project-f790a6aa System Requirements Document

Introduction

The purpose of this document is to outline the system requirements for the project-f790a6aa, a SaaS solution designed to address the issue of late payments and inconsistent manual follow-ups for businesses. The project aims to enhance cash flow by automating reminder sequences and providing smart collections orchestration.

System Overview

project-f790a6aa is a micro SaaS platform that helps businesses manage their cash flow by automating payment reminders and follow-ups. The system will feature automated reminder sequences, payment link insertion, overdue tracking, a client status dashboard, and escalation rules. A key feature is the smart collections orchestration, which dynamically adjusts based on client behavior and invoice risk.

Functional Requirements as Story Points

• As a Business Owner, I should be able to automate reminder sequences to ensure timely payment from clients.
• As a Business Owner, I should be able to insert payment links into reminders to facilitate easy payments.
• As a Business Owner, I should be able to track overdue invoices to manage outstanding payments effectively.
• As a Business Owner, I should be able to view a client status dashboard to monitor payment statuses and client interactions.
• As a Business Owner, I should be able to set escalation rules to handle overdue payments systematically.
• As a Business Owner, I should be able to utilize smart collections orchestration that changes tone, channel, timing, and escalation based on client behavior and invoice risk.

User Personas

• Business Owner: The primary user responsible for managing client payments and ensuring cash flow.
• Account Manager: A user who assists in monitoring client interactions and managing overdue payments.

Core User Flows

• Business Owner sets up automated reminder sequences -> System sends reminders with payment links -> Client receives and pays invoice -> System updates client status dashboard.
• Overdue invoice detected -> System triggers escalation rules -> Smart collections orchestration adjusts communication strategy -> Payment received or further escalation initiated.

Visuals Colors and Theme

• primary: #1A73E8 (Deep Blue)
• primary_light: #4D90FE (Light Blue)
• secondary: #FF6F61 (Coral)
• accent: #FFD700 (Gold)
• highlight: #FFA500 (Orange)
• bg: #F4F4F9 (Light Gray)
• surface: rgba(255, 255, 255, 0.8)
• text: #333333 (Dark Gray)
• text_muted: #777777 (Muted Gray)
• border: rgba(200, 200, 200, 0.5)

Signature Design Concept

The homepage will feature an interactive "Payment Journey" animation. Users can drag and drop invoices into a virtual timeline, where they transform through various stages: "Sent," "Viewed," "Paid," and "Overdue." Each stage will have dynamic animations, such as envelopes opening, coins stacking, and alerts flashing. This will be built using motion/react for smooth transitions and interactions, providing a vivid and engaging experience.

Landing Hero Motion Brief

The landing hero will depict a series of invoices traveling through a digital pipeline. As they progress, they transform from red (overdue) to green (paid), symbolizing successful payment processing. This 10-second loop will use motion/react to animate the transformation, with interactive elements allowing users to click on invoices to view details. The animation will pause on hover, providing a clear view of the process.

Interaction Model & Motion Direction

• Intended Interaction Model: Animated
• The landing page will feature moderate scroll-triggered reveals and hover transitions, enhancing the user experience with interactive elements that respond to user actions.

Non-Functional Requirements

• The system must ensure data security and privacy for all client information.
• The platform should be scalable to accommodate growing numbers of users and transactions.
• The system should maintain high availability and reliability to support business operations.

Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: MySQL or MariaDB, using Alembic for migrations
• AI Tools: Litellm for LLM Routing, Langchain
• Local Orchestration: Docker, docker-compose
• Server-side Orchestration: Kubernetes

Assumptions and Constraints

• The system will primarily target small to medium-sized businesses in Pakistan.
• Payment processing will be integrated with local payment gateways.
• The platform will operate in the PK timezone and support PKR currency.

Glossary

• SaaS: Software as a Service
• LLM: Large Language Model
• AI: Artificial Intelligence
• PKR: Pakistani Rupee

This document outlines the comprehensive requirements for project-f790a6aa, ensuring a robust and user-friendly solution for managing business payments and improving cash flow.