In today’s competitive consumer electronics market, selecting an optimal smartphone involves evaluating multiple conflicting criteria, such as price, performance, and features. This paper presents a structured decision-making approach using the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method to rank and select the most suitable smartphone among several alternatives. Five key criteria—price, battery life, camera quality, storage capacity, and weight—were identified and weighted based on their relevance to user preferences. The decision matrix was normalized, weighted, and analyzed to determine the ideal and anti-ideal solutions. The analysis revealed that Smartphone D was the most preferred option, having the highest closeness coefficient, thereby demonstrating its relative superiority. The results validate the effectiveness of TOPSIS in facilitating transparent and rational decision-making in complex multi-criteria environments. This research highlights the practical utility of TOPSIS in consumer product evaluation and paves the way for its application in broader decision-support systems.