The air cargo industry continues to struggle with data quality issues that drive up operational costs and serve as the primary barrier to meaningful AI adoption, as highlighted by Air Cargo News. Despite years of digitization initiatives, the quality of data flowing through air cargo systems remains inconsistent and unreliable.
The cost of bad data
Poor data quality manifests in multiple ways across the air cargo supply chain. Incorrect weight and dimension data leads to revenue leakage for carriers. Inaccurate commodity descriptions trigger unnecessary customs inspections. Wrong address or consignee information causes failed deliveries and additional handling.
The cumulative financial impact is substantial — industry estimates suggest billions of dollars are lost annually to data quality issues across the global air cargo industry. These costs are ultimately borne by shippers through higher rates and service charges.
Why air cargo data is problematic
The air cargo supply chain involves numerous handoffs between different parties, each using their own systems and standards. A single shipment might be touched by a shipper, a forwarder, a ground handler, a carrier, a destination handler, a customs broker, and a delivery agent. Each handoff is an opportunity for data degradation.
Manual data entry remains pervasive. Despite the availability of electronic data interchange (EDI) and API-based integration, a significant percentage of air cargo data is still typed into systems from paper documents, with all the transcription errors that entails.
The AI barrier
AI tools require clean, consistent, and structured data to produce reliable results. The current state of air cargo data makes it difficult to deploy AI effectively at scale. Machine learning models trained on noisy data produce noisy predictions. Natural language processing applied to inconsistent document formats generates inconsistent outputs.
The companies making the most progress with AI in logistics are those that have first invested in data standardization, validation, and quality monitoring — building the foundation before deploying advanced analytics.
The path forward
Industry initiatives like ONE Record (an IATA standard for air cargo data) aim to create a standardized data backbone for the industry. Adoption is growing but remains uneven.
At ASR WorldWide Express, we have invested in a standardized data infrastructure that ensures consistency across our tracking, documentation, and notification systems. This data foundation enables accurate real-time tracking and reliable service for our clients.
Contact us at shipping@asrwe.com or +1 786 373 3003.
