I will try to explain an approach of how to score a customer’s intent of repurchasing a consumer goods or automobile etc. in Azure ML Studio.
First, we should check our data quality and decide the time intervals we will use in our predictive model. We can use the last 5 years’ sales and customer data for our data gathering task. We can gather 4-year data for all customers based on their transactions, invoice amount, campaign responses, and their RFM (Recency, Frequency, Monetary) data points. We can then flag the customers, who repurchased last year as our target customers.