Harlo is an AI freight coordinator built for Logistics Alliance. It handles document ingestion, load validation, carrier matching, and exception routing automatically, so the team can focus on the work that actually needs them.
Freight confirmation used to mean a team of people, a stack of paperwork, and a process that slowed everyone down. Harlo runs it now.
The Challenge
Confirming a load at Logistics Alliance meant gathering written forms, pulling together supporting documents, and having multiple people review the same information before anything could move forward. Every step was manual, and every delay had a direct cost.
The longer a load took to confirm, the longer the company waited to get paid. Across hundreds of loads, that lag added up fast. The team was spending hours on repetitive, checkable work, with no way to scale without adding headcount.
Logistics Alliance needed to handle more volume, more accurately, without making the process more complicated.
The Worker
Harlo is an AI worker that runs the load confirmation process from start to finish. It uses AI vision to read and interpret load documentation, pulling out the details a coordinator would otherwise check by hand.
Everything runs through an integrated management system that connects each step of the workflow:
- Document ingestion. Harlo reads incoming load documents automatically, across formats. No manual data entry.
- Load validation. AI vision checks load details against requirements and catches errors before they cause delays downstream.
- Carrier matching. Load details are matched to the right carrier based on documented criteria, replacing the back-and-forth that slows things down.
- Exception routing. Loads that fall outside normal parameters get flagged and sent to the right person. The team only steps in when they need to.
The Impact
Gambit deployed Harlo within three months. The results were immediate.
Harlo processes hundreds of loads per day at a high accuracy rate, with an average processing time of three minutes per load. The confirmation cycle that used to slow down the entire operation now runs on its own.
Faster confirmations mean faster payment. The lag that was built into the old process is gone, and the team puts their time toward work that actually requires their judgment.
What's Next
With Phase 1 in place, Logistics Alliance and Gambit are building Phase 2: expanding Harlo's capabilities and developing a full logistics platform on top of the foundation already running. What started as a fix for one bottleneck is becoming the operating system for how Logistics Alliance moves freight.
We built Harlo to eliminate the manual overhead that was slowing the entire operation. Within three months of deployment, it was already processing hundreds of loads a day.
