AI-ML Advanced Analytics

    • Customer Segmentation

      Applied machine learning (k-means algorithm) to help our clients target specific clusters of customers for specific campaigns.

    • Customer Churn Prediction

      Used machine learning (logistic regression and random forest algorithms) to help our clients target specific customers for proactively working on churn reduction.

    • Sales Forecasting

      Capitalized machine learning (time series analysis using ARIMA – Auto Regressive Integrated Moving Average) for forecasting and explaining historical patterns.

    • Some examples of such use cases are

      • Explaining seasonal patterns in sales
      • Estimating the effect of a newly launched product on number of sold units