Key metrics
25,000
Loads tracked per month, end-to-end
10×
Task throughput versus human team capacity
6 weeks
From kickoff to production for all 6 primary agents
6-figure
Estimated annual ROI in operational savings
Products
"What sets this partnership apart is that we didn't buy a product off the shelf. We co-built a multi-agent system purpose-built for our operations. HappyRobot's team embedded with ours, beat every sprint milestone, and delivered a 10x task multiplier without adding headcount. That's the kind of velocity you get when your AI vendor operates like an extension of your team.”
SVP AI & Data Science
Arjun Srinivasan
About WWEX Group
WWEX Group is one of the largest freight brokers in the United States and the second-largest privately held freight brokerage in the country. Operating from its Dallas headquarters and a network of more than 50 offices across the U.S. and Mexico, WWEX Group manages tens of thousands of carrier relationships and hundreds of thousands of loads each year.
GlobalTranz had been the product of years of M&A, including multiple acquisitions in a short period, and had its own technology stack, processes, and culture. When WWEX Group brought everything together, SVP of Truckload, JJ Lewis, and VP of Truckload, Brian Andalman, along with their teams, did not inherit just a business; they inherited a mandate: consolidate, modernize, and lead. That mandate came during the peak of post-COVID freight rates, quickly followed by a sharp market correction. Choosing to invest in AI during this downturn was deliberate: instead of simply cutting costs, Brian's team saw an opportunity to build efficiency when the market was slow, aiming to be prepared for the recovery.
Opportunity
When Brian began consolidating WWEX Group’s direct truckload operation, the scale of the manual workload became clear. Carrier sales reps were fielding hundreds of inbound calls. Track-and-trace teams were manually checking every load at every stage, dispatched, en route, delayed, delivered, across thousands of shipments a month. Every exception lived in someone’s email, or a Teams thread, or a personal spreadsheet, and “The goal was never to remove people,” Brian says. “It was to make them superhumans. There is an aspect of this business, relationships, judgment, and escalations, that AI hasn’t learned yet. We wanted to give our team a partner that could handle the volume, so they could handle everything else.”
He flew to San Francisco with Jonathan Drouin, VP Product, Strategy and Design, specifically to evaluate the emerging field of AI vendors in freight. They met with several. What set HappyRobot apart wasn’t marketing; it was a live demo of a carrier call and the way the AI adapted in real time. “HappyRobot was extremely impressive, proving that even in a short amount of time, they were the right partner for us,” Brian recalls.
The relationship with founders Javi and Pablo and the forward-deployed engineer Taher became the deciding factor. WWEX Group wasn’t looking for a packaged product. They were searching for a team that would build alongside them, and say yes to problems no one had solved yet.
Solution
The teams explored several places to get started, from carrier sales to load booking workflows, but ultimately landed on track and trace. It was the right fit: high volume, highly repetitive, and deeply consequential. Every load has dozens of touchpoints, and missing one can lead to a missed pickup, a late delivery, or a breakdown in customer trust. If AI could own that layer, the team could focus on everything that actually required human judgment. Brian turned to Wilson Kang, Senior Manager of Truckload Support, to lead the effort internally and help HappyRobot develop a roadmap. That decision is where everything changed.
“In the first full month of all six agents running, HappyRobot completed 50,000 tasks. One human doing the same work would have done 5,000. That’s a 10x multiplier - on a team that didn’t get any bigger,” Brian explains. Track and trace in full truckload is unglamorous but mission-critical. Every load has problems. Pickup numbers are wrong. Drivers are running late. Shippers don’t have the product ready. The team’s job is to know where each load is, at every moment, and respond before things break down. Our first attempt to automate this didn't work; the initial target customer had too many unique characteristics. Rather than abandon the approach, the group reconvened. They broke the load lifecycle into six distinct stages, set two-week sprint milestones, and rebuilt from scratch.
HappyRobot beat every sprint. In six weeks, the system was live, handling dispatch confirmation, pickup arrival and departure, in-transit monitoring, delivery milestones, and proof-of-delivery collection across thousands of loads per month. WWEX Group’s offshore track-and-trace team was lifted and shifted from reactive call-taking to true exception management across other departments.
Impact
WWEX Group and HappyRobot have built an end-to-end AI solution purpose-built for freight operations, with full observability and event management across multiple TMS systems. This spans the full load lifecycle, from automated track and trace through exception management and customer visibility, all integrated into a unified operational layer.
Six AI agents automate the load lifecycle for thousands of loads monthly, with a custom-built interface with real-time data that mirrors WWEX Group’s TMS, with issue tracking and AI alerts, all integrated securely. HappyRobot’s agents work across phone, text, and browser agents that log into different portals the same way users would, helping with track and trace. Track-and-trace staff now focus on managing exceptions and higher-value work, scaling to 120 users across carrier sales, track & trace, and customer success. "Having a one-stop shop to see what's happening throughout the life cycle of every load, that's the difference between reactive and proactive," Brian states.
The transformation at WWEX Group goes beyond efficiency metrics. It is structural. The company has moved from a model where human capacity was the ceiling on what was possible to one where AI handles the volume, and people handle the work that actually requires them.
What WWEX Group and HappyRobot have built defies the typical vendor-customer dynamic. WWEX Group didn’t buy a product. They co-built a system, and in doing so, created something neither party could have designed alone.
What's Next
WWEX Group came in through one door and ended up rebuilding how they operate. The expansion isn't slowing down, it's moving into new parts of the business, with more teams asking when it's their turn.