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INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN COMMERCE, MANAGEMENT & SOCIAL SCIENCE (IJARCMSS) [ Vol. 9 | No. 2 (III) | April - June, 2026 ]

Revolutionizing Grocery Retail Trade: A TCCM Analysis of Artificial Intelligence Applications

Sumi J. & Sreelakshmi M.

Artificial intelligence (AI) and technological ecosystems are revolutionizing the grocery retail industry by improving customer experiences, facilitating data-driven decision-making, and optimizing operations. Artificial Intelligence applications transform how grocery stores respond to changing consumer tastes and market demands with advanced tools like recommendation engines, inventory management systems, and predictive analytics. The study aims to analyze how AI-driven technologies change grocery retailing's operational efficiencies, customer engagement, and decision-making procedures using the TCCM (Theory, Context, Characteristics, and Methodology) framework. In this rapidly emerging domain, the study also seeks to identify research gaps and potential for the future by integrating framework-based analysis with a systematic evaluation of previous research to explore both academic and practical advancements. The major findings show that AI greatly improves operational efficiency by using predictive analytics and automation. Further, it enhances decision-making with real-time data insights and uses recommendation engines to personalize consumer experiences. Still, issues like low adoption in small-scale retail operations, high implementation costs, and data privacy concerns continue to be common. The study also outlines certain future research concerns, with a focus on interdisciplinary approaches and scalable AI solutions designed for small merchants. By utilizing the TCCM framework, the study provides deep insights into the convergence of grocery retail trade through the implementation of AI applications in the modern retail ecosystem.

Sumi, J. & Sreelakshmi, M. (2026). Revolutionizing Grocery Retail Trade: A TCCM Analysis of Artificial Intelligence Applications. International Journal of Advanced Research in Commerce, Management & Social Science, 09(02(III)), 129–144. https://doi.org/10.62823/IJARCMSS/9.2(III).8984
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DOI:

Article DOI: 10.62823/IJARCMSS/9.2(III).8984

DOI URL: https://doi.org/10.62823/IJARCMSS/9.2(III).8984

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