Please note this is a branch of the actual project. Synthetic data is being used here while the original repository is using operational company data.
High interests in machine learning (ML) and data visualisation resulted in this research and application of predictive analysis in the supply chain management (SCM).
A synthetic dataset was made by me for usage in this project based on a real-world data structure. This project for me to perform data science techniques and provide insights and provide a deliverable which shows how a despoke ML and data visualisation application can help with decison-making in SCM.
The final aim of this project is to gain crucial data science knowledge while also learning to working with raw real-world company datasets through synthetic datasets to provide real-time business intelligence.
To view the demonstration, please visit the demo folder and open the video inside of the directory.
SCM is a volitile and highly fluctuating industry, and companies need to have an accurate forecasting to ensure they keep the competitive edge that they are trying to uphold.
Utilising historical data from product orders through the synthetic dataset, ML can be incorporated to predict future customer order quantity requirements.
