Customizing Salesforce for Enhanced Webstore Experiences
The use of Salesforce to improve webstore experiences has emerged as a central research theme in the e-commerce industry.While considerable advancements have been made in personalizing Salesforce to optimize customer interactions, process automation, and sales process optimization, there remains a huge research gap in understanding the complex implications of such personalizations on long-term customer loyalty, large-scale personalization, and channel consistency. Research work done in this period has been largely focused on areas such as the use of AI-enabled tools like Salesforce Einstein for personalized recommendations, the contribution of Salesforce’s omnichannel features in unifying customer experiences, and the use of advanced analytics for better decision-making. There are knowledge gaps in understanding the complex interlinks between the integration of such tools and their implications on customer retention and repeat purchase. While mobile, B2B, and subscription-based webstore customization has been explored, relatively few studies have been done on the full extent of Salesforce integration with a broad spectrum of third-party applications to extend user experience improvement. There is also a need for more thorough exploration of the potential for Salesforce to streamline new e-commerce models, such as voice and AR-based shopping experiences. This research tries to address those shortcomings by examining how Salesforce customizations can not only improve short-term webstore performance but also create long-term, personalized customer relationships that fuel long-term growth. This research also tries to investigate the effects of combining advanced payment systems and security features within Salesforce, which can potentially offer secure, seamless transactions to consumers across multiple platforms.
Authors
- Joshna Konudula
- Er. Kratika Jain
Publication Details
- Journal
- International Journal of Research in Modern Engineering & Emerging Technology
- Published
- 2025-04-01
- DOI
- https://doi.org/10.63345/ijrmeet.org.v13.i4.3
- Primary Topic
- Customer churn and segmentation
- Type
- article
- Field-Weighted Citation Impact
- 0.00