---
title: Yuno Webinar | Recover Revenue with Automated Payment Monitoring
description: Payment performance can drop in seconds. Learn how automated monitoring and real-time traffic shifting prevent revenue loss in Yuno’s Monitors webinar.
image: https://landings.y.uno/hubfs/raw_assets/public/yuno-webinars/og/recover-revenue-og-infocus.png
---

infocus[by](https://www.y.uno)Payments, AI and tech, explained

On-Demand

# Recover Revenue with Automated Payment Monitoring

Payment performance can change in seconds: a PSP slows down, error rates spike, or a local method goes down. By the time someone notices in a dashboard, thousands of transactions, and real revenue, are already lost.

In this on-demand webinar, we uncover how leading payments teams move from reactive monitoring to automated control. Learn how continuous performance monitoring, real-time anomaly detection, and automatic traffic shifting protect approval rates, without a 24/7 operations team!

Available now**Duration** 30 min

![Carol Oppenheimer](https://landings.y.uno/hubfs/1677445283538.jpeg)

**Carol Oppenheimer**Sr Product Manager, Yuno

## Watch the Recording

Fill in your details to access the full session.

## What you'll learn:

00:00 → 30:00

Chapter 1

### The revenue risk of PSP outages and degradation

Understand how even brief incidents can impact approvals, customer experience, and long-term growth. We'll explain why traditional, manual monitoring isn't enough at scale.

Chapter 2

### How to design meaningful approval-rate benchmarks

Learn how to set thresholds, time windows, and traffic minimums that reflect your business reality. You'll know how to distinguish real incidents from normal fluctuation.

Chapter 3

### How real-time signals power smarter routing and failover

See how live approval and error data drives smarter routing decisions and instant recovery across PSPs and regions.

Chapter 4

### How to automate the incident response loop

A practical guide for real-time monitoring, alerting, traffic redirection, and recovery – without constant human intervention.

Chapter 5

### Learn how merchants keep payments stable

See how Rappi, Latin America's leading super‑app, detects anomalies in milliseconds. We'll show how they trigger real-time alerts, and automatically redirect traffic when a processor has latency or intermittency. This cuts analyst resolution time by nearly 80% and protects revenue during provider issues.

Chapter 6

### How Monitors by Yuno implements this end-to-end

A live walkthrough of how Monitors detects issues instantly, shifts traffic to healthier routes, notifies teams in real time, and restores volume once performance stabilizes.

Your Speaker

![Carol Oppenheimer](https://landings.y.uno/hubfs/1677445283538.jpeg)

Carol Oppenheimer

Sr Product Manager, Yuno

[Watch the Recording](https://landings.y.uno/webinar-recover-revenue-automated-payment-monitoring#register)

infocus[by](https://www.y.uno)Payments, AI and tech, explained

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