This whitepaper explains why Retail and CPG organizations must move from AI-assisted insight generation to AI-driven execution. It defines Agentic AI as goal-oriented digital workers that sense signals, reason with business context, act across enterprise systems, and learn from outcomes. The paper contrasts agentic systems with RPA, predictive AI, and generative AI, then shows why they matter in retail: reducing execution latency, improving service, operationalizing siloed intelligence, and enabling continuous optimization. It also outlines practical use cases, including autonomous merchandising and multilingual in-store engagement, and proposes a five-pillar framework covering decision-centric design, outcome-based autonomy, cross-functional execution, human collaboration, and governance.

Join for free to read