Using the Apriori algorithm for product bundling

For now, we have focused on clients that are decreasing their purchases to create specific offers for them for products that they are not buying, but we can also improve the results for those that are already loyal customers. We can improve the number of products that they are buying by doing a market basket analysis and offering products that relate to their patterns of consumption. For this, we can use several algorithms.

One of the most popular methods for association rule learning is the Apriori algorithm. It recognizes the things in a data collection and expands them to ever-larger groupings of items. Apriori is employed in association rule mining in datasets to search for several often-occurring sets of things. It expands on the itemsets’ connections and linkages. This is the implementation of the “You may also like” suggestions that you frequently see on recommendation sites are the result of an algorithm...