Project Information

  • Project name
    : 
    Arima Time Series Sales Forecasting and Customer Segmentation Using Kmeans Clustering
  • Category
    : 
    Data Sciece, Virtual Internship
  • Role
    : 
    Data Scientist
  • Company
    : 
    Kalbe Nutritionals
  • Project date
    : 
    September 2023
  • Tools
    : 
    Jupyter Notebook, Tableau
  • Project URL
    : 
    GitHub
  • Link
    : 
    Presentation, Youtube, Tableau

Details

This project is an initiative that combines two powerful data analysis techniques to optimize marketing and inventory management strategies. We apply the ARIMA (AutoRegressive Integrated Moving Average) model to perform sales forecasts. By using historical sales data, we can predict future trends and fluctuations in sales of Kalbe Nutritionals products. This allows companies to make more timely decisions regarding production, distribution, and marketing strategies.

Apart from that, we also apply customer segmentation techniques using the KMeans Clustering algorithm. By using customer data such as purchasing behavior, preferences and demographics, we have succeeded in grouping Kalbe Nutritionals customers into different segments. This helps in understanding customer needs and preferences better, and allows companies to adjust marketing and customer service strategies effectively. Through this project, we not only optimize the company's internal processes, but also help Kalbe Nutritionals understand their market better

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