One of the chief benefits of digitization is where it meets robotics in the form of robotic process automation. RPA, also known as software robotics, has the potential to transform daily and ongoing business processes by using automation technologies to mimic back-office tasks of human workers.
In a transportation and logistics context, location intelligence refers to technologies that aggregate supply chain data and apply machine learning to provide insights into the whereabouts and movements of assets, products, and human resources.
Global supply chain disruption is now into its third year. Building in resiliency, while also meeting customer expectations and service-level agreement (SLA) commitments for time-definite delivery, has highlighted a need for better visibility.
Manufacturers are keenly aware that a key component of supply chain management is ensuring the right maintenance, repair and operations (MRO) supplies are available for minimizing costly production downtime and ensuring on time and in full (OTIF) goals are maintained.
A new GEP white paper — Supply Chain Convergence in a Disruptive Environment — breaks down the study and its findings as well as highlights how technology can mend the gap through visibility and collaboration.