Purpose The purpose of this study is to present a systematic literature review of academic peer-reviewed articles in English published between 2005 and 2021. The articles were reviewed based on the following features: research topic, conceptual and theoretical characterization, artificial intelligence (AI) methods and techniques. Design/methodology/approach This study examines the extent to which AI features within academic research in retail industry and aims to consolidate existing knowledge, analyse the development on this topic, clarify key trends and highlight gaps in the scientific literature concerning the role of AI in retail. Findings The findings of this study indicate an increase in AI literature within the field of retailing in the past five years. However, this research field is fairly fragmented in scope and limited in methodologies, and it has several gaps. On the basis of a structured topic allocation, a total of eight priority topics were identified and highlighted that (1) optimizing the retail value chain and (2) improving customer expectations with the help of AI are key topics in published research in this field. Research limitations/implications This study is based on academic peer-reviewed articles published before July 2021; hence, scientific outputs published after the moment of writing have not been included. Originality/value This study contributes to the in-depth and systematic exploration of the extent to which retail scholars are aware of and working on AI. To the best of the author’s knowledge, this study is the first systematic literature review within retailing research dealing with AI technology.
Purpose Contactless shopping concepts meet the needs of those consumers who want to minimise social interactions, especially due to COVID-19; they also offer added value by combining the advantages of traditional shopping with digital features that stem from online shopping. The development of digitalised retail concepts has been made possible through digitisation and the use of new technologies. To date, the concepts have been created with various formats through the application of the most advanced Industry 4.0 technologies. This paper aims to provide a deepened understanding of the latest trends and draws attention to the various classes, including shopping functionalities and features. Design/methodology/approach This paper performs a review of current disruptive and new business retail concepts within the grocery retail industry in Germany. Therefore, a secondary research methodology and observations were performed to create an overview and a categorization. This categorization has been used to identify the related cases. Findings The results add to the literature as follows. First, a matching of contactless shopping to innovative business models is made. Second, a status-quo analysis of contactless shopping solutions in Germany is carried out with defined set of criteria. This study created a list of all major available contactless shopping solutions. Third, this study examines two new business models, namely, automated vending machines and walk-in stores, which meet the changes in consumer behaviour and needs in times of the COVID-19 pandemic. Originality/value This paper provides a deeper understanding of the latest trends within the retail industry and draws attention to disruptive business models as well as the functionalities and features of shopping solutions. New store concepts launched during the COVID-19 pandemic have resulted in unique selling propositions of 24-h everyday shopping and contactless shopping.
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