Major themes that persisted throughout the year included applying analytics to supply chain problems, mainstream use of AI, and infrastructure to access data.
Topic: Supply Chain Management
How real-time analytics is used to optimize supply chain and inventory control.
Retailers are using end-to-end return management systems to successfully execute reverse logistics and grow brand loyalty amid the busy holiday shopping
Companies are trying to address supply chain challenges by leveraging cutting-edge technologies including robotics, edge computing, and artificial
Harmonizing supply chain management analytics will put organizations on a path to automating their
IoT data in transportation combined with machine learning and artificial intelligence can help make a supply chain transparent and
At the heart of the supply chain digital twin development lies a flexible supply chain simulation model that is data-driven and
Those who adopt a technology-led recovery strategy now will avoid shortages this
The advantage with digital twins is that they not only predict breakdowns in supply chains but also use AI to figure out a
Companies need to be better about verifying their supply chains and ensuring that each vendor they're working with is sufficiently
The bid for the linear economy to go circular is gaining momentum. Having operations and processes built around sustainability practices is beneficial for the …