19 posts tagged with “supply chain planning”

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.

AI capabilities have never been stronger. So why are most supply chain planning transformations still failing to deliver? BCG and Gartner have the uncomfortable answer.

WD-40’s rollout of Dynamics 365, Salesforce, and Atlas shows how supply chain transformation is shifting from isolated tools to AI-enabled process redesign. The lesson for shippers is clear: ERP modernization now needs governance, skills, and execution discipline, not just software replacement.
Another chip squeeze is building around AI-era demand and concentrated supply. The companies that move fastest on visibility, buffers, and premium freight planning will take less damage.

U.S. manufacturing is expanding again in 2026, but slower supplier deliveries, surging input costs, and softer order momentum are warning logistics teams not to confuse growth with stability.