Case studies
Logistics
Logistics – Digital Freight Brokerage: Load-to-Carrier AI Matching
Timeline: Build: 9 weeks. Deploy: lane-by-lane. Optimization: 10 weeks market models.
Business overview
Industry: digital freight brokerage. Complexity: volatile spot market.
Common pain points
Manual matching, compliance gaps, claims drag.
Full AI automation system (PrimeAxiom solution)
Load Agent, Match Agent, Price Agent, Claims Agent.
Automation workflow (detailed system flow)
1. Load posted. 2. AI parses details. 3. Carrier search. 4. Price suggestion. 5. Dispatch. 6. POD capture. 7. Claims if issues.
AI agents & logic
Parser Agent, Matcher Agent, Risk Agent.
Technical architecture
Graph of carriers, real-time rates, LLM for unstructured load notes.
Tools & integrations
McLeod/Turvo API class, PostgreSQL, OpenAI, load boards, SMS
Results
Cover time −35%; fall-through rate −22%; claims cycle time −48%; gross margin per load +1.9 pts.
Timeline
Build: 9 weeks. Deploy: lane-by-lane. Optimization: 10 weeks market models.