Summary
In this chapter, we have learned to identify the clients that have a decreasing number of sales in order to offer them specific product recommendations based on their consumption patterns. We have identified the decreasing sales by looking at the slope in the historical sales in the given set of periods, and we used the SVD collaborative filtering algorithm to create personalized recommendations for products that customers are not buying.
As the next step and to improve the loyalty of existing customers, we have explored the use of the Apriori algorithm to run a market basket analysis and to be able to offer product recommendations based on specific products being bought.
In the next chapter, we will dive into how we identify the common traits of customers that churn in order to complement these approaches with a deeper understanding of our customer churn.
