First off, this is not a homework question. I’m a business owner. I have data on 10,000 unique customers spanning 3 years. Every time someone comes to my store, they have the option of buying any combination of 15 items. I have data on whether or not they purchased each one of the 15 items or not for each time they visited, and how much they spent on each item.
I want to find some “predictor” that foretells what’s going to happen to sales of Item Y based on shifts in Items A, B, C… and/or N. What is the best method of determining a predictor or gaining some insight into behavior? Ideally, I’d be looking for something along the lines of “when a customer starts spending less on (or stops buying) Item B’s, it is a sign that they will also start spending less on (or stop buying) Item Y’s in the future.”
My gut says that a Neural Network analysis is what I want, but I want to see what others think is the best way to make sense of this data.