This white paper explains how retailers can move from fragmented data silos and monolithic systems toward modular AI microservices. Siloed customer, inventory, e-commerce, point-of-sale, marketing, and supply-chain data slows decisions, weakens personalization, complicates governance, and limits AI accuracy. Microservices break large applications into independently deployable components that can scale and embed recommendations, dynamic pricing, fraud detection, predictive analytics, and automation. This improves experimentation, resilience, time to market, and omnichannel consistency. The paper positions the shift as more than an IT upgrade: it creates a composable foundation for generative and agentic AI, real-time engagement, smarter operations, and continuous retail innovation.

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