Transforming unstructured logistics data into pure EBITDA for a $5B Transportation Infrastructure PortCo.
Revenue Recovered
$2M
EBITDA Expansion
100 bps
Reduced Invoice Processing
90%
In the highly fragmented transportation and logistics industry, revenue leakage is a silent killer. For this $5B Private Equity portfolio company, the sheer volume of unstructured data—ranging from scanned bills of lading, disparate toll logs, inconsistent fuel receipts, and complex tiered vendor contracts—created massive operational drag.
Condensed Matter was brought in by the operating partners to conduct a strict Data & AI Diagnostic. We identified that the business was losing 1-3% of top-line revenue simply because human billing teams were only semi-autonomous and could not consistently cross-reference complex contract SLA terms against the chaotic, real-time data correlated with their logistics assets. The data could not be easily tied to billing.
We didn't just automate their bad processes; we fundamentally re-architected their operating model. Our Forward Deployed Engineering (FDE) team built and integrated custom Agentic AI workflows directly into their billing system.
The AI agents were trained to ingest disparate logistical data from customer interactions, port authority reporting, and ocean carrier freight logs using OCR, instantly interpret the terms of the specific vendor contract using custom tuned LLMs, and autonomously flag billing discrepancies without human intervention. The system effectively acted as a frictionless, high-speed auditor scanning millions of transactions per day.
"Condensed Matter transformed our ways of working by reducing the opportunity cost of our existing data workforce, allowing them to focus on more complex tasks. The outcome of the work is tracking towards a clear margin expansion."
— Operating Partner, $5B PE Sponsor
