I want to get tips and hints from you how I can handle the customer IDs in a time series of data of an online store to forecast revenue.So I have data like  customer ID, date of order, quantity, price, retail price, etc.So it is a time seire and I am constraint to the customer ID. I wanted to train a neural network But How do I handle the customer ID in the neural network? Do I ignore the indivual behaviour and the fact I have a time series? What are the simplest way to forecast revenues of such a typical time series of order from an store?
How to predict store's revenue with machine learning
machine learning