest due to the lack of readily available and up-to-date contact information, and the inconvenience of searching through multiple sources for relevant advisors, leading to a time-consuming process without ensuring real-time availability.
Innovation Solution
A real-time advisory system using machine learning to connect seekers with relevant advisors, filtering and ranking them based on criteria such as ratings and preferences, and providing recorded answers through speech-to-text conversion and feedback analysis for improved future searches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If seekers search through traditional phone directories or internet-based search to find suitable advisors, then they can obtain contact information, but the process is time-consuming and results may not contain all useful solutions
Solution Approach 1:
The patent merges multiple disparate information sources (phone directories, internet search results, social media profiles, professional networking data) into a single unified advisor database. This consolidation allows seekers to access comprehensive advisor information from all sources simultaneously through one platform, eliminating the need to search multiple separate sources and ensuring complete information is available without increasing search time.
Solution Approach 2:
The system performs preliminary actions by pre-collecting, organizing, and indexing advisor contact information and expertise data from multiple sources before seekers need it. Advisors are pre-verified and their profiles are pre-populated with relevant information, so when seekers search for advisors, the information is already prepared and immediately available, eliminating the time-consuming process of gathering information from multiple sources during the search.
2Reliability
If seekers call advisors directly to check availability, then they can determine if the advisor is available, but they face a time-consuming trial and fail process or being placed on hold
Solution Approach 1:
The patent introduces an intermediary component - an automated availability checking system that acts as a mediator between seekers and advisors. When a seeker wants to check advisor availability, the system automatically contacts the advisor through integrated communication channels, verifies availability status, and relays the information back to the seeker. This eliminates the need for seekers to directly call advisors and undergo trial-and-error processes, providing reliable availability information instantly without time loss.
3Loss of information
If seekers manually collate information from multiple disparate sources, then they can gather complete advisor information, but it results in inconvenience and time-consuming series of actions
Solution Approach 1:
The system implements self-service by automatically performing the information collation task that would otherwise require manual effort from seekers. The platform autonomously gathers advisor information from multiple sources, verifies credentials, organizes data into comprehensive profiles, and presents it in an easily consumable format. Seekers simply need to input their search criteria, and the system handles all the complex information gathering and verification processes automatically, making the process both complete and easy to operate.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system efficiently matches seekers with suitable advisors in real-time, offering recorded answers and improving search results by analyzing feedback, thus reducing the time and effort in finding appropriate advisors and ensuring accurate availability.
Implementation Method 1
converting a speech advice into text using a speech-to-text conversion module and the speech-to-text conversion module translates audio into a language that a computer recognizes by picking up vibrations from the speech and feeding the vibrations to an analog-to-digital convertor for translating vibrations into digital data in text form
Data Source
AI summary
A method for intelligently connecting seekers to advisors and providing recorded or synthesized answers to the seekers using artificial intelligence is provided. Receiving a topic of interest from a seeker or retrieving advisors with expertise in the topic from a database of advisors, filtering and sorting the advisors based on ratings associated with each of the advisors related to the topic using machine learning and a plurality of criteria specified by the seeker, routing and establishing a call between the seeker and advisor, when the advisor is unavailable the call is rescheduled for alternate time windows of the advisor or with an alternate advisor and recording and storing the call for automating the answers to the similar questions, obtaining feedback from the seeker for the advisor, and updating the intelligent call routing system and the rankings of the advisor based on the plurality of criteria.