Simulation-Based Virtual Advisor for Financial Decision Guidance
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Solution Overview
Problem
Virtual assistants, such as chatbots, lack the ability to provide realistic and user-specific advice, failing to offer timely and dynamic guidance on financial decisions, as they are limited to providing static information and cannot simulate future financial impacts effectively.
Innovation Solution
Integration of a conversational virtual agent with a simulation agent to provide users with real-time advice and predictions on the impact of financial actions, using message-based communication and simulations to offer personalized insights on financial decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If virtual assistants use static information storage and retrieval methods, then they can provide quick answers to common questions, but they cannot provide realistic and user-specific advice on financial decisions
Solution Approach 1:
The patent transforms the static virtual assistant into a dynamic system by integrating simulation capabilities that can model future financial scenarios. The system dynamically generates personalized financial advice by simulating different decision outcomes based on user-specific data, enabling both quick responses and adaptive, personalized guidance.
Solution Approach 2:
The patent introduces a simulation engine as an intermediary component between the user query and the response generation. This simulation engine acts as a mediator that processes user-specific financial data, runs scenario simulations, and generates personalized advice, thereby bridging the gap between static information retrieval and dynamic personalized counseling.
2Productivity
If virtual assistants provide generic information to multiple users, then they can handle many queries efficiently, but they fail to provide timely and dynamic guidance on individual financial decisions
Solution Approach 1:
The patent implements preliminary action by pre-building simulation models and financial scenario frameworks that can be rapidly instantiated for each user. The system prepares simulation templates and data processing pipelines in advance, allowing quick deployment of personalized analysis when users submit queries, thus reducing the time needed for individual financial guidance.
Solution Approach 2:
The patent uses copying by creating personalized simulations based on templates and frameworks that can be rapidly replicated for different users. Instead of building analysis from scratch for each user, the system copies and adapts pre-validated simulation models to individual user contexts, maintaining both efficiency and personalization.
3Ease of manufacture
If virtual assistants are configured with simple rule-based responses, then they are easy to implement and maintain, but they cannot simulate future financial impacts or provide valuable guidance
Solution Approach 1:
The patent merges simple rule-based response systems with complex simulation capabilities into a hybrid architecture. The system combines easy-to-implement rule-based handling for routine queries with more sophisticated simulation engines for financial impact analysis, achieving both ease of implementation and reliable, accurate financial advice through the integration of multiple approaches.
Data Source
AI summary
Various embodiments of the present disclosure relate generally to providing virtual assistants. More specifically, various embodiments of the present disclosure relate to methods and systems for providing a simulation-based virtual advisor. In some embodiments, the systems and methods combine and/or integrate the functionality of a conversational virtual agent (e.g., a virtual assistant) with the functionality of a simulation virtual agent, to provide users, customers, or members with targeted, user-specific information in response to questions or other intentions posed by the users via messages exchanged between the users and the agents.