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Enhanced Sales & Operations Planning (S&OP) Web Application Development

ironin.it

Business services

Information technology

Challenges with Existing S&OP System

The client's existing Sales & Operations Planning (S&OP) web application required significant enhancements to improve functionality, performance, and maintainability. Key challenges included a need for advanced sales forecasting capabilities, improvements to the user interface and data structure, and ongoing maintenance and bug fixes to ensure compatibility and stability.

About the Client

A business consulting firm specializing in Sales & Operations Planning (S&OP) offering a suite of solutions including assessment, consulting, education, and implementation.

Project Goals

Develop a robust sales forecasting module with advanced statistical algorithms.
Enhance existing application functionalities with improved user experience and data management.
Optimize the application's software architecture for scalability and maintainability.
Ensure the application's compatibility and functionality across various environments (e.g., IE).
Improve data integrity and reduce database complexity.

Functional Requirements

Sales trend forecasting using time series analysis and regression models.
Multilevel bookmarking functionality for easy navigation.
Simplified database structure for improved performance and maintainability.
Robust reporting and data visualization tools.
User authentication and authorization.
Data import/export capabilities.

Preferred Technologies

Python

React.js

Angular

Ruby

Elastic Search

PostgreSQL

Docker

Non-Functional Requirements

Scalability to handle increasing data volumes and user traffic.
High performance and responsiveness.
Secure data storage and transmission.
Reliability and availability.
Maintainability and ease of updates.

Expected Business Impact

The project is expected to improve the client's ability to forecast sales accurately, optimize operations, and provide better insights to their customers. The enhanced system will lead to improved decision-making, increased efficiency, and a stronger competitive advantage. The simplified database structure and optimized architecture will also reduce maintenance costs and improve system stability.