Authors : Kishan Raj Bellala

Volume/Issue : Volume 10 - 2025, Issue 10 - October

Google Scholar : https://tinyurl.com/nrpbnthy

Scribd : https://tinyurl.com/y49bew2d

DOI : https://doi.org/10.38124/ijisrt/25oct1477

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Note : Google Scholar may take 30 to 40 days to display the article.

Abstract : The Salesforce Marketing Cloud (SFMC) platform allows e-commerce businesses to create personalized, data-driven marketing experiences on a scale. The research investigates how SFMC addresses major e-commerce problems by utilizing its marketing automation capabilities and its third-party system integration features. The research builds upon existing knowledge by studying methods for developing custom solutions through API-based workflows, data analytics, and AI-powered personalization, as well as their security and compliance requirements. The paper demonstrates how emerging trends like augmented reality (AR) and AI-driven analytics are transforming e-commerce operations within the Salesforce ecosystem. By synthesizing established best practices with real-world business examples, this study demonstrates how customized Salesforce integration enables businesses to build scalable, efficient, and customer-focused e-commerce experiences.

Keywords : Salesforce Marketing Cloud, E-commerce, Custom Integrations, Marketing Automation, AI in Retail, Data Analytics, API Integrations.

References :

1. Jallow, M. (2022). Creating secure integrations: Case of Salesforce integrations.
2. Schembari, F. (2020). Re-platforming operation of the e-commerce web portal for a retail global enterprise. Support the rollout of new countries in the company's Omni-channel program by developing new features and exporting existing ones from SiteGenesis onto the StoreFront reference architecture.
3. Bullock, C., & Pollard, M. (2017). Salesforce Marketing Cloud for Dummies. John Wiley & Sons.
4. Mulpuri, R. (2025). Comprehensive Review of Multi-cloud Architecture for Salesforce in Enterprise Environments.
5. Ahmad, S., & Museera, S. (2024). The Strategic Influence of Cloud Computing on Contemporary Marketing and Management Practices. Journal of Engineering and Computational Intelligence Review, 2(2), 21-30.
6. Vattam, L. (2022). Salesforce REST API in Action: A Practical and Research-Based Exploration of Integration Solutions. International Journal of Artificial Intelligence, Data Science, and Machine Learning, 3(2), 36-43.
7. Cheruku, S., Goel, (Dr.), & Jain, U. (2023). Leveraging Salesforce Analytics for Enhanced Business Intelligence. Innovative Research Thoughts, 9(5), 165–177. https://doi.org/10.36676/irt.v9.i5.1462
8. Raji, M., Olodo, H., Oyewole, A., Ofodile, O., Addy, W., & Oke, T. (2024). E-commerce and consumer behavior: A review of AI-powered personalization and market trends. GSC Advanced Research and Reviews, 18(3), 066–077. https://doi.org/10.30574/gscarr.2024.18.3.0090
9. Kyaw, K., Tepsongkroh, P., Sasha, F., & Thongkamkaew, C. (2023). Business Intelligent Framework Using Sentiment Analysis for Smart Digital Marketing in the E-Commerce Era. Asia Social Issues, 16(3), e252965. https://doi.org/10.48048/asi.2023.252965
10. Thanyawatpornkul, R. (2024). Implementing AI-driven Customer Relationship Management (CRM) systems: Enhancing customer experience in the retail industry of Thailand. World Journal of Advanced Research and Reviews, 24(1), 1691–1699. https://doi.org/10.30574/wjarr.2024.24.1.3154
11. Chinta, U., Aggarwal, A., & Jain, S. (2021). Risk Management Strategies in Salesforce Project Delivery: A Case Study Approach. Innovative Research Thoughts, 7(3), 90–100. https://doi.org/10.36676/irt.v7.i3.1452
12. Alojail, M., & Bhatia, S. (2020). A Novel Technique for Behavioral Analytics Using Ensemble Learning Algorithms in E-Commerce. IEEE Access, 8, 150072–150080. https://doi.org/10.1109/access.2020.3016419
13. Tangudu, A., Aggarwal, A., & Jain, S. (2024). Best Practices for Ensuring Salesforce Application Security and Compliance. Journal of Quantum Science and Technology, 1(2), 88–101. https://doi.org/10.36676/jqst.v1.i2.18
14. Kishan Raj Bellala. “Driving Business Transformation: Exploring the Power of Workday as a Cloud-Based Solution.” Volume. 10 Issue.6, June-2025 International Journal of Innovative Science and Research Technology (IJISRT), 1859-1865, https://doi.org/10.38124/ijisrt/25jun1229
15. Adawiyah, S. R., Purwaningsih, E. H., Purwandari, B., & Eitiveni, I. (2024). The Influence of AI and AR Technology in Personalized Recommendations on Customer Usage Intention: A Case Study of Cosmetic Products on Shopee. Applied Sciences, 14(13), 5786. https://doi.org/10.3390/app14135786