project-ce73b778

byAdi Sabale

Auto-reconciliation helper for small accounting setups A tool that pulls data from bank statements and sales records (CSV/Excel) and pre-matches transactions, highlighting only exceptions for the accountant. � Cuts reconciliation time drastically by doing first-pass matching. v1 can focus on a narrow pattern (one bank + one sales source).

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System Requirements

System Requirement Document
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project-ce73b778 System Requirements Document

Introduction

The purpose of this document is to outline the system requirements for "project-ce73b778," a tool designed to assist small accounting setups by automating the reconciliation process. The tool will pull data from bank statements and sales records, perform pre-matching of transactions, and highlight exceptions for the accountant to review. The initial version will support one bank and one sales source.

System Overview

The system aims to streamline the reconciliation process for small accounting setups by automating the initial matching of transactions from bank statements and sales records. This will significantly reduce the time accountants spend on reconciliation by focusing only on exceptions.

Source Content Inventory

  • Bank Statements: Data source for transaction records.
  • Sales Records: Data source for sales transactions, available in CSV/Excel format.
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Functional Requirements as Story Points

  • As an Accountant, I should be able to upload bank statements in CSV/Excel format for reconciliation.
  • As an Accountant, I should be able to upload sales records in CSV/Excel format for reconciliation.
  • As an Accountant, I should be able to view pre-matched transactions between bank statements and sales records.
  • As an Accountant, I should be able to see highlighted exceptions where transactions do not match.
  • As an Accountant, I should be able to download a report of the reconciliation process, including matched transactions and exceptions.

User Personas

  • Accountant: The primary user responsible for managing and reconciling financial transactions.

Core User Flows

  1. Accountant uploads bank statement -> Accountant uploads sales record -> System pre-matches transactions -> System highlights exceptions -> Accountant reviews exceptions -> Accountant downloads reconciliation report.
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Visuals Colors and Theme

  • primary: #2A9D8F (Teal)
  • primary_light: #A8DADC (Light Teal)
  • secondary: #E63946 (Coral Red)
  • accent: #F4A261 (Orange)
  • highlight: #E9C46A (Yellow)
  • bg: #F1FAEE (Off White)
  • surface: rgba(233, 244, 249, 0.8)
  • text: #264653 (Dark Blue)
  • text_muted: #6D6875 (Muted Gray)
  • border: rgba(38, 70, 83, 0.2)

Signature Design Concept

The homepage will feature an interactive "Transaction Flow" animation. Users will see a visual representation of transactions flowing from bank statements and sales records into a central reconciliation engine. As transactions are processed, matched transactions will smoothly flow into a "Matched" section, while exceptions will be highlighted and directed to an "Exceptions" area. This dynamic visualization will use motion/react for smooth transitions and interactions, allowing users to click on exceptions to view details.

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Landing Hero Motion Brief

The landing hero will depict a continuous loop of transactions entering a digital ledger. As transactions enter, they transform through a reconciliation engine, visibly changing color to indicate matching status. The final outcome shows a balanced ledger with highlighted exceptions. This animation will be created using motion/react for a seamless and engaging experience.

Interaction Model & Motion Direction

  • Interaction Model: Animated
  • The landing page will feature moderate scroll-triggered reveals and hover transitions, with spring physics on interactive elements to enhance user engagement.

Non-Functional Requirements

  • The system should process transactions quickly to minimize waiting time for users.
  • The system should ensure data security and privacy, particularly for sensitive financial information.

Tech Stack

  • Frontend: React for Web
  • Backend: Python, FastAPI
  • Database: MySQL or MariaDB
  • Local Orchestration: Docker, docker-compose
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Assumptions and Constraints

  • The initial version will support only one bank and one sales source.
  • Users will provide data in CSV/Excel format.
  • The system will operate within the Indian timezone and locale settings.

Glossary

  • Reconciliation: The process of ensuring that two sets of records (usually the balances of two accounts) are in agreement.
  • Exceptions: Transactions that do not match between bank statements and sales records.
  • CSV/Excel: File formats used for storing tabular data.
Landing design preview
Landing: View Info
Login: Sign In
Dashboard: View Overview
Upload: Upload Bank Statement
Upload: Upload Sales Record
Matching: View Pre-Matched
Exceptions: View Exceptions
Exceptions: Review Exception
Exceptions: Resolve Exception
Reports: View Reconciliation
Reports: Download Report
History: View Past Reconciliations
Landing design preview
Landing: View Info
Login: Sign In
Dashboard: View Overview
Upload: Upload Bank Statement
Upload: Upload Sales Record
Matching: View Pre-Matched
Exceptions: View Exceptions
Exceptions: Review Exception
Exceptions: Resolve Exception
Reports: View Reconciliation
Reports: Download Report
History: View Past Reconciliations