AI for logistics execution

When one customer's service level shifts, it shouldn't take a phone call for your team to notice. Infios AI works inside the systems that run your whole network, so it can open a dock earlier or shift a crew to cover the gap for that customer, without pulling your team off another customer's work to do it.

Predictive, generative, agentic and conversational AI work together across the network: sensing which customer or lane is at risk early, deciding what to prioritize, reallocating labor or a dock slot to the customer that needs it most and getting better at reading each customer's patterns with every shift.

LSPs don't need to standardize every customer's workflow on day one. Driver Status Update agent is often the first move: Infios AI calls drivers automatically for status and ETA and updates the TMS directly, instead of a dispatcher chasing that information down one carrier at a time, which matters when you're scaling across customers without adding headcount. From there, autonomy can expand across the rest of the network.

Not every customer wants the same amount of autonomy, and Infios AI doesn't assume they do. Teams apply their own approval rules by customer or contract, keeping a person in the loop for an account that needs it, like a service failure on a high-priority customer, while it acts independently everywhere that trust already exists.