Consumer Behavior and Statistical Analysis of Home-Cooked Meal Delivery Services: Insights and Trends

The fast growth of technology, along with a rising need for quick meal alternatives, has resulted in the rise of home-cooked food delivery applications. These platforms have dramatically revolutionized the food business by providing consumers with healthier, more personalized, and home-style meal options in contrast to traditional restaurant-based delivery services. As more people seek nutritious and customizable meal options, organizations in the food delivery industry must understand the critical elements that drive customer uptake and probability of recommending these services. The purpose of this study is to investigate these influential elements using a rigorous statistical analysis. The study looks at how demographic characteristics including gender, employment, and residential area affect customer behavior towards home-cooked meal delivery apps. Furthermore, customer preferences, such as ordering frequency, interest in home-cooked meal services, and awareness of current home-cooked food delivery platforms, are examined to better understand their roles in determining consumer decisions. The study's findings give in-depth insights into consumer behavior patterns, exposing the underlying reasons and challenges to the adoption of home-cooked meal delivery services. These insights are crucial for companies looking to improve their service offerings and marketing tactics. Businesses may improve customer interaction, personalize their products, and target the relevant audience groups by using data- driven strategies, eventually increasing growth and consumer happiness in the ever-changing world of food delivery services. Keywords: Home-cooked food delivery, Customer behavior, Consumer decisions