The Consumption Behaviour Patterns of Consumers 60 + in the Aspect of Purchasing a Selected Technological Product: Comparative Empirical Research in Poland and Slovenia Krzysztof Najman, Kamila Migdał-Najman and Sylwia Badowska Abstract The paper presents a proposal to identify and analyse consumer purchase behaviour patterns using self-learning GNG neural networks. The employed method is a highly effective tool for analysing multidimensional data sets and e.g. examining purchase patterns. The results suggest that three specific consumer patterns of purchase behaviour exist among the Polish and Slovenian respondents. The findings deepen the knowledge concerning the purchasing behaviour of consumers at the age of 60 +. Parallely, they may be used in shaping international marketing strategies for this consumer group. Krzysztof Najman University of Gdansk, Faculty of Management, Department of Statistics, 81-824 Sopot, ul. Armii Krajowej 101, Poland krzysztof.najman@ug.edu.pl Kamila Migdał-Najman University of Gdansk, Faculty of Management, Department of Statistics, 81-824 Sopot, ul. Armii Krajowej 101, Poland kamila.migdal-najman@ug.edu.pl Sylwia Badowska University of Gdansk, Faculty of Management, Department of Marketing, 81-824 Sopot, ul. Armii Krajowej 101, Poland sylwia.badowska@ug.edu.pl Archives of Data Science, Series A (Online First) DOI 10.5445/KSP/1000085951/05 KIT Scientific Publishing ISSN 2363-9881 Vol. 4, No. 1, 2018