When you're dealing with hundreds of thousands or millions of logistics invoices, problems hide in plain sight. Anomalous behavior buries itself in the volume, and nobody catches it until it's already cost you. Think about your credit card statement and services like Rocket Money that find subscriptions you forgot about. When you find out what you've been paying for, it's awful. But you cancel them and move on. Now multiply that by a million. That's the logistics invoice environment. And without the right tools looking for those anomalies, they stay hidden.
Catching a $15 Million Problem Before It Happened
One of the things we've been rolling out at Trax is an anomaly detection function. The software looks for behavior that deviates from what's expected. When invoices or transactions start moving in a direction they traditionally haven't, that's a signal worth investigating.
We had a client who hired someone who was auto-approving spot quotes. From a SOX compliance perspective, the person had the authority to approve them. That part was fine. But the process required checking first to see if there was an existing lane or rate available. This person skipped that step entirely.
We caught it before it became a real problem. But when we modeled it out, had it kept going for even another 10 days, it would've been a $15 million problem for that company. Not a breakdown in authority or compliance. A breakdown in the process created enormous cost exposure very quickly.
Finding Patterns That Shouldn't Exist
The other area we focus on is same / similar analysis. The software looks for repeated transactions that don't make sense when you step back and look at them.
A one-pound parcel package going from a distribution center to a retailer. That transaction happens a thousand times a day across 100 distribution centers. When you add that up, it becomes an astronomical expense. To be fair, it may not be a transport problem at all. It may be a picking problem upstream. But the software highlights it and says this is an area where you should be looking. Your 3PL may be doing their job. Your consolidator may be doing their job. But you may have a problem further up the chain that's creating a higher cost basis than anyone realized.
Why Most Companies Can't Do This on Their Own
The reason this kind of analysis is so difficult is the data itself. No two carriers format things the same way, and the information comes in across different lanes and modes globally. If you can't normalize that data first, you can't run meaningful analysis on top of it.
We're somewhat unique at Trax in that we've figured out how to normalize data across carriers globally across all lanes and modes. That gives us better access to information than most companies have on their own. And it's what makes anomaly detection and same similar analysis possible at scale.
Why This Matters Beyond Logistics
This isn't just a conversation for logistics leaders. If you're in finance, you should be fired up about this. The ability to scan millions of documents and flag cost anomalies automatically affects the bottom line directly. AI has started to unwind the ball of yarn that is data and identify areas where money is being lost or spent inefficiently. There's no reason we can't do this across millions of logistics invoices. And the companies that do are going to find money they didn't know they were losing.
Wondering what's hiding in your logistics invoices? Check out our resources to see how Trax helps companies uncover hidden costs, or get in touch with our team today.