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Enhanced Sales & Operations Planning System with Advanced Forecasting and Functionality Extension
  1. case
  2. Enhanced Sales & Operations Planning System with Advanced Forecasting and Functionality Extension

Enhanced Sales & Operations Planning System with Advanced Forecasting and Functionality Extension

ironin.it
Business services
Information technology

Identified Challenges in Sales & Operations Planning Efficiency and Accuracy

The client faces difficulties with outdated S&OP systems that lack advanced forecasting capabilities, leading to limited insight into sales trends, inefficiencies in planning processes, and the need for frequent manual adjustments. The existing platform requires modern enhancements to support complex analytics, improve performance, and maintain compatibility across browsers, including legacy support.

About the Client

A mid-sized consulting firm specializing in Sales & Operations Planning (S&OP), providing assessment, consulting, education, and implementation services to optimize client supply chains and sales forecasts.

Goals for Developing an Advanced S&OP System to Drive Business Efficiency

  • Develop a new sales forecasting module utilizing advanced algorithms, including time series analysis and regression, to accurately predict sales trends.
  • Enhance existing application functionalities with a focus on frontend and backend improvements, including multilevel bookmarking features and optimized database structures.
  • Perform ongoing system maintenance, bug fixing, and customization to ensure stability and adaptability to client requirements.
  • Ensure technical architecture supports high scalability, security, and performance to handle increasing data volumes and user load.
  • Complete project deliverables within tight deadlines while maintaining high-quality standards.

Core Functionalities and Features for the Enhanced S&OP System

  • Advanced sales forecast module employing statistical models like time series analysis and regression techniques.
  • Multilevel bookmark management with simplified database schemas for easier data organization and retrieval.
  • Real-time data processing and visualization to support decision-making.
  • System customization options including compatibility fixes for legacy browsers like Internet Explorer.
  • Maintenance tools for bug fixing, system updates, and security patches.
  • Data migration scripts to transfer existing data securely during system upgrades.

Preferred Technical Stack and Architectural Approaches

Python for backend logic and data analysis
React.js and Angular for frontend development
PostgreSQL for database management with optimized schema design
Elastic Search for efficient data querying and search capabilities
AWS cloud infrastructure for scalable deployment
Docker for containerization and deployment automation
RSpec for testing

External System Integrations for Seamless Data and Functionality

  • External data sources for sales trend analysis
  • Authentication and security systems
  • Existing client ERP or CRM systems for data synchronization

Non-Functional Requirements to Support System Robustness

  • High scalability to accommodate growing data volumes and users
  • System uptime of 99.9%
  • Optimized response times to ensure real-time analytics capabilities
  • Strong security measures including data encryption and access controls
  • Cross-browser compatibility, including legacy browsers like Internet Explorer

Anticipated Business Improvements from the New S&OP System

The implementation of the enhanced sales & operations planning system aims to improve forecast accuracy, streamline planning processes, and increase overall operational efficiency. Target outcomes include faster decision-making cycles, reduced manual adjustments, and better alignment between sales and supply chain initiatives, ultimately driving growth and customer satisfaction. With these improvements, the client expects to provide more reliable forecasting services, strengthening their market position.

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