E-Commerce Experience Through Visual Search and Image Recognition: Insights from Consumer Perspective

Abstract

In the realm of e-commerce, the integration of visual search and image recognition technologies has emerged as a transformative tool, promising a seamless shopping experience for consumers. This research delves into consumer awareness and understanding of these features, investigating the factors driving their adoption and influence on purchase behavior and satisfaction. The challenges such as privacy concerns, lack of awareness, technical limitations, etc may hinder widespread adoption. Addressing these issues and improving the usability of these technologies is crucial for maximizing their potential in e-commerce. Understanding consumer perceptions and behaviors regarding visual search and image recognition is essential for e-commerce platforms to tailor their offerings effectively. By leveraging these insights, businesses can enhance customer satisfaction, drive sales, and stay competitive in the dynamic online marketplace. In conclusion, this research tries to shed light on the multifaceted dynamics between consumers and visual search and image recognition technologies, offering valuable insights for e-commerce stakeholders aiming to optimize user experiences and drive business growth.

Keywords: E-Commerce, Image Recognition, Product Images, Technology, Visual Search

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