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White Paper on Data Pipeline Concept for Improving Data Quality in the Supply Chain

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WhitePaper_DataPipeline_Eng.pdf (application/pdf, 750.92 KB)

The supply chain of today is much more complex than it has ever been, yet the data flows are still built around traditional paper-based processes that no longer satisfy today’s requirements. The need for accurate, timely data through a supply chain is now a standard requirement from the commercial sector, yet the data provided by multiple parties is often re-keyed several times, typically open to interpretation or watering down to populate various types of documents that are passed between parties to support regulatory, financial or operational requirements. This is often done without consideration of where those documents will go or who will use them and for what purpose beyond the initial recipient.
This document-based approach does not adequately support today’s requirements. With the increased automation that businesses are implementing into their warehouses and the advancements made in artificial intelligence (AI) and predictive analytics, the quality, timing and accuracy of data is more important than ever.