#data-quality
(6 articles)Why AI Logistics Pilots Fail: The Data Quality Crisis
The freight technology industry faces a fundamental disconnect between AI marketing claims and operational reality. While vendors pitch AI-driven dashboards, ETAs, and automation across virtually ever
AI Agents Need Context to Succeed in Freight Operations
AI adoption in freight logistics is accelerating, but raw algorithmic capability means little without proper contextual grounding. project44's approach demonstrates that successful AI implementation r
90% ETA Accuracy Myth: What Visibility Tools Miss
Supply chain visibility vendors have marketed a standardized 90% ETA (estimated time of arrival) accuracy metric for years, repeating the figure across sales presentations, RFP responses, and conferen
Mexico's August 1 Customs Overhaul Threatens Supply Chains
Mexico's mandatory electronic customs value declaration (MVE) system launches August 1, 2024, shifting from paper-based to digital filing requirements. This regulatory modernization is expected to exp
EU De Minimis Threshold Removal: What Retailers Must Know
Beginning July 1st, the European Union will terminate its de minimis threshold—a long-standing exemption that allowed shipments below a certain value to bypass standard customs duties and declarations
Forwarders Win With AI: Start Building Strong Rate Data Now
The freight forwarding industry stands at an inflection point as agentic AI moves from niche adoption to mainstream deployment. Gartner's forecast projects enterprise adoption of agentic AI in supply