BS-1 AI-Driven Customer Behavior Prediction for Strategic Business Decisions.
SCURS Disciplines
Business
Document Type
Oral Presentation
Abstract
AI-Driven Customer Behavior is a process of understanding and predicting customer behavior to improve in the competitive business environment. Artificial Intelligence (AI) is one of the leading tools used for analyzing customer data, pattern matching, making purchasing decisions, predicting future trends, and maintaining data privacy. By Using deep learning, natural language processing, and machine learning algorithms, businesses can improve effective marketing campaigns, customer retention rate, and growth of the business. Artificial Intelligence predictive models enable organizations to set up customer feedback and customer interactions, which helps to find new ways to resolve their issues through the feedback of the customer. It can handle data-driven decisions easily and accurately with modern trends to site future outcomes in an efficient manner. The result of this research is to apply AI techniques to enhance business profitability by improving customer satisfaction and experience.
Keywords
Artificial intelligence, Data-driven decisions, deep learning, predicting future trends, data privacy, natural language processing, and machine learning
Start Date
11-4-2025 2:10 PM
Location
CASB 101
End Date
11-4-2025 2:25 PM
BS-1 AI-Driven Customer Behavior Prediction for Strategic Business Decisions.
CASB 101
AI-Driven Customer Behavior is a process of understanding and predicting customer behavior to improve in the competitive business environment. Artificial Intelligence (AI) is one of the leading tools used for analyzing customer data, pattern matching, making purchasing decisions, predicting future trends, and maintaining data privacy. By Using deep learning, natural language processing, and machine learning algorithms, businesses can improve effective marketing campaigns, customer retention rate, and growth of the business. Artificial Intelligence predictive models enable organizations to set up customer feedback and customer interactions, which helps to find new ways to resolve their issues through the feedback of the customer. It can handle data-driven decisions easily and accurately with modern trends to site future outcomes in an efficient manner. The result of this research is to apply AI techniques to enhance business profitability by improving customer satisfaction and experience.
