Personal Digital Assistant for Online Purchase of Premium Segment Clothing

In the modern era of digitalization and technological advancements, retail is undergoing significant changes, and one of the key innovations is the use of personal digital assistants (PDAs). PDAs substantially enhance customer interaction with brands, offering a personalized approach to each buyer. This work is dedicated to the theoretical and practical aspects of creating PDAs and studying their impact on online commerce, especially in the premium clothing segment. The relevance of the topic is driven by the rapid growth of online shopping and the high competition among premium segment brands. Buyers in this category have high demands for the quality of goods and service levels, making the implementation of PDAs not only beneficial but also necessary to maintain market competitiveness. The company "X" was used as an example for integration and interaction. Implementing PDAs in company "X" will enhance service personalization, improve service quality, and increase customer loyalty. The aim of this work is to design, prototype, and evaluate the effectiveness of PDAs in the process of online shopping for premium-class clothing to improve customer experience and increase recommendation accuracy. To achieve this goal, the following tasks were formulated: Study the theoretical and practical foundations of creating PDAs. Analyze the premium segment online clothing shopping industry. Formulate requirements for PDAs. Design PDAs. Describe the recommendation system algorithm. Design the database. Create and test a PDA prototype. Define metrics for evaluating the effectiveness of PDA implementation. The object of the study is the process of online shopping in the premium clothing segment, and the subject is the implementation of PDAs in this process. The work consists of three chapters. The first chapter examines the theoretical and practical foundations of creating PDAs and analyzes the subject area. It describes the main functions and advantages of PDAs, modern technologies for their creation, and examples of successful PDA implementations in premium segment online clothing commerce. Current trends and features of online shopping in this segment are also analyzed. The second chapter is dedicated to designing the PDA information system. It considers the informational and technological layers of the system, formalizes functional requirements, and describes the recommendation system algorithm. Special attention is paid to database design and the interaction of various system components. The goal is to create an architecture that ensures the efficient and reliable functioning of PDAs. The third chapter includes the creation of the first application prototype, its testing, and the analysis of the obtained results. A "To Be" Customer Journey Map (CJM) is developed, illustrating the anticipated changes in the customer journey after PDA implementation. The methodological basis of the work includes the use of literary sources, online resources, and internal company documents, as well as quantitative and qualitative analysis methods. In conclusion, the work summarizes the research tasks, evaluates the impact of PDAs on the premium-class online clothing shopping process, and offers recommendations for further product development. Both optimistic and pessimistic scenarios are considered. The work contains 55 pages, 17 figures, and 4 tables.