Mattress Store and Warehouse ERP

The ERP website for the mattress store and warehouse is designed to streamline operations across various business functions. It manages data efficiently, including warehouse stock tracking, stock transfers between the warehouse and store, purchasing, and sales. Additionally, it handles receivables and payables while providing comprehensive reporting to support informed decision-making.

This project was built using MySQL as the database to manage and store data efficiently. Node.js serves as the backend to handle server-side operations and business logic, ensuring smooth communication with the database. React.js powers the frontend, providing a dynamic and user-friendly interface for seamless user interaction.

Features Examples

1. Penjualan

This feature is designed to manage sales transaction data effectively. It ensures accurate tracking and organization of sales activities, from initial transactions to completion. By streamlining the process, it provides reliable insights and supports smooth sales operations.

2. Receivables and Payables

This feature is designed to manage receivables and payables data efficiently. It ensures accurate tracking of outstanding payments and liabilities, providing a clear overview of financial obligations. By streamlining this process, it supports effective cash flow management and financial planning.

3. Warehouse Stock Tracking

This feature is designed to manage warehouse stock tracking data efficiently. It enables accurate monitoring of inventory levels, ensuring optimal stock management and preventing shortages or overstocking. By streamlining the tracking process, it supports smooth warehouse operations and informed decision-making.

4. Stock Transfer

This feature is designed to manage stock transfer data between the warehouse and store effectively. It ensures accurate tracking of inventory movements, facilitating smooth transfers and maintaining optimal stock levels at both locations. By streamlining this process, it supports efficient inventory management and enhances operational efficiency.

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