What tourist attraction can be recommended to a tourist as the next destination? We were on the trail of this question with the customer.

The client wanted to explore the possibility of using transactional data to train a predictive model that could estimate visitor density based on the market of origin.

Pickup orders for packaging units with simultaneous forecasting of the quantity of contents based on operational data for two weeks in advance for more than 8000 pickups predictable.

Forecast total customer demand and orders for change based on operational data for several months for 5000 locations.

In this article we present an Artificial Intelligence application on information extraction under the paradigm of less training data. In the specific case, data (offers, documents, photos, emails) from the real estate industry were processed. However, the presented solution can also be trained and used for any other information from completely different industries with little effort.