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Explore the 2026 parcel decision gap and how AI-driven, shipment-level carrier allocation reduces costs and improves on-time delivery without changing networks.
This report examines a specific operational gap in high-volume parcel shipping: organizations can have multiple carrier options, extensive shipment data, and sophisticated reporting while still making label-time service decisions with static rules.
The report uses the supplied EasyPost Luma AI Select case study as the primary proof source and 2026 parcel/logistics publications as current market context. It does not present the customer’s results as a market benchmark or guaranteed outcome.
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