Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  ANALYSIS OF EFFECTIVE PREDICTION MODEL OF CRM AND CUSTOMERS BY USING ARTIFICIAL INTELLIGENCE
PaperId: :  22065
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 6 2023
DUI:    16.0415/IJARIIE-22065
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Kumar AbhishekSchool of Information Technology, ISBM University, Chhattisgarh, India 493996
Dr Diwakar TripathiSchool of Information Technology, ISBM University, Chhattisgarh, India 493996
Dr Ashish Tamrakar School of Information Technology, ISBM University, Chhattisgarh, India 493996

Abstract

CSE
Artificial Intelligence, Customer Relationship Management, Integration Challenges, CRM Processes, Organizational Effectiveness
promising avenue for enhancing organizational effectiveness. However, this process is marked by unique challenges and complexities inherent in CRM processes, posing difficulties for both academics and practitioners in understanding the organizational and managerial elements crucial for successful AI-CRM integration. This study aims to bridge this knowledge gap by identifying and categorizing the challenges that businesses encounter throughout the phases of AI integration in a CRM context, from initial discovery to the final sustain phase. Given the multifaceted nature of AI-CRM integration, which encompasses expertise in artificial intelligence, customer relationship management, data science, and business management, our research employs a qualitative approach involving interviews with various stakeholders, including managers, consultants, and specialists across these domains. This method ensures a diverse range of insights into the challenges and opportunities associated with AI-CRM integration. The study identifies eleven specific challenges related to AI-powered CRM, emphasizing a temporal division of these challenges across the four phases of AI implementation. Additionally, the research provides practical guidelines for effectively addressing these challenges, offering valuable insights for organizations seeking to navigate the complexities of AI-CRM integration successfully. The findings contribute empirically to our understanding of AI-CRM integration, offering a long-term perspective on leveraging AI for customer relationships. This research serves as a foundational resource for exploring the requisite activities and capabilities needed to overcome the challenges associated with AI-CRM integration. The guidelines developed in this study provide essential questions and considerations for managers embarking on the journey of integrating AI into CRM processes, facilitating a more informed and strategic approach to this transformative endeavor.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Kumar Abhishek, Dr Diwakar Tripathi, and Dr Ashish Tamrakar . "ANALYSIS OF EFFECTIVE PREDICTION MODEL OF CRM AND CUSTOMERS BY USING ARTIFICIAL INTELLIGENCE" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 6 2023 Page 764-774
MLA Kumar Abhishek, Dr Diwakar Tripathi, and Dr Ashish Tamrakar . "ANALYSIS OF EFFECTIVE PREDICTION MODEL OF CRM AND CUSTOMERS BY USING ARTIFICIAL INTELLIGENCE." International Journal Of Advance Research And Innovative Ideas In Education 9.6(2023) : 764-774.
APA Kumar Abhishek, Dr Diwakar Tripathi, & Dr Ashish Tamrakar . (2023). ANALYSIS OF EFFECTIVE PREDICTION MODEL OF CRM AND CUSTOMERS BY USING ARTIFICIAL INTELLIGENCE. International Journal Of Advance Research And Innovative Ideas In Education, 9(6), 764-774.
Chicago Kumar Abhishek, Dr Diwakar Tripathi, and Dr Ashish Tamrakar . "ANALYSIS OF EFFECTIVE PREDICTION MODEL OF CRM AND CUSTOMERS BY USING ARTIFICIAL INTELLIGENCE." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 6 (2023) : 764-774.
Oxford Kumar Abhishek, Dr Diwakar Tripathi, and Dr Ashish Tamrakar . 'ANALYSIS OF EFFECTIVE PREDICTION MODEL OF CRM AND CUSTOMERS BY USING ARTIFICIAL INTELLIGENCE', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 6, 2023, p. 764-774. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/ANALYSIS_OF_EFFECTIVE_PREDICTION_MODEL_OF_CRM_AND_CUSTOMERS_BY_USING_ARTIFICIAL_INTELLIGENCE_ijariie22065.pdf (Accessed : 31 May 2025).
