The Transformative Impact of Artificial Intelligence on Retail: Adoption, Challenges, and Future Prospects

Artificial Intelligence (AI) is revolutionizing the retail industry by enhancing operational efficiency,customer experience, and decision-making processes. This study examines the impact of AI on retail,focusing on adoption trends, benefits, challenges, and future implications. A mixed-method approach wasemployed, combining primary data from 156 retail professionals and secondary data from academicliterature. Findings indicate that AI applications such as chatbots, demand forecasting, and personalizedmarketing significantly improve inventory management, customer engagement, and cost reduction.However, challenges like high implementation costs, data privacy concerns, and workforce displacementhinder widespread adoption. Regression and correlation analyses reveal that AI positively influencesbusiness efficiency but faces resistance due to integration complexities. The study concludes that while AIoffers transformative potential, retailers must address ethical concerns, invest in employee training, andensure secure data practices to maximize benefits. Future research should explore AI’s long-term economicand social impacts on retail employment and consumer behaviour.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-02
DOI
https://doi.org/10.5281/zenodo.15320736
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

The Transformative Impact of Artificial Intelligence on Retail: Adoption, Challenges, and Future Prospects

Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

The Transformative Impact of Artificial Intelligence on Retail: Adoption, Challenges, and Future Prospects

article en

Abstract

Artificial Intelligence (AI) is revolutionizing the retail industry by enhancing operational efficiency,customer experience, and decision-making processes. This study examines the impact of AI on retail,focusing on adoption trends, benefits, challenges, and future implications. A mixed-method approach wasemployed, combining primary data from 156 retail professionals and secondary data from academicliterature. Findings indicate that AI applications such as chatbots, demand forecasting, and personalizedmarketing significantly improve inventory management, customer engagement, and cost reduction.However, challenges like high implementation costs, data privacy concerns, and workforce displacementhinder widespread adoption. Regression and correlation analyses reveal that AI positively influencesbusiness efficiency but faces resistance due to integration complexities. The study concludes that while AIoffers transformative potential, retailers must address ethical concerns, invest in employee training, andensure secure data practices to maximize benefits. Future research should explore AI’s long-term economicand social impacts on retail employment and consumer behaviour.

Zenodo (CERN European Organization for Nuclear Research)
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AI in Service Interactions
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The Transformative Impact of Artificial Intelligence on Retail: Adoption, Challenges, and Future Prospects · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS