COMMERCE OF ENGINEERING DECISIONS Statistical Analysis of Milk Products Consumers ’ Behaviour

At the turn of the economy changes (Lithuania rap-idly integrating western civilization) new, individual cus-tomers ’ behaviour model is forming. Referring to scientific research methods, we can understand and forecast cus-tomer behaviour, to clarify relation of cause and effect and, having identified customer needs, to produce such product which would meet the needs of current customers and would attract new ones. Understanding of customer and his purchasing process helps to make specific deci-sions in organising sales, to understand and forecast the priorities of the customer in purchasing process and along with this to increase business opportunities. Because cus-tomer behaviour is a constituent of human behaviour, it is difficult to forecast. Therefore enterprises have periodi-cally to carry out the analysis of customer behaviour, al-lowing understating customer deeds and forecast their future behaviour. In the paper the level of milk and its product consump-tion in Lithuania and consumption tendencies are high-lighted. When carrying this research the methods of com-plex statistic information collection were used: respon-dents survey, official statistics data analysis, direct obser-vation of passives, the interview of an informal character. Collected information is analysed and interpreted, causal relations of statistic research structure elements are pre-sented. When carrying out this research, the representative selective analysis (when by special techniques from gen-eral set its part which makes sample, and later with the help of statistical methods it is reasonably applied to entire citizens population), was used. By this method it is defined whether provided services have satisfied expectations and met needs. Only fully satisfied customers can become loyal customers of enterprises