AI-Powered Inventory Management in S/4HANA

Inventory planning has run on the same rhythm for decades: an overnight batch job, a morning review, a forecast you hope holds. In S/4HANA, that rhythm is being replaced.

AI is now embedded directly in the planning engine, the warehouse, and the conversational layer planners use every day, from demand driven buffers that recalculate themselves to agents that can raise a replenishment order on their own.

This article looks at how those pieces fit together, and where a team already running S/4HANA can realistically start.

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