How AI will evolve supply chains from better plans to better outcomes

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For years, supply chain leaders have been advancing integrated business planning. It has created a flurry of informative dashboards and smart plans, but that hasn’t necessarily translated into business outcomes.

The real problem isn’t the forecast or the supply plan itself. The problem is that decisions built on that data are made in silos. A forecast is not an outcome. Someone still must decide how to meet demand, manage a shortage, prioritize an order, or balance service against cost. And right now, those decisions are made separately by finance, planning, procurement, logistics, and customer-facing teams, each optimizing for their own objectives rather than a shared one.

That fragmentation is the real challenge. These decisions touch so many different domains and stakeholders that, without a way to connect them, organizations end up solving for the function rather than the whole. Until companies bridge that gap, not just within the enterprise but...

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