AI-DRIVEN PERSONALIZATION IN RETAIL ANALYTICS: TRANSFORMING CUSTOMER EXPERIENCES
Keywords:
AI-Driven Personalization, Retail Analytics, Customer Experience Enhancement, Implementation Strategies, Operational EfficiencyAbstract
This article examines the transformative impact of artificial intelligence and advanced data analytics in the retail industry, focusing on personalization, operational efficiency, and customer experience enhancement. The article analyzes how retailers leverage AI technologies, including machine learning algorithms, computer vision systems, and natural language processing, to create individualized shopping experiences and optimize operations. The article covers implementation strategies, technological approaches, operational impacts, and best practices while addressing key challenges and considerations in AI adoption. Through a comprehensive analysis of market research and industry studies, this article demonstrates the significant role of AI-driven personalization in revolutionizing retail operations, improving customer engagement, and driving business growth while highlighting the importance of structured implementation approaches and robust data management practices.
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