It analyses around 3bn past transactions and 200 variables (such as past sales, searches on Otto's site and weather information) to predict what customers will buy a week before they order.

它分析大约30亿次交易记录和200个变量（如过往销售、奥托网站上的搜索记录，以及天气信息等），在顾客下单前一周就预测出他们会买什么。