Why Your Supply Chain Is Stuck Before It Starts

Supply chains sometimes experience problems before they even begin—not during end-to-end management, but at the outset. The core causes of failed supply chains are data silos, poor planning infrastructure, and a lack of process ownership. According to Gartner data, 62% of companies cannot access 40% of the data within their chain.

This situation seriously weakens forecast accuracy and inventory management in supply and demand planning. AI-based integration layers consolidate data flow between disparate systems, enhancing visibility. However, technology alone is insufficient; unclear process ownership prevents data from being used meaningfully.

In successful cases, companies redefine process accountability by linking each link in the chain's KPIs to one another. Digital twin-based modeling identifies bottlenecks at the beginning of the chain, optimizing resource allocation.

Ultimately, to prevent a supply chain from failing "before it starts," it requires corporate discipline and process ownership as much as data integration.

Key Points:
\n- Data silos cause the chain to become stuck before it begins.
\n- Gartner: Companies cannot access 40% of their data.
\n- AI-based integration enhances visibility.
\n- Lack of process ownership renders data ineffective.
\n- Digital twin identifies bottlenecks in advance.

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