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I saw an overwhelming positive response from supply chain leaders following our AS/400 support announcement. That's because AS/400 remains one of the hardest systems in the enterprise to connect to. It lacks modern APIs and has strict access controls, making it a persistent barrier to AI. If you'd like to learn more about how Pallet is supporting AS/400 workflows, DM me.

As AI agents become active participants in the enterprise, I've been thinking about how IT governance needs to evolve with them. Agents aren't employees, but they can take actions across enterprise systems that run the business. In supply chain, those actions can affect inventory, customer commitments, costs, and downstream operations. That makes it critical to define what each agent is allowed to do. For example, a quoting agent may retrieve rates and generate a quote, but it shouldn't be able to create an order. Pallet developed a practical framework to help IT teams safely scale their agent deployments. Link in the comments.

Many of our customers run their freight forwarding and landside operations on CargoWise, so making Pallet work seamlessly with their CargoWise workflows has been important to us. When it comes to automatically building shipments, updating status, and quoting, one challenge is that CargoWise uses XML data schemas that LLMs struggle to handle reliably. We had to build our own tooling to make the data interoperable. If you're thinking about bring AI into your CargoWise workflows, DM me.

Pallet has the fastest AI agent deployment in logistics. Take it from Adam Lind and MVP Logistics who went live in a week.

Grow your operations without adding headcount. See how AI drives ROI for operators.

Legacy tools slow operations down. See the AI-native platform built for modern supply chain.