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Evershine Group
LANCERProject Description
Evershine Group, a prominent consumer solutions provider, needed a reliable system to manage high volumes of customer complaints efficiently. The manual processing of XLS files caused operational bottlenecks and delays. The client sought a backend system that could automate complaint data intake, ensure accuracy, and accelerate resolution workflows. A custom XLS processing backend was developed to meet their workflow demands.
Scope Of Work
The client sought Oodles to eliminate the inefficiencies of manual complaint data handling and required a robust backend setup to automate XLS file parsing. The project involved backend configuration, environment setup, and dependency management to enable smooth server-side operations. Core areas included backend scripting, automation logic, and scalable deployment for internal teams.
Our Solution
To address Evershine’s complaint management challenges, a backend solution was designed and implemented using Python 3.6+. The project focused on creating a structured, scalable setup for XLS file processing and automation.
Key Features Implemented:
- Secure Codebase Initialization: A dedicated Git repository was cloned and configured with branch isolation for backend workflows.
- Virtual Environment Setup: A clean and reproducible Python environment was created to manage dependencies and isolate project-specific packages.
- Automated Dependency Installation: Leveraged requirements.txt to ensure consistent library versions and prevent compatibility issues.
- Dynamic Server Launch: Configured Django’s development server to support flexible host-port combinations, easing local and shared testing.