For our business case, we will focus on identifying the association rules for a grocery store. The dataset will be from the arules package and is called Groceries. This dataset consists of actual transactions over a 30-day period from a real-world grocery store and consists of 9,835 different purchases. All the items purchased are put into one of 169 categories, for example, bread, wine, meat, and so on.
Let's say that we are a start-up microbrewery trying to make a headway in this grocery outlet and want to develop an understanding of what potential customers will purchase along with beer. This knowledge may just help us in identifying the right product placement within the store or support a cross-selling campaign.