Development of an Integrated Distribution Planning System for Supply Chain Optimization

The client operates an extensive distribution network spanning multiple countries, currently relying on multiple internal databases to manage product distribution. As the enterprise grows, this fragmentation hampers operational efficiency, accuracy in demand forecasting, and timely delivery, especially during peak seasons. The lack of an integrated, automated planning tool leads to suboptimal inventory levels, increased costs, and challenge in scaling distribution efforts effectively.

A large-scale manufacturing or beverage distribution company with operations across multiple markets seeking to optimize its distribution planning through digital solutions.

• Design and implement a comprehensive digital distribution planning tool capable of consolidating disparate databases.
• Enable the system to determine optimal quantities per location based on historical consumption data and future demand projections.
• Ensure the platform supports role-based user management, access control, and data filtering for operational security and relevance.
• Achieve timely deployment of the platform to facilitate testing during high-demand periods, ensuring readiness for full-scale roll-out.
• Improve distribution efficiency, reduce logistical costs, and enhance scalability to support business growth and market expansion.

• Data consolidation module integrating multiple internal databases into a unified system
• Demand forecasting engine utilizing historical and predictive analytics
• Role-based authentication and access control to ensure secure and appropriate data visibility
• Role-based data filtering tailored to user roles and responsibilities
• User management dashboard to handle permissions and user activity
• Bug tracking and issue management system
• Configurable deployment pipeline with CI/CD processes for seamless updates
• Environment configuration settings optimized for production deployment

• Existing internal databases for data consolidation
• Analytics services for demand forecasting
• Authentication systems for user management

• System scalability to handle increasing data volume and user load
• High system availability and reliability, especially during peak seasons
• Performance optimization for real-time data processing and analysis
• Robust security measures including role-based access control and secure data transmission
• Compliance with relevant data protection standards

The implementation of the integrated distribution planning system is expected to streamline the supply chain process, improve demand forecasting accuracy, and reduce distribution costs. By enabling timely testing during peak seasons, the solution aims to facilitate broader adoption across markets, leading to enhanced operational efficiency, better inventory management, and a healthier bottom line, similar to previous outcomes observed in comparable implementations.