Intelligent and Dynamic CPQ Shortlist Vendor Selection Framework Using AHP-TOPSIS.
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| 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] |
| Copyright of IAENG International Journal of Computer Science is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 195088886 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Intelligent and Dynamic CPQ Shortlist Vendor Selection Framework Using AHP-TOPSIS. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ghazi%2C+Youness%22">Ghazi, Youness</searchLink><relatesTo>1</relatesTo><i> youness.ghazi.doc@uhp.ac.ma</i><br /><searchLink fieldCode="AR" term="%22Arhid%2C+Khadija%22">Arhid, Khadija</searchLink><relatesTo>2</relatesTo><i> k.arhid@uca.ac.ma</i><br /><searchLink fieldCode="AR" term="%22Gadi%2C+Taoufiq%22">Gadi, Taoufiq</searchLink><relatesTo>3</relatesTo><i> taoufiq.gadi@uhp.ac.ma</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IAENG+International+Journal+of+Computer+Science%22">IAENG International Journal of Computer Science</searchLink>. Jul2026, Vol. 53 Issue 7, p2558-2574. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Analytic+hierarchy+process%22">Analytic hierarchy process</searchLink><br /><searchLink fieldCode="DE" term="%22TOPSIS+method%22">TOPSIS method</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+support+systems%22">Decision support systems</searchLink><br /><searchLink fieldCode="DE" term="%22Business+process+management%22">Business process management</searchLink><br /><searchLink fieldCode="DE" term="%22Salesforce+automation%22">Salesforce automation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IAENG International Journal of Computer Science is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 2558 Subjects: – SubjectFull: Analytic hierarchy process Type: general – SubjectFull: TOPSIS method Type: general – SubjectFull: Decision support systems Type: general – SubjectFull: Business process management Type: general – SubjectFull: Salesforce automation Type: general Titles: – TitleFull: Intelligent and Dynamic CPQ Shortlist Vendor Selection Framework Using AHP-TOPSIS. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ghazi, Youness – PersonEntity: Name: NameFull: Arhid, Khadija – PersonEntity: Name: NameFull: Gadi, Taoufiq IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1819656X Numbering: – Type: volume Value: 53 – Type: issue Value: 7 Titles: – TitleFull: IAENG International Journal of Computer Science Type: main |
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