Artificial Intelligence on Retail Marketing

Artificial Intelligence on Retail Marketing

Authors:

1 B. Gowri Krishna, PGDMBDI32220, Marketing Specialisation, Universal Business School, Karjat, Raigad, Maharashtra, 410201.

Email address: gowri.krishna@ubs.org.in

2 Himanshu Kumar, PGDMBDI32236, Marketing Specialisation, Universal Business School, Karjat, Raigad, Maharashtra, 410201.

Email address: himanshu.kumar@ubs.org.in

3 Nandita Shah, PGDMBDI32270, Marketing Specialisation, Universal Business School, Karjat, Raigad, Maharashtra, 410201.

Email address: nandita.shah@ubs.org.in

 4 Eva Agarwal, PGDMBDI32290, Marketing Specialisation, Universal Business School, Karjat, Raigad, Maharashtra, 410201.

Email address: eva.agarwal@ubs.org.in

 Abstract- The modern retail sector is characterised by high consumer expectations and a new covenant of data-driven retail experiences. But it is not simple for merchants to create a personalised shopping experience at a scale that is meaningful and relevant. Retailers who can develop their retail channels will distinguish themselves as industry leaders when physical and digital purchase channels merge. Artificial intelligence (AI) has been increasingly used in various industries, including retail marketing. With the advent of technology and the growing popularity of e-commerce, retailers have been leveraging AI to improve their marketing efforts and provide a personalized shopping experience for their customers. This paper explores the various applications of AI in retail marketing, including customer segmentation, recommendation systems, and chatbots. We also discuss the benefits and challenges of using AI in retail marketing and the ethical considerations that need to be addressed.

Keywords: Artificial Intelligence, Retail Industry, Customer Segmentation, Ethical Considerations