Intelligent and Dynamic CPQ Shortlist Vendor Selection Framework Using AHP-TOPSIS.

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Bibliographic Details
Title:	Intelligent and Dynamic CPQ Shortlist Vendor Selection Framework Using AHP-TOPSIS.
Authors:	Ghazi, Youness¹ youness.ghazi.doc@uhp.ac.ma, Arhid, Khadija² k.arhid@uca.ac.ma, Gadi, Taoufiq³ taoufiq.gadi@uhp.ac.ma
Source:	IAENG International Journal of Computer Science. Jul2026, Vol. 53 Issue 7, p2558-2574. 17p.
Subjects:	Analytic hierarchy process, TOPSIS method, Decision support systems, Business process management, Salesforce automation
Abstract:	Configure, Price, Quote (CPQ) is a cloud-based solution enabling organisations to generate accurate quotations through an optimised quote-to-cash process, forming a critical component of revenue transformation strategies. Inadequate CPQ vendor selection carries significant consequences, including financial losses, project delays, and inefficient resource allocation. Despite the pivotal role CPQ platforms occupy in sales automation, most organisations lack systematic frameworks for aligning vendor capabilities with their operational requirements. This study presents a hierarchical decision support system for intelligent CPQ vendor shortlisting. The proposed framework comprises four analytical components: business profile analysis, technical architecture assessment, catalogue management evaluation, and quote management functionality. Selection criteria are derived from publicly available Gartner and G2 assessments and a custom-built prototype embedded within standardised Request for Information (RFI) protocols. The Analytic Hierarchy Process (AHP) weights the criteria, while the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) ranks vendors by functional suitability and technical compatibility. Five enterprise case studies -- spanning financial services, energy, telecommunications, manufacturing, and retail/e-commerce -- validate the framework's effectiveness in reducing selection cycle time and strengthening vendor-organisational alignment. The system equips organisations to efficiently generate qualified vendor shortlists, addressing a critical gap in enterprise software procurement methodologies. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	Configure, Price, Quote (CPQ) is a cloud-based solution enabling organisations to generate accurate quotations through an optimised quote-to-cash process, forming a critical component of revenue transformation strategies. Inadequate CPQ vendor selection carries significant consequences, including financial losses, project delays, and inefficient resource allocation. Despite the pivotal role CPQ platforms occupy in sales automation, most organisations lack systematic frameworks for aligning vendor capabilities with their operational requirements. This study presents a hierarchical decision support system for intelligent CPQ vendor shortlisting. The proposed framework comprises four analytical components: business profile analysis, technical architecture assessment, catalogue management evaluation, and quote management functionality. Selection criteria are derived from publicly available Gartner and G2 assessments and a custom-built prototype embedded within standardised Request for Information (RFI) protocols. The Analytic Hierarchy Process (AHP) weights the criteria, while the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) ranks vendors by functional suitability and technical compatibility. Five enterprise case studies -- spanning financial services, energy, telecommunications, manufacturing, and retail/e-commerce -- validate the framework's effectiveness in reducing selection cycle time and strengthening vendor-organisational alignment. The system equips organisations to efficiently generate qualified vendor shortlists, addressing a critical gap in enterprise software procurement methodologies. [ABSTRACT FROM AUTHOR]
ISSN:	1819656X