Hi,
I’m very new to bayesian modeling and am trying to figure out if the idea I have for how to model a particular dataset makes sense and/or is feasible.
Apologies for being a bit vague about the industry, but the data I have is monthly transactions down to the product level for a large number of different products and companies. I have the transaction data at the facility level. I’m interested in doing some sort of online changepoint detection, where we could use the data to identify shifts in the purchasing pattern that might indicate that the growth rate in sales for a particular product is changing significantly.
At the facility level the data is pretty sparse and noisy, but my thought was that you might be able to detect a change in spending patterns if it is consistent across a large set of facilities. Does this general approach make any sense or am I looking in the wrong direction?
Thanks!