Implementation of Shop ERP System
Enterprise Resource Planning (ERP) systems play a crucial role in the efficient management of modern retail businesses, enabling seamless control over inventory, sales, customer data, and financial transactions. This project presents an advanced and comprehensive Shop ERP system, integrating various modules for inventory tracking, billing, customer management, and business intelligence reporting. By utilizing Power BI for interactive visualization, SQL for database management, and Python for data processing, the system provides real-time analytics and automation to optimize retail operations. The research focuses on building a scalable, robust, and user-friendly ERP solution tailored for retail businesses. Additionally, the system incorporates machine learning capabilities to enhance predictive analytics, improving decision-making and operational efficiency.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-11
- DOI
- https://doi.org/10.5281/zenodo.15194836
- Primary Topic
- ERP Systems Implementation and Impact
- Type
- article
- Field-Weighted Citation Impact
- 0.00