The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Artificial Intelligence to Achieve Retail Supply Chain Resilience: A Systematic Review And Agenda For Future Research
Abstract
In the modern retail context, artificial intelligence (AI) and machine learning (ML) techniques are crucial for optimising essential activities such as supplier management, demand forecasting, inventory management, pricing, and order fulfilment. However, they may require a better understanding of the retail sector as the application of AI and ML varies across the various sections. This chapter employs a systematic literature review to synthesise data from 62 high-quality research studies demonstrating how these technologies can indirectly improve collaboration, visibility, speed, flexibility, configuration, and awareness within the retail supply chain. Adopting AI and ML significantly boosts operational efficiency, robustness, and adaptability, reducing the disruption risk. By leveraging these technologies, retailers can build more resilient and competitive retail supply chains capable of swiftly responding to market changes and disruptions.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|