EconPapers    
Economics at your fingertips  
 

Using Artificial intelligence to select the optimal E-CRM Based business needs

Fadi Amroush (), Alkhoder Baderddeen and Talal Yusef

MPRA Paper from University Library of Munich, Germany

Abstract: CRM has become one of the most leading business strategies in the new millennium. There is a verity of software solutions that impalement CRM principles including free and property ones. The aim of this research is to design and implement an evaluation model to help companies in choosing the best CRM based on their business needs using artificial intelligence techniques. The evaluation model uses an AI system that can help to specify the workflows and needs of the people, who want to buy a CRM-system, e.g. to support the RFP-process, in addition to determine a model for evaluation, and after building it he can send it to vendors to get their feedback and may be will do so matching algorithm to choose the best match. Decision making system choose the optimal solution based on business needs which is provided by RFP templates.

Keywords: CRM; information technology; marketing (search for similar items in EconPapers)
JEL-codes: C52 G11 L86 M31 (search for similar items in EconPapers)
Date: 2008-11-02
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/25758/1/MPRA_paper_25758.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:25758

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2025-03-19
Handle: RePEc:pra:mprapa:25758