Development of the Next-Generation Generative Chatbot for the Financial Sector
The next-generation generative chatbot is a highly efficient solution for the financial sector, acting as an automated financial advisor that offers personalized recommendations based on market data, financial products, and the user’s investment context. Thanks to its multimodal analysis capabilities and long-term memory, the chatbot can assist users in making informed decisions about investments, banking products, and financial strategies.
- Personalized Financial Advisor
Application:
Banks and financial consultancies can train the chatbot with market data, financial products, and economic trends so users receive personalized financial advice. The chatbot can suggest investments, banking products, or saving and financial management strategies based on the user’s profile, risk level, and financial goals.
RAG Training: Using the /virtualbot/chatbot/rag/AutoTrainingBotByUser signature, financial institutions can load data on financial products, investment funds, saving strategies, and market analysis. This allows the chatbot to offer users personalized recommendations based on their financial situation and investment goals.
Example:
{
"user": "investor_demo",
"company": "bank_xyz",
"topic": "investment_products"
}
Interaction: A user might ask the chatbot: “What investment funds would you recommend for someone with a moderate risk profile looking for long-term investments?” The chatbot, based on trained market data and products, suggests various funds that match the client’s profile, highlighting risks, potential benefits, and specific conditions.
Benefit: Users receive personalized financial advice based on updated market data and available financial products, improving decision-making.
Advantages:
– Personalized advice: The chatbot offers recommendations aligned with each user’s investment profile, goals, and risk level.
– Investment decision optimization: Users can make informed decisions about financial products based on historical data and market analysis.
– Seamless interaction: Clients can get immediate responses about financial products without needing human interaction.
- Multimodal Analysis of Financial Reports and Market Charts
Application:
The chatbot can analyze financial reports, market charts, and other visual documents using the /virtualbot/chatbot/uploads/analyze signature. This enables users to upload market charts or financial reports to get detailed analysis and investment suggestions based on current market trends.
Financial Reports and Chart Analysis: Users can upload market charts, such as stock trend analyses or financial reports of a company, and the chatbot can interpret the data and provide investment recommendations based on visual information.
Example: A user uploads a chart showing stock market behavior over the last six months. The chatbot analyzes the information and suggests that, due to an upward trend in technology sectors, it would be advisable to invest in ETFs (exchange-traded funds) focused on technology.
Benefit: Users receive quick analysis of complex financial charts and get investment recommendations based on current market trends.
Advantages:
– Real-time financial analysis: The chatbot can interpret market charts and trends to provide insights based on updated data.
– Decision-making facilitation: Users can make informed decisions based on visual analysis of charts and financial data, without needing to manually interpret the information.
– Investment optimization: The chatbot suggests strategies and financial products based on visual analysis, maximizing investment return potential.
- Financial Assistant with Memory for Investment Tracking and Finances
Application:
The chatbot can remember previous investments, suggested strategies, and the financial history of each user using the /virtualbot/chatbot/rag/chatbotservice signature, allowing for continuous recommendations and tracking based on the user’s financial goals and progress.
Chatbot Memory: The chatbot can remember previous investments and the user’s risk profile, enabling it to offer recommendations aligned with previously discussed strategies. This is useful for tracking already acquired financial products and suggesting new investment opportunities.
Example: A user asks the chatbot: “How are my investments in the tech funds you recommended last month doing?” The chatbot retrieves the recommendation history and provides an updated analysis of the funds’ performance, along with suggestions for potential adjustments to the investment strategy.
Benefit: Users receive continuous financial advice and can efficiently track their investments, optimizing financial management.
Advantages:
– Personalized tracking: The chatbot provides ongoing evaluations of investments, helping users make informed decisions over time.
– Performance optimization: By tracking prior recommendations and monitoring investment progress, the chatbot suggests adjustments to maximize financial outcomes.
– Accessible financial history: The chatbot remembers previous interactions, enabling quick and efficient consultations on already-made investments.
- Financial Recommendation Generation via Audio
Application:
The chatbot can also handle financial inquiries in audio format using the /virtualbot/interpretability/extractInformationFromAudioUser signature, allowing users to verbally describe their financial concerns or needs and receive personalized recommendations.
Audio Interpretation: Users can record queries related to their finances or investment plans, and the chatbot will analyze the description to generate recommendations based on the trained financial products and data.
Example: A user records an audio saying: “I’m looking to invest in stocks but want something with moderate risk and good returns in the medium term. What options do you recommend?” The chatbot suggests various options, such as investment funds or stocks in less volatile sectors, and explains the associated risks.
Benefit: Users can interact with the chatbot using audio, enhancing accessibility and making interaction easier in situations where typing isn’t practical.
Advantages:
– Seamless and accessible interaction: Users can verbally describe their financial goals, facilitating consultation and recommendations without needing to type.
– Real-time recommendations: The chatbot provides financial advice based on audio queries, improving response speed.
– Simplified consultation process: Using audio enhances user experience, especially on mobile devices or in situations where typing is inconvenient.
- Comparative Evaluation of Financial Products and Investment Strategies
Application:
The chatbot can act as an assistant for comparative evaluation of financial products, investment strategies, and funds based on criteria like risk, expected returns, and liquidity. This allows users to efficiently compare different investment options and get recommendations based on their risk profile and financial objectives.
RAG Training for Comparative Evaluation: Banks or consultancies can train the chatbot with data on financial products and investment strategies so the system can compare options and suggest the best alternatives based on the user’s profile.
Example:
{
"user": "financial_advisor",
"company": "financial_consulting_xyz",
"topic": "comparative_evaluation"
}
Interaction: A user asks the chatbot: “What’s better for me, investing in an index fund or in a tech company’s stocks?” The chatbot analyzes both products based on the user’s risk profile and goals and provides a detailed comparison, highlighting the advantages and risks of each option.
Benefit: Comparative evaluation allows users to make informed decisions by assessing various investment options according to their personal criteria, optimizing their investment portfolio.
Advantages:
– Objective comparison of financial products: The chatbot evaluates and compares financial products based on the user’s criteria, providing precise and personalized recommendations.
– Investment decision optimization: By comparing different options, the chatbot helps users select investment strategies that best align with their financial goals.
– Real-time analysis: Users get immediate and detailed responses on the best options for their financial situation.
Conclusion
This next-generation generative chatbot is an advanced tool for the financial sector, providing an automated financial advisor that enhances investment decision-making, financial product management, and strategy tracking. With self-training capabilities, multimodal analysis of financial charts and documents, and long-term memory, the chatbot optimizes the user experience by offering personalized recommendations, continuous investment tracking, and detailed analyses based on the financial context. By automating the analysis of products and strategies, this system helps users manage their finances more efficiently and maximize their investment potential.
