Detailed Explanation of Use Cases for AI-Based Life Insurance Need Analysis System (LINAT)

This document provides an elaborate explanation of each use case, including user interaction, chatbot flow, technical implementation, and key outcomes.

1. User Intimation & Greeting

Use Case Description:

The chatbot initiates a conversation by greeting the user, setting the context, and guiding them toward selecting the right insurance option.

Flow Explanation:

1. User visits the chatbot → Either a first-time user or returning user.
2. Chatbot welcomes the user and introduces its capabilities.
3. Presents options for interaction:
   • "Analyze my insurance needs"
   • "Compare plans"
   • "Retrieve my saved session"

Example Chatbot Interaction:

• Chatbot: "Welcome to [Insurance Company]! I’m LINAT, your personal insurance advisor. I can help you find the best life insurance policy that fits your needs. What would you like to do today?"
• User Selects: "Analyze my insurance needs."
• Chatbot: "Great! Let’s begin with a few questions about your financial situation."

2. Collecting User Data

Use Case Description:

To recommend the right insurance plan, the chatbot collects key user details.

Flow Explanation:

1. Ask structured questions related to:
   • Age, Gender, Marital Status
   • Annual Income, Monthly Expenses
   • Liabilities (loans, mortgages)
   • Dependents (children, spouse, parents)
   • Existing insurance coverage