The Role of AI-Powered Recommendation Engines in Automotive Shopping Websites
Author(s): Divya Chockalingam
Publication #: 2503079
Date of Publication: 06.10.2023
Country: United States
Pages: 1-3
Published In: Volume 9 Issue 5 October-2023
DOI: https://doi.org/10.5281/zenodo.15087132
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.
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