AI Enabled Enterprise Architecture for Grocery Retail with Generative AI Personalization Marketing Intelligence and Low Latency Cloud

Main Article Content

Ravi Ramamoorthi

Abstract

AI-enabled enterprise architectures are transforming grocery retail by integrating generative AI personalization, marketing mix models, and low-latency cloud services into a unified, scalable framework. Generative AI enhances customer engagement through personalized product recommendations, dynamic promotions, and context-aware offers, while marketing mix models optimize pricing, inventory, and promotional strategies across multiple channels. Low-latency cloud-native services, supported by microservices, serverless computing, and real-time data pipelines, ensure rapid processing of transactional, behavioral, and inventory data to deliver seamless retail experiences. This architecture empowers grocery retailers to achieve operational efficiency, adaptive decision-making, and enhanced customer satisfaction while maintaining scalability, resilience, and data-driven innovation in competitive markets.

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How to Cite

AI Enabled Enterprise Architecture for Grocery Retail with Generative AI Personalization Marketing Intelligence and Low Latency Cloud. (2025). International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 8(6), 13235-13243. https://doi.org/10.15662/IJRPETM.2025.0806027

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