The Evolution of AI-Powered Quote-to-Cash: Transforming business operations

Majeti, Venkata Sunil Kumar (2025) The Evolution of AI-Powered Quote-to-Cash: Transforming business operations. World Journal of Advanced Engineering Technology and Sciences, 15 (3). pp. 1138-1143. ISSN 2582-8266

The integration of artificial intelligence in Quote-to-Cash (Q2C) processes has revolutionized how businesses manage their revenue operations. This technical article explores the transformative impact of AI across various aspects of Q2C, including customer relationship management, contract review systems, and document processing automation. The implementation of AI-driven solutions has demonstrated significant improvements in operational efficiency, compliance management, and customer satisfaction. Advanced technologies such as natural language processing, machine learning, and optical character recognition have enabled organizations to streamline their processes, reduce manual intervention, and enhance decision-making capabilities. The adoption of these technologies across different industries has led to improved business outcomes and competitive advantages in the global market. The convergence of these AI technologies with traditional business processes has created new opportunities for innovation, particularly in areas such as predictive analytics, automated risk assessment, and intelligent document processing, enabling organizations to achieve unprecedented levels of operational excellence and customer service delivery while maintaining robust compliance standards.