The Role of AI-Powered Recommendation Engines in Automotive Shopping Websites

Authors

Divya Chockalingam

Abstract

The emergence of artificial intelligence (AI) has significantly transformed the online automotive shopping experience. AI-powered recommendation engines play a crucial role in enhancing customer engagement, increasing sales, and optimizing user experiences. By leveraging machine learning algorithms, collaborative filtering, and deep learning models, these engines personalize vehicle suggestions based on consumer behavior, preferences, and market trends. This paper explores the mechanisms, applications, impacts, and future scope of AI-driven recommendation systems in the automotive e-commerce industry. The discussion includes an in-depth analysis of how these recommendation engines work, their advantages, potential challenges, and ways to improve their efficiency. Additionally, the paper highlights case studies from leading automotive e-commerce platforms to demonstrate real-world applications and effectiveness.

Keywords

Artificial Intelligence, Recommendation Engines, Automotive Shopping, Machine Learning, Personalization, E-Commerce, Data Analytics, Deep Learning, Customer Experience.

The Role of AI-Powered Recommendation Engines in Automotive Shopping Websites. Divya Chockalingam. 2023. IJIRCT, Volume 9, Issue 5. Pages 1-3. https://www.ijirct.org/viewPaper.php?paperId=2503079