AI-POWERED CRMS: REVOLUTIONIZING CUSTOMER ENGAGEMENT AND BUSINESS GROWTH

Authors

  • Vikas Reddy Penubelli LinkedIn Corporation, United States. Author

Keywords:

Artificial Intelligence (AI), Customer Relationship Management (CRM), Personalization, Predictive Analytics, Competitive Advantage

Abstract

The advent of artificial intelligence (AI) has revolutionized the landscape of customer relationship management (CRM), enabling businesses to harness the power of intelligent automation, predictive analytics, and data-driven insights. This article explores the transformative impact of AI-powered CRMs on business success, highlighting their ability to enhance customer understanding, personalize experiences, and drive operational efficiency. By leveraging AI algorithms to analyze vast amounts of customer data, these advanced CRM systems empower businesses to anticipate customer needs, identify emerging market trends, and make informed strategic decisions. The article delves into the key advantages of AI-powered CRMs, including improved customer satisfaction, increased productivity, and enhanced profitability. It also addresses the challenges associated with implementing AI in CRM, such as data privacy concerns and employee adaptation, while providing practical recommendations for businesses considering adoption. Through real-world examples and expert insights, this article underscores the vital role of AI-powered CRMs in shaping the future of customer engagement and business growth in an increasingly competitive and data-driven marketplace

References

Grand View Research. (2020). AI-powered CRM Market Size, Share & Trends Analysis Report By Component, By Deployment, By Enterprise Size, By Application, By End Use, By Region, And Segment Forecasts, 2020 - 2027. https://www.grandviewresearch.com/industry-analysis/ai-powered-crm-market

Salesforce. (2020). State of the Connected Customer. https://www.salesforce.com/resources/research-reports/state-of-the-connected-customer/

McKinsey & Company. (2019). The AI-powered enterprise: Unlocking the potential of AI at scale. https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/the-ai-powered-enterprise-unlocking-the-potential-of-ai-at-scale

Accenture. (2019). AI: Built to Scale. https://www.accenture.com/_acnmedia/Thought-Leadership-Assets/PDF/Accenture-Built-to-Scale-PDF-Report.pdf

A. Bhatnagar, N. Arunkumar, A. Hissaria, and N. Mehta, "AI-powered CRM: Redefining Customer Relationship Management," in 2021 International Conference on Artificial Intelligence and Machine Learning (AICAAM), 2021, pp. 1-6, doi: 10.1109/AICAAM51918.2021.9435109.

M. Brill, "A study of the impact of AI-powered CRM on customer engagement and business performance," Journal of Marketing Management, vol. 37, no. 7-8, pp. 765-784, May 2021, doi: 10.1080/0267257X.2021.1907841.

R. Rai, S. Mehta, and A. Kumar, "Harnessing the power of AI for personalized customer experiences: A framework for AI-driven CRM," International Journal of Information Management, vol. 57, p. 102316, Apr. 2021, doi: 10.1016/j.ijinfomgt.2020.102316.

J. Varadarajan and S. Ramachandran, "The impact of AI-powered CRM on sales performance: An empirical investigation," Journal of Business & Industrial Marketing, vol. 36, no. 1, pp. 1-12, Jan. 2021, doi: 10.1108/JBIM-10-2019-0428.

H. Singh, M. Kar, and P. V. Ilavarasan, "Role of AI-powered CRM in enhancing customer lifetime value," Journal of Retailing and Consumer Services, vol. 63, p. 102662, Nov. 2021, doi: 10.1016/j.jretconser.2021.102662.

L. Gupta, A. Jain, and S. Madan, "Unleashing the potential of AI in CRM: A review and research agenda," International Journal of Information Management Data Insights, vol. 1, no. 2, p. 100023, Nov. 2021, doi: 10.1016/j.jjimei.2021.100023.

P. Harrigan, G. Soutar, M. M. Choudhury, and M. Lowe, "Modelling CRM in the social media age," Australasian Marketing Journal, vol. 23, no. 1, pp. 27-37, Feb. 2015, doi: 10.1016/j.ausmj.2014.11.001.

