Virtual Assistant Mortgage Information Delivery
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Solution Overview
Problem
Consumers face difficulties in accessing clear and relevant mortgage information, leading to delays in the home buying process due to the complexity and overwhelming nature of existing content delivery methods.
Innovation Solution
A virtual assistant system that processes user queries using natural language processing techniques and machine learning models, incorporating user financial information and market data to provide contextualized and personalized responses, mimicking human conversation and improving over time through user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional content delivery methods are used for mortgages, then comprehensive mortgage information can be provided, but the information becomes confusing and overwhelming for consumers
Solution Approach 1:
The patent segments mortgage information delivery by dividing it into multiple interaction turns rather than presenting all information at once. The virtual assistant processes consumer questions step-by-step, gathering necessary data points individually and providing targeted information in response to specific questions, thereby making comprehensive information accessible without overwhelming the consumer
Solution Approach 2:
The patent applies local quality by customizing information delivery based on the specific consumer's needs, existing knowledge, and progress through the mortgage process. The system adapts the depth, detail, and type of information provided to match the local context of each consumer's situation rather than using a uniform information delivery approach
2Measurement precision
If consumers gather large amounts of personal data to receive clear mortgage answers, then accurate information can be provided, but the process becomes complex and time-consuming
Solution Approach 1:
The patent implements preliminary action by proactively requesting and collecting necessary personal data points during the natural course of conversation rather than requiring consumers to gather all data beforehand. The virtual assistant anticipates what information will be needed and requests it incrementally as the discussion progresses
Solution Approach 2:
The system uses feedback mechanisms to determine what additional personal data is needed based on the consumer's responses and the specific mortgage questions being asked. The virtual assistant continuously adapts its information requests based on feedback from consumer answers, only requesting data that is actually necessary to provide accurate responses
3Adaptability or versatility
If traditional mortgage information delivery is used, then all mortgage topics can be covered, but consumers delay beginning the home buying process due to difficulty finding relevant information
Solution Approach 1:
The patent applies dynamics by making the information delivery process adaptive and responsive to consumer needs in real-time. The virtual assistant dynamically adjusts the scope, depth, and focus of mortgage information based on the specific questions asked and the context of the conversation, allowing comprehensive topic coverage while maintaining rapid responsiveness to consumer needs
Data Source
AI summary
In some implementations, the techniques include receiving a query from a user via a user device. The query may include one or more mortgage questions. In addition, the techniques may include accessing an account history may include financial information associated with the user and/or a query history for the user. Also, the techniques may include accessing market data. Further, the techniques may include providing the query, the account history, and/or the market data as an input to a virtual assistant application. The virtual assistant application may generates a response to the query using a knowledge base may include mortgage information. In addition, the techniques may include receiving the response as an output from the virtual assistant application.


