IQAX Launches eBL Pilot with Tianjin Consol and EZShipping

Jun 18, 2026
IQAX has begun a pilot with Tianjin Consol and EZShipping to deploy a blockchain-based electronic Bill of Lading system aimed at improving efficiency in high-volume less-than-container-load shipping operations.

IQAX has begun a pilot with Tianjin Consol and EZShipping to introduce a blockchain-based electronic Bill of Lading (eBL) system for less than container load freight operations, announced in a press release.

The pilot integrates IQAX's eBL and its IQAX One platform, which combines digital documentation, data, and workflow orchestration. Tianjin Consol is using the solution as a web-based service without modifying existing IT infrastructure. This setup allows shippers, consignees, and partners to join the bill of lading process online, accelerating document circulation and improving cargo release coordination.

EZShipping's AI document processing is combined with IQAX's eBL issuance to create a fully digital workflow from data submission to bill of lading transfer. The system is designed to reduce documentation friction, enhance cargo control, and streamline high-volume operations. IQAX stated that the pilot demonstrates how eBL can be applied at scale in LCL shipping, supporting broader adoption of digital documentation across the logistics sector.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Finance AI Weekly, Industrial AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Industrial AI Weekly

The latest advancements in smart manufacturing, predictive maintenance, AI-driven quality control, supply chain & more.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.