How to Turn Freight Data into Audit-Ready Scope 3 Reporting with Michael Rentz

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In "How to Turn Freight Data into Audit-Ready Scope 3 Reporting", Joe Lynch and Michael Rentz, Chief Revenue Officer at Gnosis Freight, discuss how operational-grade logistics data automatically simplifies complex carbon compliance. About Michael Rentz Michael Rentz is the Chief Revenue Officer at Gnosis Freight. He joined the company in the Summer of 2020. Before joining Gnosis, he got his start in the industry with the South Carolina Ports Authority and Maersk. He left Maersk in 2018 to pursue his own endeavors, which eventually led him back to Charleston, SC, where he worked for Techstars in an attempt to stand up the first-ever Supply Chain and Logistics Accelerator. The pandemic put an unexpected halt to that, and it was then that he fortuitously met Austin McCombs (CEO/Founder of Gnosis) and Jake Hoffman (CTO of Gnosis). About Gnosis Freight Gnosis Freight is the AI-native Global Freight Operating System for enterprise supply chains. It gives logistics, operations, and finance teams real-time insight into container movement and helps them Intervene earlier when delays, inventory risk, or cost exposure arise. By linking containers to SKU- and Inventory-level detail, Gnosis enables smarter planning, improved product availability, and more predictable business performance. Powered by continuously reconciled container Intelligence, Gnosis orchestrates exception management through configurable, low-code workflow and agentic AI across logistics, finance, and operation – reducing demurrage and detention, accelerating invoice resolution, and shortening goods-to-cash cycles. Headquartered In Charleston, SC, Gnosis serves global enterprises across retail, manufacturing, and logistics-intensive industries. Learn more at gnosisfreight.com. Key Takeaways: How to Turn Freight Data into Audit-Ready Scope 3 Reporting In "How to Turn Freight Data into Audit-Ready Scope 3 Reporting", Joe Lynch and Michael Rentz, Chief Revenue Officer at Gnosis Freight, discuss how operational-grade logistics data automatically simplifies com