Rate Engine to Label: The Missing AI Decision Layer

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Discover the missing "decision layer" between your rate engine and shipping label. Learn how shipment-level AI allocation cuts costs and improves delivery.

Parcel organizations already possess many of the ingredients required for better decisions: contracted carrier services, rate information, package data, delivery commitments, tracking events, and historical performance. Yet those ingredients do not create value automatically.

Value is created when evidence changes an operational decision.

In parcel shipping, one of the most consequential decision points is label creation. That is where the organization commits to a carrier/service option, a transportation cost, and an expected delivery outcome.…

The supplied Luma AI Select case study demonstrates the economic potential of improving this layer. A global recommerce marketplace processing more than 25,000 labels per day through EasyPost reported more than $2 million in annual savings, a 4–5% re…

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