Adexa’s Machine Learning Predictor, GENIE©, is designed to predict inefficiencies in the supply chain as well as identifying the main causes of late orders. In its analysis, GENIE© examines not only the internal data but also exogenous data such as weather, season, supplier or customer locations and many others.
Supply chains need to be digitalized to become resilient not to just react and respond. Predicting potential issues and being ready is very different from virtually running around performing what-if this and what-if that!
I am Genie, Adexa Intelligent Agent. I can autonomously perform dedicated functions in the supply chain and beyond. We are kind of like white collar robots. We can monitor everything that is going on in the supply chain and tell you things that are going wrong.
Covid-19 has been a good lesson for most companies to bring to surface the vulnerability of their supply chains. However, we have many other events including recent tariffs and trade wars, economic downturn of 2008, and tsunami in Japan.
Gartner is advocating composable business architecture for real-time adaptability and resilience in the face of uncertainty. One of the major components of such an architecture is composable technology.
Looking back over the past few decades there is every indication that more intelligent robots will be replacing jobs. Most of the jobs lost in the past have unfortunately been lower skill jobs in manufacturing.
Thanks to Covid-19 almost every supply chain is being re-examined to become more resilient. But there is only so much you can do! There are external factors over which you have no control such as demand changes, up or down, tariffs or dock worker strikes!