Role of Artificial Intelligence (AI) in enhancing M-Commerce
Artificial Intelligence (AI) has revolutionized mobile commerce (M-commerce), changing how companies engage with their clientele. This paper examines the opportunities and challenges presented by AI in M-commerce, emphasizing its effects on personalized shopping, customer service, and operational efficiency, as well as the challenges of data privacy, security concerns, and integration complexities. Technology is being used more and more in today's world, and as science and technology advance, new things and innovations are occurring. The retail sector is also undergoing a number of changes, and it is no longer limited to physical stores that sell various consumer goods. Customers' needs are met right there at their fingertips. Many e-commerce companies are operating efficiently and use artificial intelligence to deliver optimal services. Numerous people who use smartphones have access to 4G internet services around the country. They have become fairly accustomed to utilizing e-commerce on their mobile devices. They no longer rely on desktops or personal computers to make their online purchases. Their very sophisticated smartphones come with a number of capabilities that make m-commerce transactions easy and rapid. This study examined the degree to which artificial intelligence is influencing m-commerce. Personalized customer service and artificial intelligence (AI)-enhanced voice search in m-commerce are two of the main topics this study covers. The goal of the study is to shed light on how AI may be used to maximize the growth of M-commerce.
Authors
- Ashutosh Mishra (ORCID: https://orcid.org/0000-0001-8579-5583)
Institutions
- Klinik und Poliklinik für Psychosomatik und Psychotherapie (DE)
- Jawaharlal Nehru Technological University Anantapur (IN)
Publication Details
- Journal
- International Journal of Advances in Engineering and Management
- Published
- 2025-04-01
- DOI
- https://doi.org/10.35629/5252-0704740743
- Primary Topic
- SMEs Development and Digital Marketing
- Type
- article
- Field-Weighted Citation Impact
- 0.00