Abstract: This framework provides a strategic governance model for the ethical deployment of Artificial Intelligence in the Retail and Consumer Goods industries. Driven by the Unified Latent Intelligence Philosophy (LIP), this policy advocates for a Prevention-First approach to consumer data analytics, personalized marketing, and automated inventory management. Key focus areas include: Algorithmic Fairness in Pricing: Preventing discriminatory dynamic pricing models that exploit consumer behavior patterns. Consumer Privacy Sovereignty: Ensuring that AI-driven "Consumer Intelligence" does not breach individual privacy rights through latent data harvesting. Ethical Nudging vs. Manipulation: Establishing boundaries for AI-driven recommendation engines to prevent predatory psychological profiling and "dark patterns." Autonomous Supply Chain Transparency: Harmonizing retail demand forecasting with ethical labor and sourcing standards. This policy is a crucial tool for retail executives, data privacy officers, and consumer protection advocates aiming to build long-term brand trust in an AI-saturated market.