What if improving shipping performance didn’t require adding carriers, renegotiating contracts, or overhauling operations? For one high-volume recommerce marketplace, the biggest opportunity was simply making smarter decisions with the carrier options it already had.

Using Luma AI Select to optimize service-level selection for each shipment, the company achieved $2M+ in annual savings, reduced per-label costs by 4–5%, and eliminated approximately 273,000 late deliveries per year, without adding carriers, headcount, or making significant operational changes.

Download the case study to learn:

• How AI helped improve on-time delivery from 80% to 83%
• How the company saved $2M+ annually using its existing carrier network
• Why static shipping rules may be hiding opportunities to improve cost and performance
• How smarter shipment-level decisions can improve cost and delivery performance simultaneously
• Why the company ultimately shifted 10X more U.S. shipping volume to EasyPost

Your existing carrier mix may have more potential than you realize. Download the case study to see how smarter, data-driven shipping decisions can uncover significant savings, improve delivery performance, and create measurable value at scale.