117 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.

Evaluate AI logistics vendors by operational dependency, financial resilience, service capacity, data portability, and replacement lead time—not IPO valuation.

Replace static supplier lead times with governed AI estimates, confidence ranges, planner override rules, and outcome feedback that improve service and inventory decisions.

Connecting fleet telemetry to AI can uncover real savings, but carriers need role-based access, prompt logs, retention rules, and approval gates.

The Anthropic court decision shows why logistics teams need continuity tests for AI vendors, including portability, data retention, and manual fallback.

Agentic AI is putting enterprise software spend under scrutiny. Logistics software buyers need outcome proof tied to tenders, exceptions, dwell, audits, and service.

AI-equipped fleet cameras are turning video into operational evidence. Fleets need rules for retention, consent, claims, exceptions, and deletion before footage becomes noise.

Customers are asking third-party GenAI tools about delivery status, returns, duties, and exceptions. Logistics teams need governed shipment answers before AI fills the gaps.

Voice load search and agentic freight tools are compressing tender response, rate negotiation, booking, and carrier availability into live operating workflows.

Renfro's Inspectorio expansion shows why supplier compliance evidence now has to travel with shipment execution, not sit in a separate portal.