Analyst Report: IDC Defines Predictive Logistics

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Increasing complexity continues to be a leading topic among supply chain executives. For many, the solution to this challenge has been to deploy modern technology in hopes of improving the ability to make sense of what is going on across the supply chain. However, this approach has resulted in an increase in complexity for most supply chain environments.

As technology has proliferated across the supply chain, the amount of data available about the operation has increased drastically. While there is more data available, the traditional challenges of siloed data, dirty data, and unstructured data continue to plague supply chains and their related operational systems. Dropping modern supply chain applications into such environments does not necessarily help solve the problem; in many cases, it compounds the data issue.

These challenges are especially prevalent relative to logistics because the logistics function touches internal and external business processes. This paper examines the challenges around data and complexity in the supply chain and looks at predictive logistics applications and how they can help manage complexity and drive value. The paper also looks at the role of predictive logistics vendor ClearMetal in this critical supply chain market.

Kyle Henderson