The objective of this project is to design a supply chain performance monitoring system integrated with demand forecasting techniques. The system will analyze historical sales and inventory data to predict demand trends and improve procurement planning, reducing wastage and ensuring timely product availability.
Collect and preprocess historical sales and inventory datasets.
Design database for storing transactional and forecasting data.
Implement basic forecasting algorithms (moving average or regression).
Develop modules for procurement planning based on predicted demand.
Create performance dashboards displaying order fulfillment rate and delivery time.
Analyze supply chain KPIs such as lead time and stock turnover ratio.
Implement visualization tools for trend analysis and comparison reports.
Validate forecasting accuracy using test datasets.
Conduct system performance testing and optimization.
Compile project report including methodology, analysis, and results.
