We use various models for time series forecasting. Our main algorithm for predictions is a Long-Short Term Memory (LSTM) model . This algorithm has strong capabilities in capturing historical trends which can be used for future predictions. 

Our final product is an interactive dashboard which is hosted on Heroku. This is where the client can get an overview of the forecasts and cost analysis. 

Combined with our predictive analytics we provide a cost analysis which is based on the forecasts. This analysis is explorative and demonstrates cost savings in the current moment.

We mainly extract data from an API that your POS system provides. Other means of data extraction are also possible. This process is discussed with the client. 

We test a multitude of algorithms on your dataset including variations of the LSTM algorithm and other types of algorithms. We benchmark these algorithms based on performance and select the most accurate one for your data.

We ensure several security measures in order to protect your data. The most basic is authentication for accessing the dashboard.