The BASKET ANALYZER is a desktop application written in Java, making it platform independent. The graphical user interface makes it easy and intuitive to operate.
In addition to being able to make all settings in functional menus, the wizard makes it easy to configure and perform analyses quickly.
Data import
The shopping basket data to be processed can be imported from structured text files or relational databases using JDBC. The BASKET ANALYZER is also configurable so that shopping basket data can be directly evaluated without the need for preprocessing.
Analytical functions
There are three different variations of shopping basket analysis implemented into the BASKET ANALYZER:
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Association analysis
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Sequence analysis
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Sequential basket analysis
Sequence analysis methods can also be combined with methods of dynamic programming to solve the Bellman equation, in order to optimise the entire demand chain.
The implemented algorithms are unique throughout the world in terms of speed and can analyse hundreds of thousands of transactions within a few minutes.
The algorithms are controlled using various parameters and it is also possible to have automatic parameter settings.
Results and export
The results of the last analysis can be displayed as an HTML table and printed in this form.
The results can also be saved as formatted text files, structured text files and HTML files. In addition, it is also possible to export the results as a PMML file. That means that the PMML file, for example, can be imported from the PDM library and then used as a recommendation engine.
