The logistics ecosystem is being transformed by the rise of connected vehicles equipped with IoT sensors and data-driven technologies. Connected vehicles, following standards like the SAE J3016, which defines the six levels of vehicle automation, are becoming a crucial part…
It is 2020; we now have reasonably accurate short-term weather forecasts. NOAA, the National Oceanic and Atmospheric Administration in the US, reports that the five-day weather forecasts are approximately 90 percent accurate, 80 percent for the next seven-days, establishing an…
Machine learning engines can take data on forecast accuracy and use that data to automatically improve the forecast model. However, three is a rub. Lost sales is a key piece of data on the accuracy of the forecast, but lost sales is generated with a demand forecast. This is circular reasoning. But that does not mean this analysis is without value.
Machine learning has become hot this year. Supply chain software suppliers are investing in improving their software's capabilities by using machine learning. But machine learning in supply chain software is not new.
How confident are you in your ability to predict future customer demand? How do external factors such as economics and weather influence that demand next month or next year?? If you’re uncertain how to account for changing demand, how can…
If demand management teaches us anything about learning to leverage the Big Data generated by sensors, it is that leveraging IoT data is likely to be a lengthy maturation process.
