Norman

Norman implements a robust transaction tracking system that utilizes a relational database to store transaction data, allowing users to categorize expenses and income dynamically. It employs a tagging system for easy retrieval and filtering, enabling users to generate reports based on specific categories or timeframes. This architecture allows for real-time updates and seamless integration with external financial APIs for automated data fetching.

Norman automates the invoicing process by generating invoices based on transaction data and client information stored in its database. It uses a cron job to schedule reminders for unpaid invoices, sending notifications via email or SMS. This system is built on a microservices architecture, allowing for easy scalability and integration with third-party payment processors.

Norman supports document uploads via a user-friendly interface, allowing users to attach relevant files to transactions or invoices. It employs a cloud storage solution to ensure secure and scalable document management. The system uses metadata tagging for easy retrieval and organization of documents, ensuring that users can quickly find necessary files when preparing for tax reporting or audits.

Norman simplifies tax reporting by aggregating transaction data and categorizing it according to tax regulations. It uses a rules engine to apply relevant tax codes and generate reports that align with local tax requirements. This capability is built on a modular architecture, allowing for updates to tax rules without overhauling the entire system.