Intelligent Shopping: predict customers grocery basket datathon

Shopping for your groceries online is not the most delightful experience. It is often time consuming and includes boring, repetitive tasks, ie searching for products and adding them to your basket - one by one. Nevertheless, it is predicted that in 10 years, a third of all food will be ordered online. At IceMobile, we build recommendation systems for retailers and on intelligent shopping solutions. IceMobile envisions a future in which your supermarket apps knows you. It knows what you want to buy and when you need it. With a click of a button you order all items you want this week. Using artificial intelligence, you only need a number of clicks to fill your basket with dozens of products.In this datathon / hackathon you will get the opportunity to show your Machine Learning skills on a real retailer dataset containing transactional data. Your task will be to predict which products will be in each customer's next basket (ie what they will buy in their next visit). There will be two prizes that you can win. First prize is for the best performing model, being the model with the highest F1 score on our IceMobile leaderboard. The other prize is the best idea and presentation. Albert Heijn Data director Caroline Fluit, Head of data from IceMobile Arnoud Andeweg and Rick Swinkels- Head of data BrandLoyalty will be sitting at the judges table!  BYOL: Participants are required to bring their own laptop. We will provide a server environment with languages ​​Python and R, GPU support and almost all machine learning libraries you can think of.In case you want to code in a different language you are very welcome, but we are unfortunately not able to provide similar support. Program: 09.00-09.30 Welcome 09.30-09.45 Kick off- Intro Ice 09.45-10.00 CBI team preso- what we do 10.00-10.15 Business Case 10.30 Start!  12.30- Lunch and pecha kucha workshop  13.00-16.00 hacking 16.15 Pitch your ideas