I have a population of customers (n=50,000) that I would like to analyze (in RStudio) and predict which product is the Next Most Likely (NML) to be bought, based on the current populations active products sold so far. I have 60 possible products customers can buy, and they all have various combinations of each products ranging from 2 to 60 per customer.
I am chasing down ideas to solve for which "combinations" of sold products leads to the next product sold (not just a single product to single product combination correlation).
Since customers all have more than one product bought a pairwise correlation matrix is not the answer I am looking for, since customers can have any number of combinations of products and I want to predict which combination buckets of products leads to the next product.
