Using Artificial Intelligence for Retail Value Chain

Abstract

The present study aims to prove hypotheses regarding artificial intelligence integration in retail value chains in the post-Soviet economic space. Hypotheses were proven within a comprehensive research project based on the use of quantitative research methods (questionnaires), which allowed studying the opinions of 512 retail managers in Azerbaijan, Kazakhstan, and Tajikistan. A specially designed questionnaire eliminated ambiguity in results interpretation by including both simple closed questions with a single choice and questions using a Likert scale. All the formulated hypotheses were proven, leading to the conclusion that the retail market of the post-Soviet economic space is not ready for the introduction of robotization and full automation of retail stores. The study results can be used by retail managers in the post-Soviet economic space as they choose the direction of artificial intelligence integration.

The Drivers of Complexity in Inventory Management Within the Healthcare Industry

“…Future areas of research that can be further explored are 1) Internet of Things (IoT) for full connectivity, 2) cloud technology for hybrid work in particular, 3) artificial intelligence/machine learning for enhancement of inventory management operation (Burakhanova et al, 2023 andlmarzoqi &Albakjaji, 2022), 4) utilizing data analytics for predictive selection (Lalou et al, 2020), 5) automating warehouses in order to reduce labor in inventory management (Jaradat et al, 2016), and 6) using AVGs and AMRs to improve automation and ensure lean operation in inventory management (Pizoń et al, 2024).…”