AI-Enhanced Data Activation: Combining Salesforce Einstein and Data Cloud for proactive customer engagement

Authors

  • ShivaKrishna Deepak Veeravalli Lacework, USA Author

DOI:

https://doi.org/10.63397/ISCSITR-IJCC_05_02_002

Keywords:

Salesforce Einstein, Data Cloud, AI-enhanced CRM, Customer 360, Data activation, Predictive analytics, Personalization, Customer engagement, Data-driven marketing, Automation

Abstract

This paper explores the strategic fusion of Salesforce Einstein and Salesforce Data Cloud for AI-enhanced data activation, enabling organizations to deliver proactive, personalized customer engagement. By unifying real-time data ingestion, AI-driven insights, and automation, enterprises can transition from reactive to predictive customer relationship management. The study reviews existing technologies and methodologies, builds a conceptual framework integrating Salesforce’s ecosystem, and proposes a scalable architecture for intelligent engagement. Furthermore, it draws from literature to contextualize modern trends, supported by diagrams, infographics, and data-driven visualizations to provide a holistic perspective.

References

Daugherty, P. R., & Wilson, H. J. (2018). Human + machine: Reimagining work in the age of AI. Harvard Business Review Press. https://cdn.porchlightbooks.com/assets/ChangeThis/manifesto/163.03.HumanMachine/pdf/163.03.HumanMachine.pdf

Turban, E., Outland, J., King, D., Lee, J. K., Liang, T. P., & Turban, D. C. (2018). Intelligent (smart) e-commerce. In Electronic Commerce 2018 (pp. 149–175). Springer.

https://link.springer.com/chapter/10.1007/978-3-319-58715-8_7

Marr, B. (2020). The intelligence revolution: Transforming your business with AI. Wiley.

https://books.google.com/books?id=fhn0DwAAQBAJ

von Struensee, S. (2021). Artificial Intelligence and Corporate Social Responsibility. SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3873097

Pagani, M., & Champion, R. (2022). Artificial Intelligence for Business Creativity. Routledge. https://books.google.com/books?id=zMDGEAAAQBAJ

Shankar, V. (2018). How artificial intelligence (AI) is reshaping retailing. Journal of Retailing, 94(4), vi–xi. https://doi.org/10.1016/j.jretai.2018.10.002

Kumar, V., Dixit, A., Javalgi, R. G., & Dass, M. (2016). Digital transformation of business-to-business marketing: Framework and research agenda. Journal of Business & Industrial Marketing, 31(8), 1057–1070. https://doi.org/10.1108/JBIM-12-2015-0256

Rust, R. T., & Huang, M. H. (2014). The service revolution and the transformation of marketing science. Marketing Science, 33(2), 206–221. https://doi.org/10.1287/mksc.2013.0836

Davenport, T. H., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42. https://doi.org/10.1007/s11747-019-00696-0

Chatterjee, S., Rana, N. P., Tamilmani, K., & Sharma, A. (2021). The next generation of AI-powered marketing: A review. Technological Forecasting and Social Change, 172, 121017. https://doi.org/10.1016/j.techfore.2021.121017

Kumar, V. (2018). Transformative marketing: The next 20 years. Journal of Marketing, 82(4), 1–12. https://doi.org/10.1177/0022242918781876

Berman, S. J. (2012). Digital transformation: Opportunities to create new business models. Strategy & Leadership, 40(2), 16–24. https://doi.org/10.1108/10878571211209314

Tschang, F. T., & Almirall, E. (2021). AI, data, and platforms: The new world of business. California Management Review, 63(3), 5–22. https://doi.org/10.1177/0008125621992900

Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69–96. https://doi.org/10.1509/jm.15.0420

Arora, A., Dreze, X., Ghose, A., Hess, J. D., Iyengar, R., Jing, B., ... & Shankar, V. (2008). Putting one-to-one marketing to work: Personalization, customization, and choice. Marketing Letters, 19, 305–321. https://doi.org/10.1007/s11002-008-9056-z

McKinsey Global Institute. (2017). Artificial Intelligence: The Next Digital Frontier?

https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/artificial-intelligence-the-next-digital-frontier

Bughin, J., Seong, J., Manyika, J., Chui, M., & Joshi, R. (2018). Notes from the AI frontier: Modeling the impact of AI on the world economy. McKinsey & Company.

https://www.mckinsey.com/featured-insights/artificial-intelligence/notes-from-the-ai-frontier-modeling-the-impact-of-ai-on-the-world-economy

Gentsch, P. (2018). AI in Marketing, Sales and Service: How Marketers without a Data Science Degree can use AI, Big Data and Bots. Springer. https://doi.org/10.1007/978-3-658-26000-2

Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116. https://hbr.org/2018/01/artificial-intelligence-for-the-real-world

Kumar, V., & Reinartz, W. (2016). Creating Enduring Customer Value. Journal of Marketing, 80(6), 36–68. https://doi.org/10.1509/jm.15.0414

Downloads

Published

2024-12-10

How to Cite

AI-Enhanced Data Activation: Combining Salesforce Einstein and Data Cloud for proactive customer engagement. (2024). ISCSITR-INTERNATIONAL JOURNAL OF CLOUD COMPUTING (ISCSITR-IJCC) - ISSN (Online): 3067-7378, 5(2), 7-32. https://doi.org/10.63397/ISCSITR-IJCC_05_02_002