Recurrent neural networks (RNNs) offer several advantages for our product.

1. Most prominently, they operate directly on sequences of data and thus are a perfect fit for modeling consumer histories.
2. Time-intensive human feature engineering is no longer required. In general, learning from raw data can help to avoid limitations when placing too much confidence in human domain modeling.
3. Furthermore, demand for explaining the predictions of machine learning models is increasing strongly. RNNs can be helpful in providing explanations as they make it easy to directly relate event sequences to predicted probabilities.