University of South Florida (USF) M3 Publishing
Abstract
Advances in Artificial Intelligence and Machine Learning technologies have brought a completely new level of data processing that provides deeper business insights. Purchasing advice, dynamic pricing, personal content and advice have become widely used in the retail industry thanks to artificial intelligence. Almost real-time results can be achieved by expanding the scope of data obtained from existing customers and algorithms that mimic human-like behavior. In addition, interactions with machines are more widely accepted than before, allowing consumers to accept innovations faster and thus increase brand loyalty. On the other hand, the success of artificial intelligence, which will change the future of humanity and retailers to a great extent, will depend on the quality of the data that interconnected devices will learn, the integration of the applications into the business processes, the correct transfer of the results to the responsible people and the use of them in harmony with the corporate goals. Retailers and customers will accept the use of artificial intelligence if they realize and experience a specific benefit for them. This article aims to provide a framework for how artificial intelligence applications are used in retail.
DOI
https://www.doi.org/10.5038/9781955833035
Recommended Citation
Kircova, I., Saglam, M. H., & Kose, S. G. (2021). Artificial intelligence in retailing. In C. Cobanoglu, & V. Della Corte (Eds.), Advances in global services and retail management (pp. 1–14). USF M3 Publishing. https://www.doi.org/10.5038/9781955833035
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
