86 posts tagged with “ai”

2026 marked the year logistics technology moved from pilot programs to operating infrastructure. This retrospective covers the AI, automation, visibility, compliance, and resilience trends that reshaped freight, warehousing, and supply chain execution.

Quantum computing is no longer a theoretical exercise for supply chain leaders. DHL, IBM, and Volkswagen are already running live trials. Here's what logistics operators need to know about where the technology stands — and what to do while quantum solvers mature.

RELEX's 2026 survey shows 67% of supply chain leaders now running AI in live planning operations. Here's what that shift means for freight forwarders and logistics operators building their TMS strategy.

BCG's February 2026 report reveals why supply chain teams investing heavily in AI are still stuck in the middle of the maturity curve—and what the operating system underneath has to do with it.

McKinsey says AI can cut inventory 20-30%. So why are most shippers still leaving those gains on the table? The answer isn't the AI — it's the visibility gap between what the data shows and what operations can act on.

AI capabilities have never been stronger. So why are most supply chain planning transformations still failing to deliver? BCG and Gartner have the uncomfortable answer.

Lowe’s expanded Relex deployment shows why retailers are collapsing forecasting, allocation, and replenishment into one operating layer. The goal is not more dashboards. It is fewer stockouts, tighter inventory positions, and faster decisions across the network.

Retailer deductions are getting more frequent and harder to dispute as AI sharpens compliance enforcement. That turns ASN accuracy, labeling, routing, and proof-of-delivery quality into margin protection issues for logistics teams.

AI can accelerate planning and execution, but only if ERP, WMS, TMS, and supplier systems describe the same events, products, and exceptions the same way. Without a common digital language, companies scale noise instead of intelligence.

Third-party risk management is shifting from static quarterly reviews to continuous, AI-assisted workflows. Logistics teams that connect supplier, compliance, and operational data will make faster, more auditable decisions when disruption starts to form.