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Discover how AI-driven parcel optimization reduces costs and improves delivery times without changing your carrier network. An executive guide to shipment-level intelligence.
Parcel optimization is often approached as a network problem: negotiate better rates, add carriers, redesign packaging, change fulfillment, or shift volume. Those levers remain important, but they can overlook a high-frequency source of value, the decision made when each label is created.
A global recommerce marketplace in the supplied Luma AI Select case study processed more than 25,000 labels per day through EasyPost. Its primary carrier had an 80% on-time delivery rate, which the source equates to approximately 5,000 late packages per day at that volume.
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