AI-Based Decisive Model for Customer Segmentation in Fashion Industry

The integration of AI into the fashion business has revolutionized traditional approaches, offering several benefits to the industry. Predictive analytics and computer vision tools are utilized to recognize the attributes of the product. AI's growing presence in the fashion sector is particularly evident in its analysis of search patterns and offering product recommendations tailored to consumer tastes. Utilizing artificial intelligence to examine user search history enhances the relevance of future results, factoring in criteria such as brand, color, size, current fashion trends, and price. In this study, our main aim is to develop an AI-based system that will support a recommender system in a website. This will eventually help us to boost sales. Moreover, the effectiveness of this model extends to accuracy, given its reliance on Fuzzy Logic. There is also a strategy to segregate premium customer data into the private Cloud and regular customer data into the public cloud, enhancing security with the robust features provided by the private Cloud. To manage costs efficiently, a preferred solution is the implementation of a hybrid cloud-based model.