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Customer Segmentation
Applied machine learning (k-means algorithm) to help our clients target specific clusters of customers for specific campaigns.
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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.
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Sales Forecasting
Capitalized machine learning (time series analysis using ARIMA – Auto Regressive Integrated Moving Average) for forecasting and explaining historical patterns.
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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
