Analytics for smarter planning of retail operations

This special issue showcases state-of-the-art research at the intersection of analytics and retail operations. As the retail landscape becomes increasingly complex – driven by omnichannel strategies, evolving customer expectations, and a surge in data availability – analytics has emerged as a critic...

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Bibliographic Details
Published in:International journal of production economics p. 109712
Main Authors: Amorim, Pedro, Eng-Larsson, Fredrik, Hübner, Alexander
Format: Journal Article
Language:English
Published: Elsevier B.V 01.06.2025
Subjects:
Customer management
Data analytics
Distribution
Procurement
Warehousing
Procurement
Customer management
Data analytics
Warehousing
Distribution
ISSN:0925-5273, 1873-7579
Online Access:Get full text
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Summary:This special issue showcases state-of-the-art research at the intersection of analytics and retail operations. As the retail landscape becomes increasingly complex – driven by omnichannel strategies, evolving customer expectations, and a surge in data availability – analytics has emerged as a critical enabler of operational efficiency, customer experience, responsiveness, and sustainability and ethics. Collectively, these contributions demonstrate how advanced analytics can support retailers in navigating uncertainty, personalizing services, and scaling up innovation across formats and channels. The articles featured in this issue address a diverse set of decision domains, including warehousing, inventory and assortment planning, and distribution and last-mile delivery. Methodologically, they span descriptive, prescriptive, and hybrid approaches, leveraging tools such as machine learning, stochastic modeling, and dynamic optimization. By grounding models in real-world data and focusing on practical implementation, the issue provides actionable insights for both scholars and practitioners. It also highlights emerging opportunities for future research on behavioral integration, human-machine collaboration, and the ethical dimensions of retail analytics.
ISSN:0925-5273
1873-7579
DOI:10.1016/j.ijpe.2025.109712