Agentic AI is about to move from the margins of supply chain software to the mainstream. The forwarders who benefit will be those who strengthen their rate data right now Gartner expects enterprise adoption of agentic AI in supply chain software to rise from 5% today to 60% by 2030. That is a fast curve, and it will sort forwarders into two groups: those whose data is ready for AI, and those still wiring it together while competitors pull ahead. Digitalization has already lifted efficiency and service levels across logistics. AI can do something harder: move net margins. But that gain depends on one thing, the data powering it. For forwarders, that means rates and charges, complete and structured across every mode they move. AI bolted on as a separate tool will not hold up in logistics. It has to be native to the data. Fragmented data means agents miss options, quote against stale rates, or contradict the human team. A unified rate foundation, shared equally by AI and human experts, fixes that: faster quoting, fewer missed options, more accurate automation and documentation, and customer answers that match what the team would recommend. Most forwarders are still in progress In logistics, reliability decides value, and for AI that reliability rests entirely on its data. Most forwarders still trust their manual processes, and the numbers explain why. Research on European forwarders reported by The Loadstar found that only 29% have automated their core operational workflows. The rest still run on email, spreadsheets, PDFs and manual work. That caution is rational. The problem is not the appetite for AI, it is the absence of a foundation reliable enough to run it on. A complete foundation A foundation for strong AI must be multimodal and it has to be a single source of truth. Rate procurement, rate management, quoting, sales and customer support should run across air and ocean from one place, not three disconnected systems. That is the gap we set out to close. cargo.one