IBM is bringing artificial intelligence and blockchain technology to bear on supply-chain management — with a twist.

As consumers become more eco-conscious, they push brands to adopt more sustainable practices. Many have responded by increasing their reliance on returnable industrial packaging.

Multi-party cyber incidents threaten to have a far greater impact than those affecting single companies.

In a complex modern-day global supply chain, how can companies assess which suppliers present the highest level of risk to business continuity? And how can they begin to implement effective risk-management programs based on end-to-end visibility?

It’s hard enough shoring up cybersecurity within the walls of your own business. But doing the same for the army of partners that makes up a global supply chain? That can be next to impossible.

Retailers are launching new programs and collaborative efforts to improve customer experience in last-mile delivery.

The potential downside of automation in the warehouse isn’t just about the number of human jobs that it’s poised to erase.

Fuel and freight make up nearly two-thirds of logistics costs. Supply-chain and logistics managers need to optimize those costs to improve the bottom line.

The rise of smart factories promises to impact the future of manufacturing in emerging economies.

Digital network platforms and advanced analytics are making it possible for logistics providers to achieve unprecedented levels of visibility and collaboration, enabling true end-to-end supply chains.