No new carriers. No renegotiated contracts. No headcount added.
The Problem:
Most operations have already done the diversification work. Multiple carriers, negotiated contracts, a general sense of which lanes perform well. What they haven't built is the layer that makes those choices actually pay off on each shipment.
Static routing rules get set during implementation and revisited maybe once a quarter. They don't account for what a specific carrier is doing on a specific lane right now. At 25,000 labels a day, that gap compounds fast.
For this company, it showed up as 5,000 late packages every single day. That's not just a logistics number. For a re-commerce platform, late deliveries give sellers a reason to list somewhere else.
The Solution:
Luma AI Select evaluates each shipment at the moment of label creation. It factors in destination zone, package profile, cost, and carrier performance history across 1B+ comparable shipments, then selects the best available option form the carriers you already have.
No new carrier relationships. No contract changes. No disruption to fulfillment operations.
Luma AI Select is the decision layer most carrier setups are missing. It doesn't change your carrier mix—it changes how each shipment gets assigned within it, in real time, at the moment of label creation.
Key Benefits
4-5% Lower Per-Label Costs. Same Carriers. Same Contracts. Luma AI Select found where their current setup was losing money and corrected it shipment by shipment. No new carrier relationships, no renegotiated contracts required.
Better On-Time Performance Without Buying Faster Service. On-time delivery improved from 80-83%—roughly 273,000 fewer late deliveries every year. That improvement didn't come from upgrading service levels. It came from routing each shipment to the carrier most likely to actually deliver it on time.
Cost and On-Time Performance Both Improved. That's Not the Usual Outcome. Luma AI Select improved both simultaneously—not by spending more on faster service, but by making more accurate decisions about what each shipment actually needed.
Carrier diversification is a prerequisite. Knowing which carrier to use for each shipment, based on current conditions and performance data, is the actual solution.
Operations Team, Global Re-commerce Marketplace
(name withheld at company request)
See the Shipment-Level Results.
The full case study walks through exactly what changed, how Luma AI Select made shipment-level decisions within an existing carrier mix, and what the results looked like across cost and delivery performance. Get the full case study today!
