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FreightWise Launches AI TMS to Eliminate Manual Routing Errors

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FreightWise has launched Kuebix AI, an AI-enabled transportation management system designed specifically for small and midsize shippers struggling with complex freight mode decisions. Built on a platform acquired from Trimble three years ago, the system replaces rigid rule-based routing algorithms with machine learning that the company claims reduces false positives, lowers operational costs, and requires less technical overhead to maintain. The platform introduces several operational improvements that address long-standing TMS pain points.

Multi-stop truckload planning allows planners to visualize trade-offs between delivery protection and cost reduction on a single screen, eliminating the need to work outside the system when suggested routes prove impractical. FreightWise built its own carrier API network in-house to enable faster onboarding and real-time rating, rather than relying on slower third-party tools. The system also integrates an AI-powered middleware layer called Kuebix Connect that maps data from ERPs, WMS systems, and point-of-sale platforms without requiring dedicated IT resources.

The launch carries important strategic implications for supply chain teams evaluating automation adoption. FreightWise acknowledges two critical risks: poor data quality will cause AI systems to generate incorrect conclusions and competitive disadvantage, while premature deployment of unproven AI features may create proof of concept rather than genuine business value. The company deliberately kept AI out of customer-facing support and delayed rollout by six to eight months to ensure the solution delivered measurable operational returns rather than theoretical promise.

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