Why Rare Earth Minerals Are Critical to the Supply Chain
Natural resources aren’t just about availability—they’re about accessibility and investment.
Natural resources aren’t just about availability—they’re about accessibility and investment.
AI is transforming manufacturing—but how can it be used wisely? In this Supply Chain Byte, Lisa Anderson breaks down the real value of AI and shares practical examples of how manufacturers can leverage it for efficiency, value and growth. Don’t just follow the buzz—learn how to make AI work for your business.
Lisa Anderson shares her thoughts on the outlook for supply chains in 2025.
AI rules at one of the world's most influential and largest technology conferences, the Consumer Electronics Show (CES). This year's event highlighted a diverse array of products designed to enhance efficiency, personalization and sustainability.
As business executives contend with heightened supply chain risks and inflationary pressures, artificial intelligence (AI) has emerged as a hot technology that can help to improve business performance.
Download Lisa's mid-year special report, FutureScape: Crafting Tomorrow's Supply Chain Today.
The medical device market is expected to grow by almost $178 billion from 2023 to 2027 according to Technavio. Moreover, a Fortune Business Insights Analysis estimates the market to reach $799 billion by 2030. With such significant growth, manufacturing and supply chains must scale and mitigate risk to ensure supplies to customers and patients.
According to UPS's CEO, UPS’ network flexibility gave it an edge over FedEx in landing a deal with the U.S. Postal Service. Instead of following a hub-and-spoke model to service the USPS, UPS can use its regional gateways to support the local and regional requirements of the USPS customers.
Enterprise resource planning systems, CRMs and other tech such as RFID, barcoding, customer and supplier portals, blockchain, IoT, and GPS tracking all support this goal.
According to Polaris Market Research, the market size of artificial intelligence (AI) in manufacturing is predicted to grow more than 41% during the next decade. Although the latest Sikich Industry Pulse found that less than 20% manufacturers have started to implement AI [...]