Challenges of Artificial Intelligence Implementation in the ECommerce Sector in India

Rajesh Kanna Raji
Assistant Professor, Vels University, Chennai, Tamil Nadu

The accomplishment of artificial intelligence (AI) in the e-commerce sector presents common challenges that administrations must direct to maximise the effectiveness of AI aids. This paper observes critical challenges faced by e-commerce businesses in implementing AI and its influence on their processes. The challenges include data privacy and safety concerns, the need for skilled flair, grouping with surviving systems, moral thoughts, and customer approval. Addressing these challenges is critical for establishments to influence AI resourcefully, progress customer capabilities, advance operative skill, and gain a reasonable edge in the e-commerce market.

Artificial intelligence needs a lot of data, which raises questions about how this data is gathered, stored, and protected. Implementation of AI necessitates specialised skills that may be lacking in many organisations, highlighting the significance of acquiring or developing these individuals. There are a lot of e-commerce businesses that use old systems that might not work with new AI technologies, making it hard to integrate them. Ethical guidelines and transparent systems are needed because AI can sometimes produce biased or discriminatory outcomes. For businesses to fully utilise AI’s potential, it is essential to successfully overcome these obstacles. It may result in enhanced customer experiences, increased operational efficacy, and a stronger market position of competitiveness.