Proposal and Benchmark-Based Assessment of a Configure-Price-Quote Process Optimization Framework for Manufacturing Enterprises Using Oracle CPQ

Rajesh Soma

doi:10.48084/etasr.18471

Authors

Rajesh Soma Independent Researcher, USA

Volume: 16 | Issue: 3 | Pages: 35652-35659 | June 2026 | https://doi.org/10.48084/etasr.18471

Received: 2 March 2026 | Revised: 4 April 2026 | Accepted: 17 April 2026 | Online: 6 June 2026

Corresponding author: Rajesh Soma

Abstract

Manufacturing enterprises operating in Engineer-to-Order (ETO) and Configure-to-Order (CTO) environments face persistent challenges managing complex product configurations, multi-tiered pricing, and lengthy quoting processes. This study presents two original contributions. First, it proposes the Oracle CPQ Optimization Framework (OCOF), a six-component structured deployment model for Oracle Configure-Price-Quote (CPQ) in manufacturing enterprises, derived through a three-phase methodology comprising systematic literature synthesis, framework construction, and structured design evaluation. Second, it provides a benchmark-based evaluation using metrics from peer-reviewed and industry studies. Framework evaluation utilizing an eight-criterion design rubric derived from Critical Success Factor (CSF) literature demonstrates strong theoretical grounding, implementability, measurability, and dependency logic coherence across all six components. Benchmark evidence from peer-reviewed and industry sources indicates that structured CPQ optimization can achieve quote cycle time reductions of 33%, error rate reductions from 10–25% to near-zero, and sales productivity gains of up to 49%, consistent with performance improvements documented in enterprise system deployment literature. OCOF is compared against three established enterprise technology deployment frameworks, indicating superior specificity for manufacturing CPQ contexts.

Keywords:

Oracle CPQ, configure-price-quote, manufacturing automation, engineer-to-order, ERP integration, deployment framework, artificial intelligence, intelligent pricing

References

Aberdeen Group, Inc, How CPQ Drives Sales Productivity and Margin Performance, Boston, MA, USA: Aberdeen Group, Inc, 2023.

A. Haug, S. Shafiee, and L. Hvam, "The Costs and Benefits of Product Configuration Projects in Engineer-to-Order Companies," Computers in Industry, vol. 105, pp. 133–142, Feb. 2019.

T. H. Davenport, Putting the Enterprise into the Enterprise System. Brighton, MA, USA: Harvard Business Review, 1998.

"Configure, Price, and Quote (CPQ) Software Market Scope," Technavio, Sep. 2023. https://www.prnewswire.com/news-releases/configure-price-and-quote-cpq-software-market-to-grow-by-usd-3-18-billion-between-2022---2027--growth-driven-by-increasing-need-for-higher-productivity---technavio-301939228.html.

"Gartner Magic Quadrant for Configure, Price and Quote Applications," Gartner, Jan. 2025. https://www.gartner.com/en/documents/6102427.

E. J. Umble, R. R. Haft, and M. M. Umble, "Enterprise Resource Planning: Implementation Procedures and Critical Success Factors," European Journal of Operational Research, vol. 146, no. 2, pp. 241–257, Apr. 2003.

F. Fui‐Hoon Nah, J. Lee‐Shang Lau, and J. Kuang, "Critical Factors for Successful Implementation of Enterprise Systems," Business Process Management Journal, vol. 7, no. 3, pp. 285–296, Aug. 2001.

C. J. Su, "Mobile Multi-Agent Based, Distributed Information Platform (MADIP) for Wide-Area E-Health Monitoring," Computers in Industry, vol. 59, no. 1, pp. 55–68, Jan. 2008.

"Oracle Configure, Price, Quote - Product Documentation and Integration Guide," Oracle Cloud Documentation, 2025. https://docs.oracle.com/en/cloud/saas/configure-price-quote/.

M. S. Abdel-Haq, H. Chatti, and E. Asfoura, "Investigating the Success and the Advantages of Using ERP System in KSA Context," Engineering, Technology & Applied Science Research, vol. 8, no. 6, pp. 3631–3639, Dec. 2018.

"CPQ at Scale: From Benchmarking to Breakthroughs - Performance Benchmarking Study," CRMantra, Oct. 2025. https://crmantra.com/cpq-at-scale-from-benchmarking-to-breakthroughs/.

W. H. DeLone and E. R. McLean, "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, vol. 3, no. 1, pp. 60–95, Mar. 1992.

L. G. Tornatzky, M. Fleischer, and A. K. Chakrabarti, The Processes of Technological Innovation. Toronto, Canada: Lexington Books, 1990.

J. F. Rockart, Chief Executives Define Their Own Data Needs. Brighton, MA, USA: Harvard Business Review, 1979.

F. D. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology," MIS Quarterly, vol. 13, no. 3, pp. 319–340, Sep. 1989.

R. Soma, S. K. Sahoo, F. Amin, and S. K. Mishra, "A Federated Learning Framework for Multi-Parameter Optimization in Edge Computing," in 13th International Conference on Intelligent Systems and Embedded Design, Raipur, India, Dec. 2025, pp. 1–6.

Z. T. Butarbutar, P. W. Handayani, R. R. Suryono, and W. S. Wibowo, "Systematic Literature Review of Critical Success Factors on Enterprise Resource Planning Post Implementation," Cogent Business & Management, vol. 10, no. 3, Dec. 2023, Art. no. 2264001.

E. J. Martins and F. P. Belfo, "Major Concerns About Enterprise Resource Planning (ERP) Systems: A Systematic Review of a Decade of Research (2011-2021)," Procedia Computer Science, vol. 219, pp. 378–387, 2023.

D. Corsaro, I. Maggioni, and M. Olivieri, "Sales and Marketing Automation in the Post-Covid-19 Scenario: Value Drivers in B2B Relationships," Italian Journal of Marketing, vol. 2021, no. 4, pp. 371–392, Dec. 2021.

C. Kowalkowski, J. Wirtz, and M. Ehret, "Digital Service Innovation in B2B Markets," Journal of Service Management, vol. 35, no. 2, pp. 280–305, Mar. 2024.