Chapter 1. Setting the Stage
This project was part of an internal system modernization initiative to migrate legacy workflows into a web-based application. The system manages structured operational data such as item master data, product grouping and classification references, store-related records, and reporting outputs used for internal monitoring and follow-up. This helped improve data accessibility, workflow efficiency, and long-term system maintainability. The implementation was developed within an internal framework environment.
This work was delivered in collaboration with Internal Development Team.
Chapter 2. Carrying the Work
Responsibilities in this project included System Analysis, UI Development, Back-end Development, API Integration, SQL Query Development, and Bug Fixing and Enhancement.
Chapter 3. What Changed
The project successfully transformed legacy workflows into a structured web-based system with improved usability and maintainability. It enabled more organized data management and reporting processes, while supporting ongoing system development in a more scalable way.
Chapter 4. The Problem and the Response
Problem
The previous workflow relied on an older internal system structure, making it less flexible for further development. This project aimed to rebuild selected modules into a web-based environment with a more structured and efficient interface.
Solution
The implementation focused on maintaining the existing business flow while improving usability, system structure, and data handling through a web-based approach.
Chapter 5. How It Was Built
The project covered several internal modules related to master data and reporting. Users could search records, review data, update selected information, and generate report outputs through the web interface. Compared to the previous workflow, the new implementation offered a cleaner structure and a more streamlined experience for operational use, built within an internal framework ecosystem.
Implementation Flow: Back-end logic is implemented to support reading records, updating data, and processing reporting requests from the interface. Database queries and API integration are used to connect the interface with the application data structure in a maintainable way. The modules are refined through iteration, including bug fixing, validation improvements, and usability adjustments.
Implementation details included Legacy workflow migration into a web-based internal application, Interface development for master data and reporting modules, Back-end service development using Python Flask, Database and query handling with PostgreSQL, Structured UI implementation with Webix, Supported deployment to Google Cloud with assistance from the research team, and Search, reporting support, and ongoing enhancement during development.
Some module names, screens, and implementation details have been intentionally generalized because this was an internal enterprise project.
Chapter 6. Application Flow
Primary Flow: The existing workflow and module structure are reviewed first to understand how the current data maintenance and reporting process works. The web-based implementation is planned so each module can support search, data maintenance, and reporting activities in a clearer user flow. The interface is built to present data in a more structured layout, making operational tasks easier to access and use.
