
The tool gives B2B sellers a proactive way to protect revenue and deepen buyer relationships, addressing a major source of leakage in the order‑to‑cash cycle.
Artificial intelligence is rapidly moving from back‑office automation to a strategic intelligence layer in B2B payments. Suppliers traditionally struggle to keep existing accounts active, with dormant buyers silently eroding revenue. By embedding predictive analytics directly into the order‑to‑cash workflow, TreviPay’s Growth Center turns raw transaction logs into actionable signals, allowing finance, sales, and operations teams to intervene before revenue gaps appear. This shift reflects a broader industry trend where data‑driven insights are becoming essential for maintaining healthy buyer‑supplier ecosystems.
Growth Center’s architecture pulls together three data streams: historical transaction volumes, real‑time behavioral triggers, and machine‑learning forecasts of future engagement. The platform surfaces a risk score for each buyer, recommends incentive structures, and even automates rebate tracking. In a recent pilot, the model accurately flagged at‑risk accounts, prompting outreach that reactivated 60 buyers and captured nearly $104 k in incremental spend within a week. Such results demonstrate how predictive tools can convert dormant accounts into growth opportunities while reducing the manual effort required for campaign design and performance measurement.
For the broader market, TreviPay’s move underscores the competitive advantage of AI‑enhanced payment networks. Banks seeking to capture off‑card B2B spend now have a partner that can offer both financing (via Pay‑by‑Invoice) and revenue‑protecting analytics. As more enterprises adopt AI to safeguard cash flow, providers that combine credit infrastructure with intelligent buyer insights are likely to dominate the next wave of B2B payment innovation. TreviPay’s Q2 2026 rollout positions it to capture a growing segment of businesses eager for data‑driven, end‑to‑end O2C solutions.
Comments
Want to join the conversation?
Loading comments...