Inventory management in food and beverage manufacturing

Supply chains are operating in an era of permanent volatility, and static inventory planning models are struggling to keep pace. Rising financing costs, retailer OTIF pressure, supply disruption, shelf-life constraints, and unpredictable demand are making inventory decisions harder than ever before.​

This UiPath white paper explores how food and beverage manufacturers are using AI to move from reactive inventory planning to continuous inventory optimization. Discover how predictive AI, scenario planning, and agentic automation are helping organizations improve service levels, reduce waste, lower working capital exposure, and respond faster to disruption.​

What you'll learn:​

• Why traditional inventory planning models are breaking down in volatile supply chains​

• How AI enables more dynamic, SKU-level inventory decision-making across complex networks​

• How leading manufacturers are reducing waste, improving OTIF, and responding faster to changing demand conditions​

• How agentic AI helps close the gap between operational insight and execution​

Discover how food and beverage manufacturers are building more responsive, resilient, and operationally adaptive supply chains with AI-driven inventory management.​