84% of Loads. Zero Human Touches.

At a managed services brokerage in the retail and food-and-beverage space, 84% of loads now move through the post-booking lifecycle without a single human touch. An AI agent handles over 93% of all carrier messages. The only loads a person has to deal with are the genuine exceptions, the ones that actually require judgment.

That brokerage is Kingsgate Logistics, and what happened there is worth understanding, because it says something important about where freight operations are headed.

Every AI vendor in freight has the same pitch right now. Scale 10, 15 percent without hiring more people. Brokers nod along because it sounds responsible, sounds like good business, and because the alternative — admitting that the real problem isn't headcount — is harder to talk about.

Most brokers running real volume aren't lying awake worrying about whether they can afford another rep. They're staring at a stack of quotes they never got back to, a carrier they haven't called in six months, and a list of things they want to accomplish that keeps getting buried under the things they have to do before noon.

Walk onto most ops floors and watch what happens for an hour. The tracking reps you hired and trained and wrote SOPs around are spending their mornings confirming arrivals and reviewing tracking portals. They're chasing carriers to get on tracking in the first place, then following up on loads that are already moving to make sure nothing slipped. They are babysitting freight. And the work they were actually trained for — the truck that broke down at 11pm, the appointment reschedule before a customer finds out, recovering a load when a pickup goes sideways — sits in the queue while they confirm that a truck that left an hour ago is still moving.

This plays out in the numbers. Great Lakes Transport, a 3PL out of Buffalo, had a visibility vendor that could only track 56% of loads. Nearly half of all freight was moving blind. Their ops team was spending hours every day on manual check calls for loads their existing technology should have been handling, and every new customer account added complexity to a system already straining.

Carrier reps have a version of the same problem from a different angle. The people who should be building relationships and locking in capacity are instead entering driver and equipment information into the TMS, following up after a load is booked to confirm the truck will make it, running through customer-specific SOPs that require memory and attention, and time they don't have. When capacity is tight, and you have to cover a load, you need a seasoned carrier rep on the phone — a human being who knows the carrier, understands the pressure, and can sell the load when there's nothing easy to offer. That skill is being burned on check calls, every day, at almost every mid-market brokerage in the country.

Nick Lisena, operations manager at Kingsgate, watched this exact dynamic erode his operation from the inside. Kingsgate's entire value proposition is built on visibility and tracking compliance — customers pay for it. Their previous platform required carriers to download an app or connect an ELD, and neither worked reliably. When compliance broke down, a rep had to chase it manually. Lisena built a detailed process. His tracking reps followed it faithfully for about six months, and then workload pressure set in, steps got compressed, and loads went untouched. The gap between what customers were sold and what they actually received widened quietly, underneath everyone.

This is how it happens at most brokerages. Not dramatically. Gradually, under pressure.

When Kingsgate deployed Chain's AI agent — configured with Lisena's exact cadence, language, and escalation rules, enforced on every load without variation — carriers that had fought compliance for months found paths through EDI and API integrations that removed the burden from drivers entirely. Within the first week, one of Kingsgate's account managers said it felt like three or four tracking reps had been added to the team overnight. Loads that weren't getting touched before were getting touched.

"It's already become integral," Lisena said. "It's going to scale with our business, and it scales affordably."

Great Lakes saw similar results after automating check calls and centralizing communication through Chain. Manual check calls dropped 85%. Tracking compliance went from 56% to 90%. Each team member reclaimed over 15 hours a week, and operational capacity grew 20% without a single new hire. "Chain helped us simplify our operations and focus on what matters most — building relationships with our customers and carriers," said Eric Schnirel, the company's president.

There's a story from the early 2010s that puts all of this in context.

Back in 2012, 2013 — tight market, capacity was king — the Coyote Logistics reps were known for being good. Not because they had better technology, but because they had time. They'd call a carrier, couldn't cover the load, and instead of hanging up, they'd say, okay, where are you trying to go? What days work for you? They'd work the problem days out, positioning freight and building relationships in real time. Carriers stayed on the phone because someone was actually working for them. Even when the rates didn't pencil, the relationship held, and that's what kept capacity flowing when the market was tight.

A carrier rep with seventeen open loads to babysit before noon cannot have that conversation. The operational overhead doesn't just raise cost to serve — it ends the relationship. And freight has always been a relationship business.

Logistics Group International is a useful example of what changes when that overhead disappears. LGI grew from $12M to $55M in revenue hauling freight most brokerages won't touch — over-dimensional, cross-border, multi-stop reefer, time-sensitive — and with 45 employees, that growth was crushing the ops floor. Communication was scattered across email, phone, TMS messaging, and apps that didn't talk to each other. Timestamps were entered manually into McLeod. Early-morning deliveries landed before anyone was online, and customers were already frustrated by the time the team logged in. After centralizing carrier communication and automating tracking, over 70% of loads now auto-update with arrival and departure timestamps, and tracking compliance sits above 95%. LGI handles more freight today than it did at half the revenue without changing headcount. What changed was what their people were doing with their time.

As the market starts to tighten again, capacity will flow to whoever has been present enough and consistent enough to actually build something with carriers before the crunch hit. That isn't possible while carrier reps are doing data entry, and it isn't possible while tracking teams are confirming arrivals on loads that are already fine.

A lot of AI vendors in freight are still months into proofs of concept with no measurable KPIs and nothing running on live loads. If your vendor is still in POC mode while brokerages like Kingsgate, Great Lakes, and LGI are operating in production, it's worth asking what exactly you're paying for.

The brokerages that moved first are building advantages their competitors can't easily close. The ones still waiting will spend the next two years trying to catch up.

Chain focuses on the coordination layer: automated check calls, proactive carrier outreach, real-time status confirmations, and multi-method tracking that meets carriers where they are. Chain is live in production with 70+ brokerages. Learn more at trychain.com