Optimizing Fashion and Textile Marketing Through AI-Powered Content Generation and English Language Personalization for International Branding

Abstract The global fashion and textile industry is experiencing a fundamental change through the application of artificial intelligence (AI) in marketing and content creation. The objective of this research paper is to study how the generation of AI-based content and the personalization of English language affect international branding strategies in the fashion and textile industries. By tapping into AI-powered technologies, brands can better interact with their customers, preserve a consistent image, and create specific content for different languages and cultures. Critical applications of AI, like natural language processing (NLP), machine learning algorithms, and automated content curation, are studied in the research paper as well, along with their success in achieving improved brand perceptions and the trust of consumers. Additionally, the report stresses how English language personalization acts as a conduit for various messages through cross-border channels preserving a global presence together with a local touch. Through investigating a variety of case studies and trends across the industry this paper offers actual evidence from real-life cases showing both the opportunities and challenges AI-driven marketing holds in the global fashion and textile sector going forward. The results indicate that AI-enabled personalization paves the way for higher engagement rates, facilitates more robust international brand identities, and boosts competitive advantage.