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An analysis of trends, challenges, and opportunities in retail analytics

Juan D. Velásquez

International Journal of Market Research2025https://doi.org/10.1177/14707853251315585article
AJG 2ABDC A
Weight
0.44

Abstract

Retail analytics has become a cornerstone of modern retail strategy, fueled by rapid technological innovations and the digital transformation of traditional retail environments. This paper reviews 563 documents indexed in Scopus, critically evaluating current trends and emerging challenges in retail analytics. The analysis is structured around four key dimensions: artificial intelligence and machine learning, big data and data analytics, data-driven retail, and data-driven decision-making. By synthesizing the literature, this study identifies strategic opportunities and future research directions essential for leveraging retail analytics to enhance customer experience, optimize operations, and sustain competitive advantage in physical and digital retail landscapes. The findings aim to guide researchers, data scientists, and industry professionals in addressing practical and theoretical challenges in this evolving field.

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https://doi.org/https://doi.org/10.1177/14707853251315585

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@article{juan2025,
  title        = {{An analysis of trends, challenges, and opportunities in retail analytics}},
  author       = {Juan D. Velásquez},
  journal      = {International Journal of Market Research},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/14707853251315585},
}

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Evidence weight

0.44

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.32 × 0.4 = 0.13
M · momentum0.57 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.