Drayage Data
Buy and sell drayage data data. Short-haul moves from port to warehouse with wait times, chassis costs, and per-diem charges. The most chaotic part of intermodal logistics.
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What Is Drayage Data?
Drayage data covers the short-haul movement of containers from ports to warehouses—the most operationally complex segment of intermodal logistics. This data captures real-time visibility into drayage operations, including wait times at ports, chassis costs, per-diem charges, and labor coordination challenges. The drayage segment has historically operated with antiquated systems and manual workflows, making accurate coordination between truckers and containers difficult. Modern digitization efforts now enable AI-powered platforms to track drayage movements, manage exceptions proactively, and streamline what has traditionally been a paper-based, labor-intensive process. Access to drayage data helps shippers, logistics providers, and third-party brokers optimize port-to-warehouse movements and reduce operational friction in the final mile of import logistics.
Market Data
$500,000
Annual cost savings from drayage digitization
Source: SupplyChainBrain
Industry average wage $25/hour plus benefits and turnover reduction
Basis for savings estimate
Source: SupplyChainBrain
Growing adoption of real-time visibility and AI-powered decision-making at docks and ports
Market shift in logistics technology
Source: FreightWaves
Who Uses This Data
What AI models do with it.do with it.
Port and Drayage Operators
Track container movements, manage driver-to-load matching, and reduce idle wait times at ports through real-time visibility platforms.
Third-Party Logistics Providers (3PLs) and Customs Brokerages
Leverage drayage data to coordinate shipments, manage compliance exceptions during transit, and optimize labor deployment across customs clearance and ground transport.
Shippers and Importers
Access end-to-end visibility from port arrival through warehouse delivery, enabling cost control and accurate shipment timing for just-in-time inventory planning.
Pricing depends on the proposed terms
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What Buyers Expect
What makes it valuable.valuable.
Real-time or near-real-time data
Drayage buyers require frequent updates on container status, wait times, and cost changes to enable operational decision-making and exception management.
Completeness and accuracy
Data must capture all relevant operational costs (chassis fees, per-diem, labor hours) and port-to-warehouse timing with minimal gaps or errors.
Integrated compliance and documentation
Alignment with customs clearance workflows and AI-powered exception detection so that inaccuracies can be addressed in-transit rather than at arrival.
Interoperability with logistics platforms
Data should integrate cleanly with third-party visibility dashboards, WMS systems, and TMS platforms to maximize industry adoption.
Potential applications and organizations
Who's buying.buying.
Operates drayage data expertise platform; partners with other logistics providers to share drayage insights across industry dashboards.
Global real-time visibility leader; acquired ClearMetal to strengthen predictive tools and expand drayage and port visibility capabilities.
Provides order automation and AI-powered landside solutions to help drayage operators move beyond manual, paper-based workflows.
FAQ
Common questions.questions.
What specific data points are included in drayage datasets?
Drayage data typically covers container wait times at ports, chassis availability and costs, per-diem charges for driver delays, labor availability and hourly rates, and port-to-warehouse transit times. Some datasets also include compliance exceptions detected during customs clearance and real-time visibility of trucker-to-load matching.
Why is drayage data considered the 'most chaotic' part of intermodal logistics?
Drayage has historically relied on antiquated systems, manual workflows, and paper-based coordination between truckers and port operators. Labor shortages, high turnover, unpredictable wait times, and cost volatility (chassis rental, per-diem) create operational friction that impacts both cost and reliability. Digitization and AI are now addressing these challenges.
How much can logistics providers save by adopting drayage data and digitization?
Industry estimates suggest annual savings of approximately $500,000 per operation based on reduced labor needs (estimated at $25/hour plus benefits), lower recruiting and training costs due to reduced employee turnover, and improved exception management that reduces costly delays and errors.
Which platforms or vendors are leading the drayage data market?
Key players include Terminal49 (drayage data expertise and sharing), Project44 (global real-time visibility with predictive analytics), and WiseTech Global's CargoWise Landside (AI-powered order automation for landside operations). These companies focus on moving the industry from manual, paper-based systems to automated, data-driven workflows.
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