## Shiplify and RXO Collaborate to Transform LTL Billing Transparency Through Advanced Location Intelligence

The less-than-truckload (LTL) shipping industry has long struggled with billing disputes and hidden accessorial fees. A new collaboration between Shiplify, an AI-powered location data platform, and RXO, a major asset-light transportation provider, aims to address this challenge head-on by embedding sophisticated freight intelligence directly into RXO Connect™, the company's proprietary booking and management platform.

### Tackling the Accessorial Fee Problem

For LTL shippers, unexpected charges for residential deliveries, limited-access locations, lift-gate requirements, and dock shortages have been a persistent source of friction. By integrating Shiplify's machine learning capabilities into its operations, RXO now enables customers to see these potential charges upfront, dramatically reducing billing surprises. The partnership leverages Shiplify's data processing experience across millions of LTL shipments from leading carriers, translating raw shipment data into actionable delivery insights.

### How the Technology Works

Shiplify's location intelligence system operates through several specialized detection mechanisms. The platform identifies whether delivery addresses have dock access, determine forklift availability, recognize residential properties, flag multi-tenant buildings requiring coordination, and pinpoint limited-access scenarios that demand special handling. This granular level of detail allows RXO's drivers to arrive fully equipped for successful delivery execution.

North Winship, President of Shiplify, emphasized that the partnership serves dual purposes: "Beyond revenue capture for carriers, this integration provides RXO's customer base with unprecedented visibility into the true cost and logistics requirements of each shipment."

### Quality Assurance Built In

The collaboration includes a real-time feedback mechanism. If Shiplify's AI identifies an attribute incorrectly, customers can report the discrepancy, with corrections implemented within 24 hours for subsequent shipments. This continuous refinement ensures data accuracy improves over time.

Lou Amo, leading RXO's truck brokerage division, noted that the partnership aligns with the company's decade-long commitment to AI and machine learning infrastructure. "By adding Shiplify's sophisticated data capture to our existing algorithmic frameworks, we've elevated our ability to provide predictable, transparent logistics experiences," Amo stated.

### Industry Implications

The initiative reflects a broader industry trend toward operational transparency. As shippers demand clearer visibility into total logistics costs, technology partnerships like this one between Shiplify and RXO demonstrate how specialized AI tools can be embedded into established freight platforms to create measurable value. The result: fewer billing disputes, more efficient route planning, and stronger customer relationships built on trust rather than surprise charges.