V. Kumar, Y. Hu, and A. Chari, "Enhancing business performance through AI-powered CRM: An organizational learning perspective," Industrial Marketing Management, vol. 98, pp. 254-266, Oct. 2021, doi: 10.1016/j.indmarman.2021.08.012.

Epsilon, "The power of me: The impact of personalization on marketing performance," Epsilon, 2018. [Online]. Available: https://www.epsilon.com/us/insights/resources/power-of-me.

A. Kaushik, R. Gupta, and S. K. Srivastava, "A study of AI-based CRM systems for enhancing customer experience," International Journal of Customer Relationship Marketing and Management, vol. 12, no. 1, pp. 1-15, Jan. 2021, doi: 10.4018/IJCRMM.2021010101.

S. Orenga-Rogla and S. Chalmeta, "Methodology for the implementation of knowledge management systems 2.0: A case study in an oil and gas company," Business & Information Systems Engineering, vol. 61, no. 2, pp. 195-213, Apr. 2019, doi: 10.1007/s12599-018-0555-z.

Salesforce, "State of Sales," Salesforce, 2021. [Online]. Available: https://www.salesforce.com/resources/research-reports/state-of-sales/.

E. Ascarza et al., "In pursuit of enhanced customer retention management: Review, key issues, and future directions," Customer Needs and Solutions, vol. 5, no. 1-2, pp. 65-81, Mar. 2018, doi: 10.1007/s40547-017-0080-0.

A. Babić Rosario, F. Sotgiu, K. De Valck, and T. H. A. Bijmolt, "The effect of electronic word of mouth on sales: A meta-analytic review of platform, product, and metric factors," Journal of Marketing Research, vol. 53, no. 3, pp. 297-318, Jun. 2016, doi: 10.1509/jmr.14.0380.

A. De Bruyn, J. Viswanathan, and J. Yoon, "Automated brand detection in social media images," International Journal of Research in Marketing, vol. 38, no. 2, pp. 365-384, Jun. 2021, doi: 10.1016/j.ijresmar.2020.10.003.

M. Zhang, L. Guo, M. Hu, and W. Liu, "Influence of customer engagement with company social networks on stickiness: Mediating effect of customer value creation," International Journal of Information Management, vol. 37, no. 3, pp. 229-240, Jun. 2017, doi: 10.1016/j.ijinfomgt.2016.04.010.

Z. Zhu, M. B. Nakata, and R. Sivakumar, "The effect of digital transformation strategy on performance: The moderating role of industry environment," Industrial Marketing Management, vol. 100, pp. 57-68, Jan. 2022, doi: 10.1016/j.indmarman.2021.12.005.

T. Wozniak, D. Schaffner, A. Stanoevska-Slabeva, and V. Lenz-Kesekamp, "Psychological antecedents of mobile consumer behaviour and implications for customer journeys in tourism," Information Technology & Tourism, vol. 21, no. 1, pp. 91-116, Mar. 2019, doi: 10.1007/s40558-018-0128-5.

M. Holmlund, Y. Van Vaerenbergh, R. Ciuchita, A. Ravald, P. Sarantopoulos, F. V. Ordenes, and M. Zaki, "Customer experience management in the age of big data analytics: A strategic framework," Journal of Business Research, vol. 116, pp. 356-365, Aug. 2020, doi: 10.1016/j.jbusres.2020.01.022.

L. Spiess, Y. T'Joens, R. Dragnea, P. Spencer, and L. Philippart, "Using big data to improve customer experience and business performance," Bell Labs Technical Journal, vol. 18, no. 4, pp. 3-17, Mar. 2014, doi: 10.1002/bltj.21642.

H. Jiang, S. Liu, K. Zhou, and Q. Wan, "Challenges and opportunities of AI application in CRM: An exploratory study," International Journal of Information Management, vol. 59, p. 102383, Aug. 2021, doi: 10.1016/j.ijinfomgt.2021.102383.

A. Ghorayeb, A. Deutinger, and C. Schaefer, "Implementing the EU General Data Protection Regulation in CRM systems," Journal of Direct, Data and Digital Marketing Practice, vol. 20, no. 3, pp. 195-207, Mar. 2019, doi: 10.1057/s41263-018-0149-3.

