State-of-the-art and adoption of artificial intelligence in retailing

Weber, Felix; Schütte, Reinhard

doi:10.1108/dprg-09-2018-0050

Cited by 82 publications

(67 citation statements)

References 35 publications

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“…A notable example is Amazon, with its model of the Amazon Go store. Robots used for sales support in Amazon Robotics, Cisco, Ocado, and Softbank are more compatible with current store models (Weber & Schütte, 2019).…”

Section: Customer Service and Payment Managementmentioning

confidence: 99%

“…AI is also used to determine how many products of each commodity should be stored in various warehouses depending on the local warehouse, season, area and major cities (Weber & Schütte, 2019). Then accordingly, AI adjusts the quantities of optimal stock.…”

Section: Inventory Optimisationmentioning

confidence: 99%

“…AI is used to handle last-minute changes for delivery and shipping. It involves choosing the best option port if the initially planned port is blocked, calculating arrival time and assessing a carrier's likelihood of cancelling a contract (Armstrong, 2017;Weber & Schütte, 2019).…”

Section: Logistics Transportation and Delivery Managementmentioning

confidence: 99%

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The Dark Side of Artificial Intelligence in Retail Innovation

Mahmoud¹,

Tehseen²,

Fuxman³

2020

Retail Futures

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Many academic scholars argue that the goal of using artificial intelligence (hereafter, AI) in business has been to serve humans in performing their jobs. Nevertheless, some scholars refute such arguments and warn against potential threats of AI to humankind in the future. AI or machine intelligence comprises three main aspects, i.e., learning, reasoning and selfcorrection, which aggregate to conjure up the artificial mind. In retailing, the employment of AI is progressively becoming a major theme of innovation and retailers are rapidly increasing the use of machine intelligence to efficiently simulate human intelligence and become more competitive through cutting costs and improving customer journeys. However, such benefits can be catastrophic in the long run. As a result of this, this chapter represents an attempt to produce a synthesis of current research on the use of AI in retailing and identify the possible benefits or ramifications on the 'human' pillars of the retail process (i.e., the employers, employees and customers). Finally, this chapter aims to reflect on relevant literature to conclude future research and industrial implications. Learning OutcomesThis chapter attempts to provide answers to the following questions:• What is artificial intelligence (AI)? Moreover, what is AI-based retail innovation?• How does AI work?• What are the applications of AI in retail services innovation?• What are the ethical aspects, considerations and issues regarding the employment of AI in retail?

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Section: Customer Service and Payment Managementmentioning

confidence: 99%

Section: Inventory Optimisationmentioning

confidence: 99%

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The Dark Side of Artificial Intelligence in Retail Innovation

Mahmoud¹,

Tehseen²,

Fuxman³

2020

Retail Futures

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“…It should be noted that once the technology adoption process is successful, the impact on the business can be very important. For example, in the retail industry, a lot of champions made a significative growth by adopting IA like Amazon and Walmart [10].…”

Section: Challenges Facing Ai Integration and Adoptionmentioning

confidence: 99%

How Enterprise must be Prepared to be “AI First”?

Lahlali¹,

Berbiche²,

Alami³

2021

IJACSA

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Among disruptive technologies, Artificial Intelligence (AI), Robotic Process Automation (RPA) and Machine Learning (ML) play a very important role in Businesses Transformation and continues to show great promise for creating new sources of wealth and new business models. The reality of AI in the company is not reduced to a simple process optimization. In fact, AI introduces new organizational schemes, new ways of working, new optimization niches, new services, other ways of thinking about interactions with customers and therefore a new way of doing business. It thus reshuffles competitive data and imagine innovative processes to create new business models, offering new opportunities not only for IT solution providers but also for innovators, investors and business owners. Even if the contribution of Artificial Intelligence is not to be proved, many companies face difficulties in adopting this technology, mainly due to the lack of a pragmatic approach highlighting the roles and responsibilities of the various stakeholders, especially IT professionals and business owners and the key steps to follow to make this experience a real success. This research aims to answer fundamental questions, in particular: What will bring the implementation of this technology to the business of the company? How to prepare for this adoption? and if the decision to go is confirmed, what kind of adoption approach should companies follow? and finally how can Enterprises monitor this shift to the Intelligent edge.

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“…This level of awareness suggests that the awareness and, ultimately, the adoption of AI solutions in the Loire wine industry is at a very early stage. It can, however, be assumed that this is not necessarily representative of the wine industry either in France or internationally, given that previous research observed variances in the adoption of AI within a specific sector (Weber & Schütte, 2019). This exploratory study aims to identify which factors enable or inhibit the wine grower's intention to adopt AI technology.…”

Section: Introductionmentioning

confidence: 99%