Murex automates liquid bulk invoicing with AI

The $3.3 billion fuels marketing and logistics firm deploys SeekrFlow to process 15,000 monthly shipping documents—with projected annual savings of up to $2.5 million.

Key Highlights

  • Murex processes 10,000 to 15,000 bills of lading monthly across multiple transportation modes.
  • SeekrFlow's platform captures scattered document data and stores it in a searchable knowledge layer for quick access and reasoning.
  • The AI deployment is projected to eliminate between $1.5 million and $2.5 million in annual costs.

Murex, a liquid fuels marketing and logistics company with $3.3 billion in annual revenue, recently deployed SeekrFlow to automate invoice creation from bills of lading (BoLs) across its truck, rail, barge, and vessel operations.

Scheduling 40,000 trucks annually and operating a fleet of 5,000 railcars, Murex processes between 10,000 and 15,000 BoLs every month, according to Seekr Technologies. In the liquid fuels sector, every physical movement requires a BoL recording the origin, volume, and custody of the load. But these critical documents often arrive as scattered scans, photographs, and faxes in varying formats from dozens of terminals and carriers, creating a persistent invoicing bottleneck because loads cannot be billed until this information is captured.

To solve this problem, Murex turned to Seekr’s vision-model document ingestion and agentic reasoning platform.

“I spent two and a half years looking at this market, and Seekr is the most innovative and customizable solution I’ve seen,” Mauricio Ramirez, Murex chief financial officer, said in a news release. “What stood out was the flexibility—we’re not locking ourselves into one model or betting on which technology will win a market that’s changing by the day. We can use the models that make the most sense for our business, move quickly, and start creating real efficiencies for our team and our customers.”

The AI deployment extracts necessary billing data to automatically generate invoices, which is projected to eliminate between $1.5 million and $2.5 million in annual costs, the companies stated. Crucially, the system goes beyond basic data extraction: Every document is stored in a searchable knowledge layer, allowing AI agents to reason over the source material.

This enables logistics teams to quickly reconcile liquid bulk movements against contracts and trace any discrepancies directly back to the original paperwork—without manual searches.

“Enterprise AI is moving too quickly for companies to build their strategy around a single model or technology provider,” Seekr CRO Lloyd Cope said. “Murex understood that from the start. They wanted to move quickly and create meaningful efficiencies for their business and their customers, without sacrificing the flexibility to use the best models as the market evolves.

“That’s exactly what Seekr enables: A practical path to putting AI to work today without locking the business into the technology choices of yesterday.”

About the Author

Jason McDaniel

Jason McDaniel

Jason McDaniel, based in the Houston TX area, has more than 20 years of experience as an award-winning journalist. He spent 15 writing and editing for daily newspapers, including the Houston Chronicle, and began covering the commercial vehicle industry in 2018. He was named editor of Bulk Transporter and Refrigerated Transporter magazines in July 2020.

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