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Intelligent multi-source data analysis system

The main goal of the developed system is to enable and improve the analysis of multi-source data, human behavior, business processes, data mining, and as a result, create and provide new improved procedures and solutions using artificial intelligence algorithms.

Data sources:

POSsales systems, POS

online stores,


loyalty systems (both based on traditional card systems and RFID) – customer flow in stores, websites,

beacons and others – navigation system inside the building,

facebook (profile likes, posts, etc.),

comments, opinions on the Internet,

adwords (tracking traffic on websites).

Integration with the user is available through a web application running on the most popular web browsers, i.e. Chrome or Mozilla Firefox.

With its help, you can perform your own analyses using the possibility of connections to various data sources and use ready-made algorithms to provide them with the appropriate data.

  • Possibility to load data from MSSQL, MySQL, PostgreSQL databases and Excel, CSV files
  • Visualization of selected data in the most appropriate and readable form
  • Possibility to create relationships between data
  • Saving created reports
  • Analyses generated on the basis of customer behavior allow you to predict their future steps in order to adopt appropriate strategies.
  • Forecasting sales leads allows you to predict profits/losses and allows you to choose the right starting position for business talks.

  • Monitoring sales at specific points using data from cash registers and POS systems deepens business knowledge about specific regions and allows you to take appropriate steps
  • Forecasting sales in different time horizons allows you to increase profits and also notice trends, seasonal effects or holiday effects based on historical data.
  • Analyzing advertising campaigns allows you to predict and evaluate their effectiveness and indirectly give an opinion about the employees responsible for their implementation
  • Assessing customer sentiment based on comments, opinions or ratings posted on websites allows you to take appropriate steps to increase sales or maintain a certain trend