National Institute of Technology - Warangal, India.
World Journal of Advanced Engineering Technology and Sciences, 2025, 15(03), 1138–1143
Article DOI: 10.30574/wjaets.2025.15.3.1002
Received on 29 April 2025; revised on 07 June 2025; accepted on 09 June 2025
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.
Quote-to-Cash Automation; Artificial Intelligence; Contract Review Systems; Document Processing; Customer Relationship Management
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Venkata Sunil Kumar Majeti. The Evolution of AI-Powered Quote-to-Cash: Transforming business operations. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(03), 1138-1143. Article DOI: 10.30574/wjaets.2025.15.3.1002