FreightWise Launches Kuebix AI, Ditches Rule-Based TMS Routing

FreightWise has launched Kuebix AI, an AI-enabled transportation management system built for shippers only, after roughly two years of redevelopment on a platform it bought from Trimble almost three years ago. The system, demoed at the F3 conference, replaces the rule-based routing algorithms that have driven TMS decisions for decades — and the company says the swap cuts build costs, cuts operating costs, and kills the false positives that plague traditional routing.

The target market is small and midsize businesses plus small-enterprise shippers who struggle to navigate contractual freight modes and translate orders into optimized shipments across LTL, parcel and truckload. The pitch is simple: one platform, order to pay.

"All across the board, AI has disrupted the algorithms that you need PhDs and coders to do of old," the FreightWise executive presenting at F3 said. "The same thing for the routing guide principles and rules — those are rigid and complex and tough to manage for planners. AI makes it conversational."

What changed under the hood?

The core engineering move swaps out hard-coded routing rules for AI models. FreightWise claims the new approach is cheaper to build and cheaper for shippers to run, and less prone to false positives — the phantom routing options that force planners to reject system suggestions and work around the tool.

The company had a head start on training data. "Once we built this application, we were really fortunate that we already had hundreds and hundreds of shippers on it and hundreds of millions of dollars moving," the executive said. "So it was able to learn and develop through that without replicating the problems of the old systems."

The standout feature is multi-stop truckload planning. A planner views multiple route options on a single screen — longer miles that protect delivery appointments versus shorter miles that cut cost but require rescheduling — then drags the preferred option into execution. FreightWise argues this ends black-box planning, the pattern where routers abandon the TMS the moment a suggested route is clearly unworkable.

Who built the carrier network?

FreightWise built its own carrier API network in-house after concluding that outsourced rating tools could not deliver the speed or breadth its clients needed. The company admitted the build was difficult, but says the network now speeds carrier onboarding across both its managed transportation service and the Kuebix AI SaaS product.

A middleware module, Kuebix Connect, handles the integration side. Business users map fields from ERPs, warehouse management systems and point-of-sale platforms to the TMS visually, and the AI writes the underlying integration code. That removes dedicated IT staff from routine data feeds — a real cost lever for SMB shippers with thin technical teams.

Where does the analytics go?

FreightWise Intelligence is positioned as more than a dashboard layer. The platform ingests data from order through ACH payment, dropping funds directly into carrier treasury, so analytics draw on one unbroken data set. Shippers no longer reconcile a separate freight audit and pay provider.

When a KPI drifts out of range, the AI surfaces a root-cause explanation on its own. That eliminates the analyst-to-manager investigation chain that standard BI stacks require before anyone acts.

What are the risks FreightWise itself flagged?

The executive named two. First, AI needs clean, accurate data to function — feed it garbage and it will produce hallucinations and false conclusions. Data-poor shippers face a genuine competitive disadvantage as the industry adopts these tools.

Second, FreightWise is deliberately keeping AI out of direct customer-facing support. Human account managers, the company argues, should handle shippers in a pinch — an unusual restraint in a market where chatbot support is the default cost play.

The company also admitted it delayed its own AI rollout by six to eight months past the original target. The reason: it wanted to avoid shipping chatbot-style features that created proof of concept rather than proof of value.

For shippers and carriers weighing the platform, details are available through Kuebix AI and freightwisellc.com. The broader signal for the freight tech market is clear: rule-based TMS optimization is now the legacy path, and the vendors sitting on years of live shipping data — not the biggest codebases — hold the training advantage.