{
  "id": 19395497,
  "title": "Inside Kuebix AI: A Shipper TMS Rebuilt Around Executable AI",
  "url": "https://urgent.news/2026/11/10/inside-kuebix-ai-a-shipper-tms-rebuilt-around-executable-ai",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-10T20:54:21.000Z",
  "source": {
    "name": "FreightWaves",
    "slug": "freightwaves",
    "url": "https://www.freightwaves.com/news/inside-kuebix-ai-a-shipper-tms-rebuilt-around-executable-ai"
  },
  "original_language": "en",
  "account": "Inside Kuebix AI, a Shipper TMS Rebuilt Around Executable AI\n\nTransportation management systems (TMS) have traditionally focused on finding the cheapest way to move orders. However, they often struggle to determine if the chosen plan will work in practice, especially when factors like multiple dock doors, delivery appointments, and hours of service regulations are taken into account. FreightWise, a company backed by AI, aims to address this gap with its new AI-powered TMS called Kuebix AI, designed for small and mid-market shippers.\n\nKuebix AI is the single system for all FreightWise and Kuebix customers, covering less-than-truckload (LTL), truckload, and parcel services. The platform consolidates two separate systems previously operated by FreightWise: FreightWise TMS and the Kuebix TMS platform. By providing every customer with the same technology, one team, and one product roadmap, FreightWise aims to streamline operations and accelerate the rollout of new features.\n\nOne of the standout features of Kuebix AI is its multi-stop truckload planning capability. Traditional TMS platforms often struggle to plan multi-stop routes, as they sometimes fail to consider delivery appointments, leading to suboptimal plans. In Kuebix AI, planners can view multiple route options on a single screen, along with the potential weaknesses of each route. They can then select the most suitable option, whether it means adding miles to meet a delivery appointment or cutting miles to save costs. This approach keeps planners within the TMS, rather than having them switch to external tools for route optimization.\n\nKuebix AI also incorporates AI-driven service time calculations, which take into account hours of service, wait time, loading, unloading, and facility hours. This data is then used by AI-driven multi-stop routing to determine whether a sequence of stops is feasible and to recommend the optimal route. The goal is to ensure that the delivery dates promised by shippers to their customers are met.\n\nIntegration is another key challenge addressed by Kuebix AI. Many TMS platforms are not the system of record for orders, and SMBs often have limited IT resources and outdated systems that may not support current data formats like JSON. FreightWise's Kuebix Connect is a no-code middleware layer that enables business users to visually match fields between their WMS, ERP, or other source systems and the TMS. The AI within Kuebix Connect continuously monitors these connections for data issues, automatically fixing them and diagnosing the source of problems to prevent freight delays. While some IT support is still required, the company believes that this approach reduces the reliance on IT for routine maintenance.",
  "summary": "FreightWise’s Kuebix AI unites two TMS platforms and applies AI to multi-stop routing, integrations and freight audit for SMB and mid-market shippers. The post Inside Kuebix AI: A Shipper TMS Rebuilt Around Executable AI appeared first on FreightWaves .",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}