Implementation of the Enterprise Resource Planning System to Optimize Recording Transaction Using Odoo at Ani Mart.

Abstract

Ani Mart is a traditional basic food stall in South Jakarta, facing significant challenges in operational management, such as inefficient transaction recording, difficulty monitoring stock, and a lack of financial transparency. This problem causes operational inefficiencies in stock management and financial transparency. This research aims to improve operational efficiency and financial transparency through a POS (Point of Sale) system based on Odoo, which is designed to record all sales activities during store operations, making it easier to prepare financial reports and daily bookkeeping more efficiently. The methodology includes identifying business processes and problems, manufacturing value chain model Porter, business process planning, system implementation, and system testing. Business process identification obtains detailed data on sales business processes and operational issues while manufacturing value chain model porter supports the operational development of Ani Mart. Business process planning produces structured workflows through swimlane diagrams and use cases for integrated solutions. The ERP system implementation stage is Odoo-based integrated, with automation supports and operational accuracy. The final stage is testing to validate system function through black-box testing, ensuring system reliability and mitigating implementation risks. The research results show that the implementation of the Odoo POS system increases efficiency in recording transactions, speeds up inventory management, and produces financial reports that are accurate and accessible online. Real-time. This research emphasizes the importance of digitalization as a strategic solution for MSMEs in facing modern business competition, especially in the traditional retail sector.