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Research Article | Open Access
Volume 14 2022 | None
ARTIFICIAL INTELLIGENCE APPLIED TO ASSIGNED MERCHANDISE LOCATION IN RETAIL SALES SYSTEM
Dr.R.Mary Metilda, Dr.R.Anu Radha, P.Agarshana
Pages: 364-369
Abstract
An objective of the study is to examine the practical implications using artificial intelligence based solutions in the case of retail mobile applications to enhance the online shopping experience and improve the engagement by also having in mind the privacy of the user for improving the process of assigning storage locations for merchandise in a warehouse is disadvantage of policies. In the literature that merchandise is assigned to allocation only according to the volume of sales and the rotation and the physical characteristics of the products and their sales pattern to design an integral policy. This presents an alternative to the aforementioned process using Minitab software the based on the information gathered we provided practical methods to integrate artificial intelligence-based solutions to offer a new set of services partially unavailable in physical stores some permissions identified if exploited by malicious users can affect individuals privacy the fact that artificial intelligence is a fast-developing technology constitutes the main challenge in the effort of creating proper regulations. This provides practical directions regarding the benefits of integrating artificial intelligence solutions in retail mobile applications in an ethical manner protecting the user's privacy.
Keywords
An objective of the study is to examine the practical implications using artificial intelligence
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