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Best Practices for AI in Retail: Also for Multisensory?

In: Multisensory in Stationary Retail

Author

Listed:
  • Gerrit Heinemann

    (Hochschule Niederrhein)

  • Kerstin Sonntag

    (Hochschule Niederrhein)

  • Marcus Groß

    (adesso SE)

Abstract

Meanwhile, there is no doubt about the realization that brick-and-mortar retailers need to reinvent themselves. For example, stationary retailers in the city are often struggling with declining customer numbers and stagnating sales, while online retailers continue to grow and are becoming a growth driver for the entire retail industry. Against this background, new solutions are required. In this regard, artificial intelligence (AI) systems can support retailers, especially in personalized customer advice and customer communication. For example, smart displays recognize products selected by the customer and recommend suitable additional items, such as with Amazon 4-Star. Or employees can provide personalized advice to their customers with the help of AI-supported tablets, such as at Zara. Payment is then made without stopping at the checkout by image recognition of the purchased goods and by accessing the digital customer account, as for example at Amazon Go. In this respect, it makes sense for the stationary retail trade to deal intensively with the topic of AI.

Suggested Citation

  • Gerrit Heinemann & Kerstin Sonntag & Marcus Groß, 2023. "Best Practices for AI in Retail: Also for Multisensory?," Springer Books, in: Gunnar Mau & Markus Schweizer & Christoph Oriet (ed.), Multisensory in Stationary Retail, chapter 12, pages 167-181, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-38227-8_12
    DOI: 10.1007/978-3-658-38227-8_12
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