By emphasizing digitalization, predictiveness and autonomy, new levels of success in speed, accuracy, service and revenue can be realized. 

Supply chain leaders are expected to increase investment in technologies over the next two years, but they must prioritize what they want to implement, says Carly West, senior director analyst at Gartner.

Tom Moore and Keith Moore, CEOs of, respectively, ProvisionAi and Autoscheduler.AI, talk about how AI is helping to solve problems in supply chains — and where it's more a matter of hype.

Organizations are struggling to secure the labor, knowledge workers and leaders they need to thrive — and logistics and supply chain-focused businesses have been hit particularly hard.

Each facility will be twice the size of a traditional distribution center, with automated retrieval systems that move them to dense pallets that are then delivered to stores.

The rate of expansion in warehouse automation technology presents ample opportunities as well as new challenges. For stakeholders, that translates into a massive landscape of choice.

According to the Bureau of Labor Statistics, the overall annual turnover rate for warehousing, transportation and utilities is a massive 53%.

Are robots that are modeled after the human form the best choice for warehouse operations?

Regardless of the size or age of a warehouse, person-to-goods (P2G) robotics is better for warehouse functionality than goods-to-person (G2P), says Kait Peterson, senior director of product marketing at Locus Robotics.

The integration of artificial intelligence and automation has become a foundational investment for businesses operating in the increasingly volatile world of supply chain and logistics.