SmartBooks AI - Your Intelligent Accounting Partner
The accounting management application is designed to help organizations track their financial activities, including revenue and expenses. The application leverages AI to provide insights and suggestions for efficiency gains, trends analysis, and financial optimization. The system ensures compliance and security by associating all data with specific tenants, ensuring data isolation and integrity.
Key Features:
- Revenue and Expense Tracking:
- Track total revenue and expenses for each organization.
- Break down expenses by department.
- Document Upload and Parsing:
- Upload invoices and receipts.
- Automatically parse documents to update revenue or expenses.
- AI-Powered Insights:
- Analyze financial trends.
- Provide suggestions to fix increasing expenses or dropping revenue.
- Suggest efficiency gains by analyzing internal data and third-party vendor information.
- Reports and Analytics:
- Generate detailed financial reports.
- View statistics and trends over time.
- User Management:
- Support multiple roles including administrators, accountants, and auditors.
- Ensure secure access to financial data.
Postgres Schemas
1. departments
Stores information about various departments within a tenant. This helps to report revenue and expenses by department.
2. revenue
Tracks revenue entries with amounts, dates, and descriptions. AI can automatically populate these fields with uploaded invoices, contracts and receipts.
3. expenses
Tracks expense entries with amounts, dates, and descriptions. AI can automatically populate these fields with uploaded invoices, contracts and receipts.
4. invoices
Stores uploaded invoices, including file paths and associated amounts.The invoice itself is stored where the file_path is referencing but the embeddings are generated for them and stored in the table. In a real world application, these invoices will be chunked and embeddings will be generated for each chunk.
5. receipts
Stores uploaded receipts, including file paths and associated amounts. The receipt itself is stored where the file_path is referencing but the embeddings are generated for them and stored in the table. In a real world application, these receipts will be chunked and embeddings will be generated for each chunk.
6. financial_reports
Stores generated financial reports, including type and data in JSON format.These financial report are also pushed to the AI model to help with answering questions about the reports.
Full Script
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