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.
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