At the risk of oversimplifying, supply chain excellence starts—and ends—with visibility, but not just any visibility. The concept of true visibility has evolved over time as supply chains have become more complex and digitized.
The short answer is “yes” but it doesn’t depend on AI or any other cutting-edge technology. Instead, it depends entirely on the quality of data fed into a system. With clean data and a clear vision, true visibility is a possibility.
Big Data has been referred to as the oil of the modern economy, and nowhere is this more apt than in global logistics. It takes a lot of data to power supply chain insights across a global network of thousands of touch points.
Anyone with a basic understanding of black holes is aware of their paradoxical nature: You can’t see them, but you can see the effect they have on surrounding objects.
Machine learning’s ability to refine massive quantities of data for deeper analysis will thrust supply chain visibility into the realm of mainstream adoption.
Data is both the biggest problem and the biggest opportunity in supply chain. Disorganized data, latency, and glitches have caused headaches for top-floor executives, frontline employees, and everyone in between for years. ClearMetal’s proprietary AI and Machine Learning technology organizes data and makes it “smarter”, allowing for supply chain companies to experience game-changing digital transformations.
Gartner just recently published its Cool Vendors in AI for Supply Chain report, recognizing ClearMetal as a leading supply chain visibility provider for its AI and machine learning capabilities. Ironically, it wasn’t predictive analytics or end-to-end visibility capabilities that garnered the accolades; rather, it was the work ClearMetal is doing to solve the supply chain “data problem” that caught the analysts’ eyes.
Digital transformation has become a central theme in the supply chain and logistics industry. Again and again, digitization and data are the most discussed topics at industry events, panels and networking conversations. Amongst the optimism and excitement, we are challenged to find transformation success stories.
There is no doubt that supply chain success is synonymous with operational excellence. The more efficient, agile, and responsive a supply chain is the better it performs and the more satisfied customers are. However, the key to an agile supply chain is to be data-driven, and for this, good data is necessary. Good data provides better visibility which in turn provides better insights for better decisions.