IN Brief:
- Kuebix AI consolidates FreightWise and Kuebix transportation management technology under one product roadmap.
- New features address driver hours, multi-stop routes, freight audit exceptions and software integration.
- FreightWise managed transport customers have migrated, while other Kuebix upgrades continue into 2027.
FreightWise has introduced Kuebix AI as a common transportation management platform, combining functions previously developed in FreightWise TMS and the Kuebix product acquired in 2023. Announced on 20 October, it covers truckload, less-than-truckload and parcel workflows, with AI-assisted planning, freight audit and integration tools. Managed transportation customers have begun using the consolidated platform, while upgrades for the remaining Kuebix users are scheduled over the coming year. The product launch and customer migration are separate milestones.
Kuebix AI is positioned for small and medium-sized shippers as well as mid-market transport operations. It combines less-than-truckload, full truckload and parcel execution with carrier connections, shipment reporting and integration into business systems already used by customers. These modes have different booking and pricing structures: less-than-truckload freight typically shares vehicle space across shipments, truckload freight is planned around an entire vehicle movement, and parcel operations involve a different volume and label workflow. A common interface can give planners a consolidated view while retaining those operational distinctions.
Kuebix AI includes a service-time planning function that accounts for driver hours of service, facility opening hours, waiting time and time required to load or unload. A shipment may be assigned a feasible distance yet still miss the agreed arrival window if the driver cannot legally complete the trip or the receiver has closed. FreightWise says the function incorporates these constraints when proposing delivery plans. It has not published an independent on-time delivery comparison between the new software and the systems customers previously used.
A related multi-stop routing function uses service-time information to assess whether a sequence of collections and deliveries is feasible and to suggest an appropriate order. The distinction between an attractive route and an executable one is important: optimising distance can be counterproductive if a truck must wait until a receiving site opens, misses a collection cutoff or exceeds lawful driving time. Replanning must also account for which shipment can be accessed at each stop and whether the vehicle carries compatible goods. The announcement explains the scheduling inputs but does not claim that every operational constraint is modelled automatically.
FreightWise is also introducing AI-supported review of freight audit exceptions. The function compares quoted and invoiced charges, identifies discrepancies, estimates their financial effect and recommends ways to resolve them with carriers using available evidence. Audit systems need a reliable link between shipment orders, rate agreements, accessorial conditions and final invoices. A mismatched charge may reflect an incorrect bill, but it may equally arise from a legitimate waiting period, change of equipment or service adjustment. The described feature offers recommendations; the release does not establish that all disputes are settled without human review.
The new platform also brings together three named modules. Kuebix Connect provides no-code links to enterprise resource planning, warehouse management and other software, with AI assistance for mapping and setup. Kuebix Intelligence provides freight-spend dashboards by location, carrier and transport mode, alongside explanations of reported changes. Kuebix Dock connects shipping-station printers and scales to the software. Those tools serve different parts of the transaction, and their actual usefulness depends on consistent item identities, rate records, units of measurement and permissions across the connected systems.
Middleware can reduce repetitive manual entry where systems use different data structures, yet a mapped field must mean the same thing on both sides of an interface. A shipment reference, service code, weight or delivery appointment sent incorrectly can produce practical errors well beyond the software. Similarly, AI-generated commentary on transport costs is only as reliable as the underlying invoices, accessorial records and shipment classifications. FreightWise’s stated approach is to place AI within defined tasks rather than provide an unconstrained instruction engine, with individual feature access controlled by customers.
The company says its AI functions are opt-in and that customer data is not used to train third-party models. Those are vendor assurances rather than an independently established security certification; customers still need to assess access controls, data retention, system permissions and the handling of commercially sensitive freight information during procurement. FreightWise also says it manages more than $1 billion in freight annually. That figure describes the scale of its transport activity, not verified savings from the October software launch or a measure of Kuebix AI adoption.
FreightWise says customers using its managed transportation service have moved from FreightWise TMS to Kuebix AI, with remaining Kuebix-user migrations planned over the following year. The transition will require functioning carrier connections and booking interfaces, transfer and reconciliation of shipment history, consistent rating and audit records, and continuity of established customer workflows. Permissions and integrations will need checking before each migration is complete, particularly where older systems use different service codes or data fields. Additional AI features remain on the roadmap for 2027 and later; the supplier has not yet published independently verified cost, reliability or planning results for the new platform.
