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

Amroush, Fadi; Baderddeen, Alkhoder and Yusef, Talal (2008): Using Artificial intelligence to select the optimal E-CRM Based business needs. Published in: International Engineering Sciences Conference IESC’08 No. 1st (02. November 0002)

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.

• Item Type: MPRA Paper
• Language: English
• Keywords: CRM, information technology, marketing,
• Subjects: M - Business Administration and Business Economics; Marketing; Accounting > M3 - Marketing and Advertising > M31 - Marketing; G - Financial Economics > G1 - General Financial Markets > G11 - Portfolio Choice; Investment Decisions; C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C52 - Model Evaluation and Selection; L - Industrial Organization > L8 - Industry Studies: Services > L86 - Information and Internet Services; Computer Software

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