Y. Zheng, B. Wang, and X. Cheng, "The impact of AI on customer service employees: An empirical study," Journal of Service Theory and Practice, vol. 31, no. 3, pp. 395-418, Jun. 2021, doi: 10.1108/JSTP-10-2020-0235.

M. Queiroz, S. Fosso Wamba, and R. Telles, "Blockchain adoption in operations and supply chain management: Empirical evidence from an emerging economy," International Journal of Production Research, vol. 59, no. 20, pp. 6087-6103, Oct. 2021, doi: 10.1080/00207543.2020.1803511.

A. Popovič, R. Hackney, R. Tassabehji, and M. Castelli, "The impact of big data analytics on firms' high value business performance," Information Systems Frontiers, vol. 20, no. 2, pp. 209-222, Apr. 2018, doi: 10.1007/s10796-016-9720-4.

S. F. Wamba, A. Gunasekaran, S. Akter, S. J.-f. Ren, R. Dubey, and S. J. Childe, "Big data analytics and firm performance: Effects of dynamic capabilities," Journal of Business Research, vol. 70, pp. 356-365, Jan. 2017, doi: 10.1016/j.jbusres.2016.08.009.

P. Mikalef, I. O. Pappas, J. Krogstie, and M. Giannakos, "Big data analytics capabilities: A systematic literature review and research agenda," Information Systems and e-Business Management, vol. 16, no. 3, pp. 547-578, Aug. 2018, doi: 10.1007/s10257-017-0362-y.

N. Kühl, M. Mühlthaler, and M. Goutier, "Supporting customer-oriented marketing with artificial intelligence: Automatically quantifying customer needs from social media," Electronic Markets, vol. 30, no. 2, pp. 351-367, Jun. 2020, doi: 10.1007/s12525-019-00351-0.

J. Reis, P. E. Santo, and N. Melão, "Impacts of artificial intelligence on public administration: A systematic literature review," IEEE Access, vol. 9, pp. 30365-30384, 2021, doi: 10.1109/ACCESS.2021.3059968.

I. Pappas, P. Mikalef, M. N. Giannakos, J. Krogstie, and G. Lekakos, "Big data and business analytics ecosystems: Paving the way towards digital transformation and sustainable societies," Information Systems and e-Business Management, vol. 16, no. 3, pp. 479-491, Aug. 2018, doi: 10.1007/s10257-018-0377-z.

J. Bughin, E. Hazan, S. Ramaswamy, M. Chui, T. Allas, P. Dahlström, N. Henke, and M. Trench, "Artificial intelligence: The next digital frontier?" McKinsey Global Institute, June 2017. [Online]. Available: https://www.mckinsey.com/~/media/McKinsey/Industries/Advanced%20Electronics/Our%20Insights/How%20artificial%20intelligence%20can%20deliver%20real%20value%20to%20companies/MGI-Artificial-Intelligence-Discussion-paper.ashx

R. Adams, "10 Metrics for Measuring AI-Powered CRM Success," SmartKarrot, Aug. 2021. [Online]. Available: https://www.smartkarrot.com/resources/blog/10-metrics-for-measuring-ai-powered-crm-success/

Salesforce, "State of the Connected Customer," Salesforce, 2021. [Online]. Available: https://www.salesforce.com/resources/articles/customer-expectations/?d=cta-body-promo-52

McKinsey & Company, "The AI-powered enterprise: Unlocking the potential of AI at scale," McKinsey & Company, Apr. 2021. [Online]. Available: https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/the-ai-powered-enterprise-unlocking-the-potential-of-ai-at-scale

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Published

2024-05-28

How to Cite

AI-POWERED CRMS: REVOLUTIONIZING CUSTOMER ENGAGEMENT AND BUSINESS GROWTH. (2024). INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING AND TECHNOLOGY (IJARET), 15(3), 197-210. https://iaeme-library.com/index.php/IJARET/article/view/IJARET_15_03_017