AI Enabled E-Commerce Platform
Abstract & Details
Research Area
Computer Engineering
Keywords
Artificial Intelligence
Smart shopping
E-commerce
Personalization
Emerging Technologies.
Abstract
This survey provides an overview of AI-based E-Commerce platforms and their impact on the online retail industry.
With the rapid advancement of artificial intelligence (AI), businesses have begun to leverage their capabilities to
enhance customer experience, optimize operations, and drive revenue growth in the e-commerce sector. This study
presents a comprehensive analysis of the current state of AI-based E-Commerce platforms, highlighting their key
features, benefits, challenges, and future prospects. The survey began by introducing the concept of AI and its relevance
to e-commerce. It explores how AI technologies, such as machine learning, natural language processing, computer
vision, and recommendation systems, are being integrated into e-commerce platforms to deliver personalized shopping
experiences, improve product search and discovery, and enable intelligent customer support. Furthermore, this study
investigates various applications of AI in different aspects of the e-commerce ecosystem. It examines how AI is used
for demand forecasting, inventory management, pricing optimization, fraud detection, and supply chain optimization.
Additionally, it explores the role of AI in enhancing customer engagement through chatbots, virtual assistants, and
personalized marketing campaigns. Finally, this study explores the future prospects and emerging trends in AI-based
E-Commerce platforms. It discusses the potential impact of emerging technologies such as augmented reality, virtual
reality, and voice assistants on the future of online retail. It also examines the role of AI in enabling hyperpersonalization, seamless omni-channel experiences, and predictive analytics in e-commerce. Overall, this survey
paper provides a comprehensive understanding of AI-based E-Commerce platforms, their current applications, and
their future possibilities. It serves as a valuable resource for researchers, industry professionals, and policymakers
interested in understanding the evolving landscape of AI in the E-Commerce industry and its potential implications
for businesses and consumers.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Puja Rajput | AISSMS College of Engineering |
| 2 | V. S. Gunjal | AISSMS College of Engineering |
| 3 | Tanaya Kamble | AISSMS College of Engineering |
| 4 | Atharva Jamdar | AISSMS College of Engineering |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Rajput, Puja, Gunjal, V. S., Kamble, Tanaya, & Jamdar, Atharva (2023). AI Enabled E-Commerce Platform. International Journal of Advance Research and Innovative Ideas In Education, 9(6), 747-757.
MLA Style
Rajput, Puja, et al. "AI Enabled E-Commerce Platform." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 6, 2023, pp. 747-757.
IEEE Style
Puja Rajput, V. S. Gunjal, Tanaya Kamble, and Atharva Jamdar, "AI Enabled E-Commerce Platform," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 6, pp. 747-757, 2023.
Vancouver Style
Rajput Puja, Gunjal V. S., Kamble Tanaya, Jamdar Atharva. AI Enabled E-Commerce Platform. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(6):747-757.
Harvard Style
Rajput, Puja, Gunjal, V. S., Kamble, Tanaya, & Jamdar, Atharva (2023) 'AI Enabled E-Commerce Platform', International Journal of Advance Research and Innovative Ideas In Education, 9(6), pp. 747-757.
Chicago Style
Rajput, Puja, et al. "AI Enabled E-Commerce Platform." International Journal of Advance Research and Innovative Ideas In Education 9, no. 6 (2023): 747-757.
Turabian Style
Rajput, Puja, et al. "AI Enabled E-Commerce Platform." International Journal of Advance Research and Innovative Ideas In Education 9, no. 6 (2023): 747-757.
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