COMPREHENSIVE SURVEY OF EFFECTIVE PREDICTION MODEL OF CRM AND CUSTOMERS BY USING ARTIFICIAL INTELLIGENCE
Abstract & Details
Research Area
CSE
Keywords
AI-powered CRM
Customer Engagement
Predictive Modeling
Personalized Interactions
Ethical AI
Abstract
In the dynamic landscape of contemporary business, the fusion of Customer Relationship Management (CRM) with Artificial Intelligence (AI) has emerged as a transformative force, shaping the way organizations engage with their customers. This comprehensive survey delves into the realm of AI-powered prediction models designed to enhance CRM effectiveness and optimize customer interactions. The survey begins by highlighting the increasing importance of personalized customer engagement in today's data-driven business environment. It underscores the necessity of mastering personalized interactions at scale and introduces the solution— the integration of AI techniques into CRM systems. The projected growth of the generative AI market in CRM by 2032 further emphasizes the significance of this technological convergence.
Exploring the traditional importance of customer engagement in CRM, the survey elucidates how AI has revolutionized these interactions. Key transformations, including data-driven insights, efficiency and automation, and predictive modeling, are examined, showcasing AI not only as an enhancer of CRM power but also as an elevating force for customer engagement, leading to heightened customer satisfaction and improved business performance. The survey then meticulously dissects the benefits of AI-powered personalization at scale. It elucidates how AI refines product recommendations, increases conversion rates, reduces customer churn, and improves content discovery for customers. The discussion extends to cost savings, competitive advantages, higher return on investment (ROI), and enhanced customer loyalty, unveiling the substantial positive impacts AI integration has on businesses.
Ethical considerations in AI-powered personalization are also addressed, focusing on privacy concerns, biases and fairness, and the importance of transparency in CRM processes. The survey advocates for responsible AI practices to ensure ethical integrity in customer engagement strategies. Real-world examples of AI implementation in CRM are provided, featuring notable instances such as Salesforce's Einstein GPT, IBM Consulting's optimization of Bouygues Telecom's call center operations, and the success stories of businesses like Northrop & Johnson and Kantar, which harnessed AI to bolster CRM functionalities. In conclusion, the survey positions Appinventiv as a strategic implementation partner for businesses seeking to integrate AI functionalities into their CRM systems. With expertise in AI and CRM, Appinventiv offers tailored solutions that promise to transform customer engagement metrics, driving both satisfaction rates and return on investment.
License
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Kumar Abhishek | School of Information Technology, ISBM University, Chhattisgarh, India 493996 |
| 2 | Dr Diwakar Tripathi | School of Information Technology, ISBM University, Chhattisgarh, India 493996 |
| 3 | Dr Ashish Tamrakar | School of Information Technology, ISBM University, Chhattisgarh, India 493996 |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Abhishek, Kumar, Tripathi, Dr Diwakar, & Tamrakar, Dr Ashish (2023). COMPREHENSIVE SURVEY OF EFFECTIVE PREDICTION MODEL OF CRM AND CUSTOMERS BY USING ARTIFICIAL INTELLIGENCE. International Journal of Advance Research and Innovative Ideas In Education, 9(6), 775-782.
MLA Style
Abhishek, Kumar, et al. "COMPREHENSIVE SURVEY 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, pp. 775-782.
IEEE Style
Kumar Abhishek, Dr Diwakar Tripathi, and Dr Ashish Tamrakar, "COMPREHENSIVE SURVEY 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. 775-782, 2023.
Vancouver Style
Abhishek Kumar, Tripathi Dr Diwakar, Tamrakar Dr Ashish. COMPREHENSIVE SURVEY OF EFFECTIVE PREDICTION MODEL OF CRM AND CUSTOMERS BY USING ARTIFICIAL INTELLIGENCE. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(6):775-782.
Harvard Style
Abhishek, Kumar, Tripathi, Dr Diwakar, & Tamrakar, Dr Ashish (2023) 'COMPREHENSIVE SURVEY 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. 775-782.
Chicago Style
Abhishek, Kumar, Dr Diwakar Tripathi, and Dr Ashish Tamrakar. "COMPREHENSIVE SURVEY 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): 775-782.
Turabian Style
Abhishek, Kumar, Dr Diwakar Tripathi, and Dr Ashish Tamrakar. "COMPREHENSIVE SURVEY 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): 775-782.
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