Tenant Retention Optimization: Building an Interactive Power BI Dashboard for.
Start project- Civil Engineering and Construction
- 3 weeks duration
- Daniel Olusesicontributor
Skills to be developed
- Time-Series Analysis
- Machine Learning Modelling
- Feature Engineering
- Dashboarding
Project summary
This project focuses on developing a data-driven cement demand forecasting system for Midlands Infrastructure Group (MIG) Ltd. Using historical consumption, planned pours, inventory levels, and weather data, the solution will predict cement requirements across multiple construction sites and support efficient inventory management.
Business context
MIG operates multiple construction sites where cement availability directly impacts project timelines and operational costs. Existing manual forecasting methods contribute to stockouts, overstocking, material wastage, and emergency deliveries. The company needs a more reliable forecasting approach to improve procurement planning and maintain uninterrupted construction operations.
Project purpose
The purpose of this project is to build a predictive system that forecasts cement demand across sites and cement types over an eight-week horizon. By combining operational, inventory, and weather variables, the system will enable proactive procurement, optimized silo utilization, Read more >>>