Rundong Wang¹, Lin Yang¹ and Patrick Le², ¹USA, ²California State Polytechnic University, USA

The dropshipping industry presents significant challenges for entrepreneurs, particularly in product selection, website creation, and overall management of their online stores [1]. The sheer volume of products available, fierce competition, and the complexities of inventory management and customer service can be overwhelming for newcomers [2][3]. To address these issues, we propose a unique, AI-powered dropshipping platform that not only automates and optimizes essential aspects of running a dropshipping business but also offers a feature that distinguishes it from others: personalized website generation [4]. Our platform uses cutting-edge technologies such as artificial intelligence, machine learning, and data analytics to streamline operations and increase efficiency. It comprises essential components, including data acquisition via sophisticated web scraping techniques, AI analytics that use machine learning algorithms and mathematical formulas for data analysis and product performance prediction, and user interface generation, focusing on creating a user-friendly interface for straightforward navigation and informed decision-making [6]. What sets our platform apart is its ability to generate personalized websites based on the user's chosen items to dropship. This unique feature enhances advertising capabilities by offering a tailored online presence that displays selected products in an engaging and persuasive way. These generated websites are visually appealing, user-friendly, and SEO-optimized for maximum exposure, enabling better engagement with the target audience, increasing conversions, and driving sales [5]. Our AI-powered dropshipping platform is more than a tool; it's a comprehensive solution that allows dropshippers to efficiently manage their business, from product selection to website creation and advertising [7]. By enabling entrepreneurs to focus more on marketing and customer relationships, it contributes to increased efficiency and higher success rates. It satisfies the growing demand for personalized online experiences, empowering dropshippers to tailor their online stores to their specific niche or target market, thereby enhancing their branding in a highly competitive e-commerce landscape. In conclusion, our platform provides an effective solution to the challenges faced by dropshipping entrepreneurs. Its unique website generation feature, along with accurate product selection, scalability, and user-friendly interface, contribute to improved profitability, customer satisfaction, and long-term growth in the competitive drop shipping industry. The integrated approach of our solution eliminates the need for dropshippers to rely on multiple tools, thereby simplifying operations and reducing complexity, ultimately enhancing their success.

Automation, Artificial intelligence, Web scraping, User interface design/generation