project-75c5dfea System Requirements Document

Introduction

This document outlines the system requirements for project-75c5dfea, which aims to integrate GradeIQ's material-pricing intelligence into QuoteForge after proving QuoteForge's adoption. The goal is to enhance the competitive advantage by providing a unique, data-driven pricing solution for machine shops.

System Overview

Project-75c5dfea is designed to create a synergy between two components: QuoteForge and GradeIQ. QuoteForge is an AI-driven tool that prices parts by analyzing CAD/STEP drawings and historical cost data. GradeIQ, on the other hand, uses camera technology to price incoming metal by grading scrap or raw-stock loads against live commodity indices. By integrating these two systems, the project aims to offer a comprehensive pricing solution that accurately reflects current metal costs and enhances the quoting process for machine shops.

Functional Requirements as Story Points

• As a Machine Shop Owner, I should be able to receive accurate quotes for parts based on current metal prices and historical data.
• As a Machine Shop Owner, I should be able to input CAD/STEP drawings into QuoteForge for automated pricing.
• As a Machine Shop Owner, I should be able to view the breakdown of material and labor costs in the quote.
• As a Machine Shop Owner, I should be able to track the feedback loop of offcut and scrap data into the material-pricing model.
• As a System Administrator, I should be able to integrate GradeIQ's material-pricing intelligence into QuoteForge seamlessly.
• As a System Administrator, I should be able to update commodity indices for real-time pricing adjustments.
• As a System Administrator, I should be able to manage user access and permissions within the system.

User Personas

• Machine Shop Owner: The primary user who requires accurate and competitive quotes for parts manufacturing.
• System Administrator: Responsible for maintaining the system, integrating new features, and ensuring data accuracy.

Core User Flows

• Machine Shop Owner uploads CAD/STEP drawing -> QuoteForge analyzes drawing -> QuoteForge generates quote using historical data and current metal prices -> Owner reviews and accepts quote.
• System Administrator integrates GradeIQ -> Updates commodity indices -> Monitors system performance and user feedback.

Visuals Colors and Theme

• primary: #1E3A8A (Deep Blue)
• primary_light: #3B82F6 (Light Blue)
• secondary: #F59E0B (Amber)
• accent: #EF4444 (Red)
• highlight: #FBBF24 (Gold)
• bg: #F3F4F6 (Light Gray)
• surface: rgba(255, 255, 255, 0.8) (White)
• text: #111827 (Dark Gray)
• text_muted: #6B7280 (Muted Gray)
• border: rgba(209, 213, 219, 0.2) (Light Gray)

Signature Design Concept

The homepage of project-75c5dfea will feature an interactive "Metal Lifecycle" animation. Users will see a dynamic flow where raw metal enters the system, is processed through GradeIQ's camera technology, and then transformed into a finished part with a QuoteForge-generated quote. This animation will use motion/react for smooth transitions and interactions, allowing users to hover over different stages to see detailed information about each process. The design will include a continuous loop of the lifecycle, emphasizing the integration of both systems and the unique value proposition.

Landing Hero Motion Brief

The landing hero will depict a raw metal ingot entering a virtual processing line. As it moves, the ingot is scanned by GradeIQ, with visual indicators showing the grading process. The metal then morphs into a CAD drawing, which QuoteForge analyzes to produce a quote. This transformation will be animated using motion/react, with layers representing each stage of the process. The animation will loop every 10 seconds, highlighting the seamless integration and efficiency of the system.

Interaction Model & Motion Direction

• Intended Interaction Model: Animated
• The landing page will feature moderate scroll-triggered reveals and hover transitions, with spring physics applied to interactive elements. This approach will provide a polished and engaging experience for users, emphasizing the innovative nature of the project.

Non-Functional Requirements

• The system must ensure data accuracy and real-time updates for commodity indices.
• The integration of GradeIQ must not degrade the performance of QuoteForge.
• The system should be scalable to accommodate future enhancements and increased user load.

Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: MySQL or MariaDB, with alembic for migrations
• AI Models: Not specified
• AI Tools: Not specified
• Local Orchestration: Docker, docker-compose
• Server-side Orchestration: Kubernetes

Assumptions and Constraints

• It is assumed that QuoteForge's adoption will be proven before integrating GradeIQ.
• The integration will focus on enhancing competitive advantage by leveraging proprietary data.
• The project will initially target SMB machine shops with potential expansion to larger enterprises.

Glossary

• CAD/STEP: Computer-Aided Design/Standard for the Exchange of Product model data, used for creating and sharing digital models.
• Commodity Indices: Market indicators that track the price of raw materials.
• Machine Shop: A facility where machining operations are performed to manufacture parts.
• QuoteForge: An AI-driven tool for generating quotes based on CAD/STEP drawings and historical data.
• GradeIQ: A system that uses camera technology to grade and price incoming metal based on live commodity indices.