23 posts tagged with “supply chain planning”

Scotts Miracle-Gro's expanded supply chain AI partnership shows why AI planning only works when recommendations are measured against freight execution.

AstraZeneca's constraint-based planning transformation shows why complex supply chains can reduce buffer inventory by making capacity, material, and service constraints visible earlier.

Defense logistics AI will not improve readiness if demand signals, allocation decisions, inventory, and transportation execution still move at different speeds.

Organizations deploying AI-based forecasting are cutting Mean Absolute Percentage Error by 31% on average — and translating that accuracy into 20-30% inventory reductions. Here's what the numbers actually mean for your safety stock strategy.

AI can accelerate supply chain network optimization, but only when teams pair automation with clean data, modeling discipline, and scenario-planning skills.

AWG's RELEX forecast replenishment project shows why grocery wholesalers need AI planning connected to transportation execution, appointment scheduling, and exception workflows.

Amazon Connect Decisions shows how agentic AI is pushing supply chain planning beyond dashboards toward AI teammates, faster exception handling, and connected logistics execution.

BCG's February 2026 report reveals why supply chain teams investing heavily in AI are still stuck in the middle of the maturity curve—and what the operating system underneath has to do with it.

McKinsey says AI can cut inventory 20-30%. So why are most shippers still leaving those gains on the table? The answer isn't the AI — it's the visibility gap between what the data shows and what operations can act on.

BCG and McKinsey data show 62% of companies are actively restructuring supply chain networks in 2026. Here's what that means for your distribution strategy and how to act on it.