Supply Chain

Artificial intelligence can be used to quickly gather and analyze massive amounts of data flowing from a large number of sources. As a result, AI in the supply chain is a prime candidate for the tech investments that can move the needle in improving business performance.

There’s no shortage of AI logistics use cases, whether it’s through demand forecasting, enhancing warehouse efficiencies, or improving route planning. In all of these cases, AI in the supply chain can translate to streamlining, predicting, and automating key aspects of logistics operations. 

Lack of real-time inventory visibility was chosen by retailers as the top priority of “high importance” that needs to be resolved through technology upgrades or implementations, making it a prime use case for AI in the supply chain.   

While AI in the supply chain is far from a magic salve, both it and IoT can deliver an elevated level of visibility into the supply chain.

Amazon reveals details of its first fully autonomous mobile warehouse robot.

Businesses across the world are increasingly recognizing sustainability as a critical element of their operations. From reducing environmental impact to improved margin expansion, organizations everywhere have embraced sustainable practices but how can they make sure these measures pay off?

The company’s new M0.0NSHOT hightop sneakers use specially sourced materials to achieve a carbon footprint of net 0.0 kg CO2. Allbirds is calling on the rest of the fashion world to copy its method, and is giving away the “recipe” for public use.

For Tyson Foods, the future of supply chain management depends on automated, near-real-time insights. Find out how the company is laying the foundation for a supply chain control tower as part of this goal.