Today’s supply chains are more interconnected and complex than ever before. Companies often turn to artificial intelligence (AI) for improved visibility, efficiency, and resilience. But many organizations have discovered that their AI initiatives have not lived up to lofty expectations. The real issue isn't always the technology, but the quality and usability of the data feeding these systems.
The data challenge in modern supply chains
Supply chains generate massive volumes of data, flowing from numerous systems, formats, and partners. According to research by IBM, around 80% of supply chain data remains unstructured and therefore difficult to analyze. This fragmented approach leads to significant operational problems. Inventory data, transportation schedules, and supplier information are often stored separately, creating blind spots for decision-makers who need real-time insights to respond effectively to market changes.