- Zomato, Swiggy, Statistical analysis techniques, descriptive statistics
Abstract
This study presents a comparative analysis of consumer preferences between two leading online food delivery platforms, Zomato and Swiggy. In an era marked by the rapid expansion of e-commerce and the increasing popularity of online food delivery services, understanding consumer behavior and preferences is crucial for businesses to remain competitive. Through a survey-based approach, data was collected from a diverse sample of consumers, encompassing various demographics and geographic locations. The study investigates user demographics, usage patterns, satisfaction levels, preferences, and factors influencing the choice between Zomato and Swiggy. Statistical analysis techniques, including descriptive statistics and correlation analysis, were employed to analyze the data and identify patterns and trends. The findings reveal insights into user satisfaction with different aspects of the platforms, such as user interface, delivery time, food quality, and customer service. Furthermore, the study examines the factors influencing consumers' decisions, such as pricing, promotions, restaurant selection, delivery reliability, and app features. A comparative analysis between Zomato and Swiggy provides valuable insights into the strengths and weaknesses of each platform, aiding in strategic decision-making and service enhancement. The implications of this study extend to both Zomato and Swiggy, as well as other stakeholders in the online food delivery market, offering actionable insights to improve customer satisfaction and gain a competitive edge.