AI and Consumer Behavior : Understanding Decision-Making Through Cognitive and Social Science Lenses

Consumer behavior  and AI operates as an essential study through which researchers apply cognitive and social science theories to analyze complex consumer decision-making behaviors. This research examines how people make their decisions together with cognitive biases’ impact along with social contacts’ impact and cultural standards and emotional reactions. The main goal aims to study decision-making through analysis that uses social science and cognitive psychology theories to create a complete understanding of consumer choices. Consumer decisions get influenced through mental processes that include perception together with memory functions and decision-making heuristics which cognitive science perspectives study. People usually make purchasing choices by using quick mental solutions but these strategies can produce incorrect or illogical outcomes. From a social science perspective the manner in which individuals form their behavior comes from outside elements such as group influence together with cultural norms and societal pressure. Social factors have dual effects on consumers because they impact consumer perception as well as their purchasing reasons. The research combines marketing principles with sociological knowledge to examine how various behavioral factors network to influence consumer decision making. The comprehension of these mechanisms enables marketers along with businesses and policymakers to develop superior approaches that serve customer requirements. The research findings built through this study will expand knowledge about consumer choices which marketers can utilize for developing better marketing plans and new advertising methods and product creations. Through multidisciplinary research approaches researchers achieve better understanding of consumer decisions because they gain advanced insights into Consumer behavior  and AI patterns.