Artificial intelligence technology selection with multi-criteria decision making method in retail indust

Although businesses in the retail sector are the biggest power determining the world economy, it is an accepted fact that they have to keep up with change by using new technologies in order to survive in this highly competitive environment today. Artificial intelligence applications and technologies in the retail sector are one of the most prominent areas with the opportunity to contact the end user, provide great convenience to the users and play a role in change. As a result of the change that the organizations in the sector are trying to implement, they are trying to optimize their existing knowledge, workforce and ongoing processes and turn them into a more efficient and profitable point. Following the criterion weight evaluation of the artificial intelligence technologies used in this study with the BWM method, it is aimed to prioritize and select with WASPAS evaluation according to the resulting weights. However, since artificial intelligence is a subject focused on technologhy selection in the retail sector, to the best of our knowledge, no previous study on this subject has been found in Turkey. Therefore, the aim of the study is to fill the existing gap.