In this project, we focus on increasing sales in e-commerce shops by offering purchasing incentives to shoppers who are likely to leave without buying. More specifically, our goal is to predict which shoppers are likely to abandon their shopping cart and what can be done while they’re still on the site to customize their shopping experience and encourage them to buy (e.g. offering a discount). Our approach is based on analyzing the shopping experiences of various customers in many different retail stores to learn a statistical model of the customer shopping cycle.