This paper discusses user behavior and preferences while using cloud kitchen-based delivery apps such as the analyses of demographic profiles, customer happiness, convenience, data analytics, personalization, and the potential incorporation of artificial intelligence (AI) technologies. From a demographics perspective, the users consist of programmers and technical engineers who are young adults, aged between 20 to 30 years. The analyzed data also shows a significant gender imbalance, with men, as the majority of users. It shows that most users are married, indicating that these apps successfully meet the convenience requirements of families. Furthermore, many users hold undergraduate degrees, indicating that this educated group has a high degree of technology literacy. Regarding usage frequency, most users use the apps for occasional meals, with a smaller group classified as frequent users. Analyzing user engagement patterns can assist in the development of effective strategies, such as offering targeted promotions, enhancing user retention, and implementing personalization features to enrich the experience for frequent users. Even though most users are happy using apps to order food, there is potential for improvement in terms of usability, as some users may find them less convenient. This problem might be resolved by implementing multilingual user interfaces, which would make the applications more user-friendly and inclusive. Regarding data analytics and personalization, users expressed a desire for personalized features, such as predictive data analytics, to enhance their experience. However, they are worried about sharing personal data for customization, indicating their concerns about data security. The incorporation of artificial intelligence features, such as chatbots, holds significant promise. The data highlights the potential benefits of integrating AI, especially chatbots, to heighten user satisfaction.
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