POC - Get an idea to create a Predictive Model I'm trying to look for an idea to create a predictive model having the following data:

Customer_ID - Integer
Catalog_ID - Integer
Country_Code - Integet
Year - Integet
Month - Integer
Day - Integer
Quantity_Purchased - Integer
Product_Purchased - Double


I'm trying to look for a use case that creates a predictive model than can give me the ability to propose a product for a customer the next time that he comes to my website.

Is this a collaborative filtering use case? If yes, I only can use the last two fields of my dataset, right?

Thanks!
Recommender systems are usually either collaborative ("other people who bought x also bought y") or content-based ("item y has similar properties as item x"). Given your very few data features, collaborative filtering seems appropriate. In the basic setting it could use only the purchases of your users. Ideally, you would also have some sort of rating of their purchases. 

Also, nothing stops you from using a hybrid approach with additional data if available.