13 Generative AI and LLM: Case Study in E-Commerce

The work presented in this chapter provides extensive knowledge concerning generative artificial intelligence (AI) and large language models. It reflects on the revolutionary nature of generative AI and large language models in e-commerce. Moreover, the document emphasizes the development, implementation, challenges, and prospects of generative AI and large language models in e-commerce. Successful integration is discussed, along with dangers to avoid, numerous advantages, and the issue of ethics. Finally, the file underlines the need for customization, improved operations, predictive analytics, and Ethernet implementation of AI in e-commerce. In addition, this chapter also discusses ethical concerns and data privacy issues related to the search and highlights the importance of ethical practices, participant safety, and data integrity. The chapter covers ethical considerations including the importance of ethical procedures and ethical decision-making and the future trends related to AI ethics and data sharing. This addresses the importance of maintaining integrity, transparency, and participant safety in research to maintain trust in the scientific community and conduct responsible research. Besides, the chapter talks about a number of AI advancements for e-commerce, listing, in particular, smart recommendations, augmented reality shopping, and blockchain solutions for dealing with suppliers and security issues. It delves into AI ethics issues, the hyper-personalization approach and also the cross-channel integration concepts, which will be the future! Consequently, the AI tools will be the basis for the development. The section on tackling shortcomings and risks provides small-scale environmental ethics implications of welfare reforms, animal agriculture, and transportation pollutants.