#data-quality
(13 articles)Avianca Cargo and Kuehne+Nagel Win Cargo iQ Quality Rally
Avianca Cargo and Kuehne+Nagel have been recognized for winning the Cargo iQ Quality Rally in Frankfurt, cementing their commitment to standardized shipment tracking and operational excellence in air
AI Agents in Commerce Face Invisible Risk: Data Gaps
The use of AI agents to shortlist products for shoppers introduces a hidden but significant risk: incomplete data can cause these systems to make suboptimal recommendations or miss inventory, resultin
AI Won't Fix Forwarder Margins Without Clean Data and Processes
Freight forwarders are discovering that artificial intelligence alone cannot address margin erosion caused by operational inefficiencies. According to insights from Metro Shipping and Portcast, core p
AI Won't Fix Forwarder Margins Without Better Data and Processes
Freight forwarders cannot expect artificial intelligence to solve margin erosion problems without first addressing foundational data quality and process issues, according to industry leaders Metro Shi
AI moves into 3PL operations, but data quality barriers persist
The 2027 Third-Party Logistics Study, released by the Council of Supply Chain Management Professionals, reveals that artificial intelligence is transitioning from pilot projects into active operationa
IATA Alerts: Data Gaps Leave Forwarders Unable to Catch Dangerous Goods
The International Air Transport Association (IATA) has highlighted a critical vulnerability in global cargo safety: forwarders and airlines cannot effectively identify undeclared or hidden dangerous g
Critical Supply Chain Data Errors That Disrupt Operations
Data quality remains one of the most underestimated yet consequential challenges in modern supply chain management. Poor data collection, inconsistent formatting, and inadequate validation procedures
Why Freight AI Needs Better Data Before It Works
The article explores a critical gap in freight AI implementation: the prerequisite role of data quality and transportation control systems before artificial intelligence can deliver value in freight o
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
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