System Requirements Document (SRD)

1. Introduction

This document outlines the system requirements for developing a chatbot tailored for automotive aftermarket portals. The chatbot will serve as an all-in-one assistant, providing customer support, answering FAQs, assisting with order tracking, offering product recommendations, and guiding users to relevant parts or services. The chatbot will be text-based to ensure simplicity and accessibility.

2. System Overview

The automotive chatbot will be a text-based virtual assistant designed to enhance customer support for aftermarket portals. It will streamline user interactions by addressing a wide range of queries, including FAQs, order-related support, and product recommendations. The chatbot will integrate seamlessly with existing aftermarket systems and provide a user-friendly interface for efficient communication.

3. Functional Requirements as Story Points

• As a User, I should be able to ask FAQs and receive accurate responses.
• As a User, I should be able to track my orders through the chatbot.
• As a User, I should be able to receive product recommendations based on my queries.
• As a User, I should be able to resolve issues related to orders or services through the chatbot.
• As a User, I should be guided to relevant parts or services based on my input.
• As a User, I should be able to interact with the chatbot in a text-based format.

4. User Personas

• User: A customer using the aftermarket portal to find parts, track orders, or resolve issues. They value quick and accurate responses to their queries.
• Admin: A portal administrator responsible for managing the chatbot's integration, monitoring its performance, and updating its knowledge base as needed.

5. Visuals Colors and Theme

The chatbot interface will follow a sleek and modern automotive-inspired theme:

• Primary Colors: Midnight Blue (#001F3F) and Metallic Silver (#C0C0C0) to reflect the automotive industry.
• Accent Colors: Vibrant Orange (#FF851B) for highlights and call-to-action buttons.
• Background: Light Gray (#F5F5F5) for a clean and professional look.
• Font: Sans-serif fonts like Open Sans or Roboto for readability.

6. Signature Design Concept

The chatbot's landing page and interface will feature a "Dashboard-Inspired Design". The homepage will resemble a car's digital dashboard, complete with interactive widgets and animations.

Details:

• Homepage Design: The landing page will have a sleek, futuristic dashboard aesthetic. Users will see a central "speedometer" animation that dynamically updates as they type their query, symbolizing the chatbot's processing speed.
• Animations: Subtle animations will mimic the movement of car dials and gauges, creating a sense of motion and energy.
• Micro-Interactions: Buttons and icons will respond with smooth transitions, such as glowing effects or slight "click" animations, resembling the tactile feedback of pressing a car button.
• Chat Interface: The chat window will appear as a pop-up "console" on the dashboard, with a glowing border and a typing indicator that looks like a pulsing engine light.
• Color Shifts: The interface will subtly shift colors between the primary Midnight Blue and Metallic Silver as users interact, creating a dynamic and engaging experience.

This design will make the chatbot feel like an integral part of the automotive ecosystem, leaving a lasting impression on users.

7. Non-Functional Requirements

• The chatbot must respond to user queries within 2 seconds.
• The system should handle up to 10,000 concurrent users without performance degradation.
• The chatbot should maintain 99.9% uptime.
• The chatbot must comply with data privacy regulations such as GDPR.
• The chatbot should be easily scalable to accommodate future growth.

8. Tech Stack

• Frontend: React for the web interface.
• Backend: Python with FastAPI for handling chatbot logic and API integration.
• Database: MySQL for structured data storage, using Alembic for migrations.
• AI Models: GPT 5.2 for user-friendly responses.
• AI Tools: Langchain for managing conversational flows.
• Local Orchestration: Docker and docker-compose for containerization.
• Server-Side Orchestration: Kubernetes for scalability and deployment.

9. Assumptions and Constraints

• The chatbot will only support text-based interactions; no voice capabilities will be implemented.
• The chatbot will integrate with existing aftermarket portal systems via APIs.
• The system will rely on a stable internet connection for real-time responses.
• The chatbot's knowledge base will require periodic updates to stay relevant.

10. Glossary

• Aftermarket Portal: An online platform where customers can purchase automotive parts and services.
• Chatbot: A software application designed to simulate human conversation.
• FAQs: Frequently Asked Questions.
• GDPR: General Data Protection Regulation, a legal framework for data protection and privacy.
• Micro-Interactions: Small, subtle design elements that provide feedback to users during interactions.

This updated SRD incorporates the user's request to specify that the chatbot will be text-based and enhances the overall design and functionality to align with the project's goals.