Harvard Kumar Abhishek, Dr Diwakar Tripathi, and Dr Ashish Tamrakar . (2023) 'ANALYSIS OF EFFECTIVE PREDICTION MODEL OF CRM AND CUSTOMERS BY USING ARTIFICIAL INTELLIGENCE', International Journal Of Advance Research And Innovative Ideas In Education, 9(6), pp. 764-774IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/ANALYSIS_OF_EFFECTIVE_PREDICTION_MODEL_OF_CRM_AND_CUSTOMERS_BY_USING_ARTIFICIAL_INTELLIGENCE_ijariie22065.pdf (Accessed : 31 May 2025)
IEEE Kumar Abhishek, Dr Diwakar Tripathi, and Dr Ashish Tamrakar , "ANALYSIS OF EFFECTIVE PREDICTION MODEL OF CRM AND CUSTOMERS BY USING ARTIFICIAL INTELLIGENCE," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 6, pp. 764-774, Nov-Dec 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/ANALYSIS_OF_EFFECTIVE_PREDICTION_MODEL_OF_CRM_AND_CUSTOMERS_BY_USING_ARTIFICIAL_INTELLIGENCE_ijariie22065.pdf [Accessed : 31 May 2025].
Turabian Kumar Abhishek, Dr Diwakar Tripathi, and Dr Ashish Tamrakar . "ANALYSIS OF EFFECTIVE PREDICTION MODEL OF CRM AND CUSTOMERS BY USING ARTIFICIAL INTELLIGENCE." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 6 (31 May 2025).
Vancouver Kumar Abhishek, Dr Diwakar Tripathi, and Dr Ashish Tamrakar . ANALYSIS OF EFFECTIVE PREDICTION MODEL OF CRM AND CUSTOMERS BY USING ARTIFICIAL INTELLIGENCE. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 31 May 2025]; 9(6) : 764-774. Available from: https://ijariie.com/AdminUploadPdf/ANALYSIS_OF_EFFECTIVE_PREDICTION_MODEL_OF_CRM_AND_CUSTOMERS_BY_USING_ARTIFICIAL_INTELLIGENCE_ijariie22065.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 5/31/2025 1:48:58 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Leveraging AWS for Developing and Hosting a Dynamic Food Ordering Web ApplicationComputer EngineeringAfshin Khanam Download
Edge-to-Cloud Synergy: An Autoencoder-GAN Framework for Anomaly Detection in Healthcare Records, Financial Statements, and Secure Cloud StorageInformation TechnologyKarthik Kushala Download
E-Commerce Fraud Detection Based on Machine Learning TechniquesComputer Science EngneeringVikram Ankush Ade Download
Detection of Phishing Website Using Gradient Boosting AlgorithmComputer Science and EngineeringYAWALKAR PRASAD PRAMOD Download
Property Dealing WebComputer Science EngineeringYash Chaudhari Download
Reinforcement Learning for the Evolution of Antimicrobial Nano formulationsmachine learningMadhusudan Download
SecuraVault: A secured blockchain based cloud storage systemComputer Engineering Anshika Jaiswal Download
Autoimmune Disease Detection in women Using Machine Learning Approachcomputer science EngineeringJ. L. V. S. Download
Medicine Overdose Detection System Using Machine LearningComputer Science EngineeringDr.Somashekhar B M Download
Home Price Prediction Using Machine LearningComputer Science & Engineering G Tushar Download
Heat diseases prediction using machine learningComputer EngineeringProf. Meghashree M B Download
GRIDSHIELD AIComputer EngineeringDr. Archana B Download
Diabetic Retinopathy Detection with AI InsightsComputer EngineeringJay Mahesh Gurav Download
Personalized Fitness Segmentation with Actionable InsightsMachine LearningAnju Tiwari Download
Sentiment-Based Machine Learning Approach for Mapping Citizen ProblemsComputer science and EngineeringDr. Madhu B K Download
12