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Site title: Decision Intelligence Platform | project44
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The conversation around agentic AI in supply chain has mostly focused on what agents can do. The Supreme Court’s unanimous ruling in Montgomery v. Caribe Transport II has reframed the question every enterprise shipper should also be asking: what did they do, when, and can you prove it?
For most supply chain teams evaluating AI investments, the questions center on c...
Every year, shippers sit across from carriers and negotiate rates. The carriers bring scorecards. The shippers bring data from their own lanes.
Neither side has the full picture.
Carriers now reject one in six contracted loads. Those rejections don’t show up neatly in your TMS. You see what carriers do on your freight. They know exactly how they perform ...
A dedicated experience built for carriers to improve data quality, build shipper trust, and unlock new business opportunities across the network.
For too long, carrier-facing tools in supply chain technology have been an afterthought: dashboards built for shippers, repurposed for the companies actually moving the freight. Carriers logged in and found data ...
Shippers have more freight data today than ever before. Rate benchmarks. Carrier scorecards. Transit time tables. Live tracking feeds. Most of it arrives after the decision it was meant to inform has already been made.
That is the real problem with traditional TMS architecture. Not a shortage of data. Not a lack of visibility. The problem is timing: the right infor...
Visibility is the most consequential capability in modern freight management. When it is working, planners see what is happening on the network before decisions are made. Carrier performance reflects observed behavior, not self-reported claims. Transit time predictions hold up against reality. Plans do not break because the assumptions they were built on expired months ago. <...