Case Study: Triumph speeds trucker payments with KUNGFU.AI

A KUNGFU.AI Case Study

Preview of the Triumph Case Study

Triumph slashes time to payment to seconds with KUNGFU.AI

Triumph, a large transportation payment network, faced the challenge of accelerating invoice payments for truckers while diligently managing fraud and payment collection risks. Their previous automation attempts had failed due to overly stringent rules. Lacking internal AI expertise, Triumph partnered with KUNGFU.AI to leverage machine learning and break the plateau in their funding speed.

KUNGFU.AI developed and implemented a Gradient Boosted Classifier model, which automated the invoice decisioning process. The solution included refining business logic and using transparent guardrail metrics to build confidence. The results were exceptional, slashing payment times from hours to seconds and auto-approving over 50% of invoices. KUNGFU.AI's solution also significantly reduced risk, leading to a 57% reduction in short pays, a 65% decrease in chargebacks, and a 25% drop in disputes, creating a powerful competitive moat for Triumph.


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