
Design Thinking Makes Supply Chain Data Work
Design thinking in supply chain is emerging as a practical discipline for turning data science investments into decisions people actually trust. By anchoring analytics, digital

Design thinking in supply chain is emerging as a practical discipline for turning data science investments into decisions people actually trust. By anchoring analytics, digital

Toyota Motor Manufacturing Canada is introducing Agility Robotics’ Digit humanoids into its Woodstock, Ontario plant under a robots-as-a-service model to automate line-feeding and material handling.

Agentic AI in supply chain execution now acts directly in ERP, WMS, and TMS, closing exceptions and rebalancing flows without waiting for human keystrokes. The

Warehouse gamification is gaining traction as distribution networks wrestle with persistent labor shortages and rising service expectations. By wiring game mechanics into daily work, operators

AI in supply chain now demands sharper choices about where to deploy scarce capital and talent, not just more pilots. The edge will favor organizations

Supply chain decision making now defines competitive advantage as networks absorb tariffs, volatile demand, and frequent disruption. Yet an Indago survey of supply chain and

Ambient IoT supply chain tracking is turning reusable transport packaging from an unmanaged cost pool into a connected operational asset. By instrumenting pallets, bins and

America’s freight network runs on finely tuned handoffs that break down as soon as disruption hits, and the middle mile absorbs much of the damage.

Sustainability remains firmly embedded in packaging strategy, but companies are still struggling to operationalize smart technologies at scale. New data from RRD’s 2026 Integrated Packaging

Responses to Rootstock Software’s 2026 State of Manufacturing Technology Survey depict an industry that is still investing, but with sharper priorities. Manufacturers report measurable gains

Design thinking in supply chain is emerging as a practical discipline for turning data science investments into decisions people actually trust. By anchoring analytics, digital

Toyota Motor Manufacturing Canada is introducing Agility Robotics’ Digit humanoids into its Woodstock, Ontario plant under a robots-as-a-service model to automate line-feeding and material handling.

Agentic AI in supply chain execution now acts directly in ERP, WMS, and TMS, closing exceptions and rebalancing flows without waiting for human keystrokes. The

Warehouse gamification is gaining traction as distribution networks wrestle with persistent labor shortages and rising service expectations. By wiring game mechanics into daily work, operators

AI in supply chain now demands sharper choices about where to deploy scarce capital and talent, not just more pilots. The edge will favor organizations

Supply chain decision making now defines competitive advantage as networks absorb tariffs, volatile demand, and frequent disruption. Yet an Indago survey of supply chain and

Ambient IoT supply chain tracking is turning reusable transport packaging from an unmanaged cost pool into a connected operational asset. By instrumenting pallets, bins and

America’s freight network runs on finely tuned handoffs that break down as soon as disruption hits, and the middle mile absorbs much of the damage.

Sustainability remains firmly embedded in packaging strategy, but companies are still struggling to operationalize smart technologies at scale. New data from RRD’s 2026 Integrated Packaging

Responses to Rootstock Software’s 2026 State of Manufacturing Technology Survey depict an industry that is still investing, but with sharper priorities. Manufacturers report measurable gains