Analytics for smarter planning of retail operations

• Tipo: Outra Publicação em Revista Científica Internacional
• Data: 2025

Autores

Pedro Amorim (Autor) FEUP; Eng Larsson, F (Autor) Outra; Hübner, A (Autor) Outra

Revista

Título: International Journal of Production Economics

ISSN: 0925-5273

Editora: Elsevier

Indexação

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-019-RD3

DOI: 10.1016/j.ijpe.2025.109712

Abstract (EN): 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. © 2025 Elsevier B.V.

Idioma: Inglês

Tipo (Avaliação Docente): Científica