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Building an Intelligent Pricing Engine with Salesforce

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  • Deepika Bandella

Abstract

The integration of Salesforce's Configure, Price, Quote (CPQ), Tableau analytics, and Einstein AI capabilities has revolutionized pricing optimization strategies across industries. This transformation enables organizations to shift from traditional static pricing models to dynamic, data-driven frameworks that respond to market changes in real-time. Through automated systems and machine learning algorithms, businesses have enhanced their ability to capture market demand fluctuations, improve quote generation accuracy, and optimize revenue streams. The implementation of these technologies has demonstrated significant improvements in operational efficiency, market responsiveness, and profitability across various sectors including manufacturing, retail, and financial services. Advanced pricing intelligence systems have proven particularly effective in complex business environments, enabling organizations to maintain competitive advantages while ensuring pricing consistency across multiple channels. The combination of robust data collection, AI-powered analysis, and automated execution has created a comprehensive ecosystem that addresses fundamental pricing challenges while delivering sustainable business value through improved decision-making capabilities and enhanced customer satisfaction.

Suggested Citation

  • Deepika Bandella, 2025. "Building an Intelligent Pricing Engine with Salesforce," International Journal of Computing and Engineering, CARI Journals Limited, vol. 7(16), pages 24-32.
    • Handle: RePEc:bhx:ojijce:v:7:y:2025:i:16:p:24-32:id:3015
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    File URL: https://carijournals.org/journals/index.php/IJCE/article/view/3015
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