Predicting probability of order arriving on or before customer Requested Delivery Date(RDD) I have a historical data of orders from different customers of my company and delivery details. I wanted to develop a model which predicts the probability of customers order getting delivered before or on the "Requested Delivery Date".

In my data-set, i've details about 
customer
delivery location
product
delivery type
product classification (Can be exported or not) etc.

I was not able to start this model as I am not sure how to tackle this problem. It would be of great help, if you could suggest some reading material on the same or few link directing the same.
The most important thing here is to model your problem as time series, as you know, each example consists of one customer that has many orders over time. see Predicting Clinical Events via Recurrent Neural Networks