cargo.one just acquired ocean platform Cargofive and launched the industry's first AI-native operating system for multimodal freight logistics — backed by $20M from Bessemer Venture Partners. The platform creates a unified database covering air and ocean freight with agentic workflows that operate alongside human teams. Instead of freight forwarders manually comparing rates, checking capacity, and booking across dozens of carriers, AI agents handle the optimization while humans make strategic decisions. The acquisition merges air freight expertise with ocean logistics, creating the first truly multimodal AI-powered freight platform.

The logistics industry generates $4 trillion in annual revenue but operates on fragmented, manual processes. Rate quotes are requested by phone and email. Route optimization relies on individual knowledge. Capacity availability changes by the hour. cargo.one's AI agents process this complexity in real-time, optimizing across carriers, routes, modes (air vs. ocean), and timing to find the best combination for each shipment. The efficiency gains from eliminating manual comparison and booking are immediate and measurable.

But logistics optimization is cyclical and seasonal: the patterns that determine optimal routing, pricing, and capacity repeat across weeks, months, and years — and an agent that doesn't remember these patterns rediscovers them from scratch.

Why Supply Chain Memory Matters

Freight logistics exhibit strong temporal patterns. Holiday seasons create predictable capacity crunches on specific routes. Agricultural harvests generate seasonal demand spikes. Manufacturing cycles create periodic freight demand. Weather patterns affect port operations and transit times. A logistics agent that remembers these patterns can optimize proactively — booking capacity before it becomes scarce, routing around predictable delays, and negotiating rates before seasonal price increases.

Individual shipment knowledge also compounds. A freight forwarder who has shipped electronics from Shenzhen to Hamburg a hundred times knows which carriers are reliable on that route, which transit times are realistic versus marketed, and which customs brokers handle specific commodity codes efficiently. This operational knowledge represents years of accumulated experience — and it's exactly what AI agents need to make optimal decisions.

How MemU Adds Supply Chain Memory to Logistics AI

MemU provides persistent supply chain memory that makes logistics AI genuinely intelligent. Route performance, carrier reliability, seasonal patterns, and pricing trends are stored as structured memories. Before optimizing a new shipment, the agent retrieves relevant logistics intelligence — routing decisions informed by hundreds of previous shipments rather than current-moment data alone.

cargo.one built the multimodal logistics platform. MemU provides the supply chain memory that makes each optimization smarter than the last.

Get Started

Add supply chain memory to your logistics AI. Explore MemU at memu.pro and on GitHub.