Predictive Modeling for Dynamic Pricing in CPQ Tools: Machine Learning Approaches for Adaptive Price Optimization

Authors

  • Kishore Kumar Epuri

Keywords:

Dynamic Pricing Optimization, Machine Learning Algorithms, Configure-Price-Quote Systems, Predictive Model Implementation, Ethical Algorithmic Pricing

Abstract

This article presents a comprehensive exploration of predictive modeling techniques for dynamic pricingoptimization within Configure, Price, Quote (CPQ) systems. Beginning with an examination of the limitations inherent in static

References

Qi Zhang et al., "Optimization of Dynamic Pricing Models for Consumer Segmentation Markets and Analysis of Big Data-Driven Marketing Strategies," ResearchGate, 2025. [Online]. Available

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Published

2025-11-11

How to Cite

Kishore Kumar Epuri. (2025). Predictive Modeling for Dynamic Pricing in CPQ Tools: Machine Learning Approaches for Adaptive Price Optimization . Journal of Computational Analysis and Applications (JoCAAA), 34(11), 37–48. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4084

Issue

Vol. 34 No. 11 (2025): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.