Roger is an AI‑powered platform that monitors eCommerce stores to detect and prevent revenue loss from discount abuse, unshipped orders, and anomalous refunds.
Funding
Funding not disclosed
Founders
Product
Problem
eCommerce merchants often lose a significant portion of gross sales due to undetected discount abuse, unshipped orders, and irregular refund patterns. These issues are typically hidden in transaction data, leading to delayed response, increased manual effort, and reduced customer satisfaction.
Solution
Roger applies AI-driven monitoring to eCommerce stores, continuously scanning order data for signs of revenue leakage. The platform quantifies lost revenue, identifies the specific drivers—such as excessive discount usage, fulfillment gaps, or anomalous refunds—and surfaces actionable insights in a real‑time command center. Automated AI agents generate proactive customer communications and internal reports, reducing manual investigation and accelerating issue resolution. By integrating inventory, product performance, and warehouse SLA metrics, Roger enables merchants to defend up to 15% of gross sales and streamline operational workflows.
Target Audience
Roger is designed for online retailers and eCommerce operators who manage high transaction volumes and need to protect revenue while maintaining efficient order fulfillment.
Features
- AI analytics that detect discount abuse, unshipped orders, and refund anomalies in real time
- Revenue loss quantification with drill‑down attribution to specific loss drivers
- Centralized dashboard for inventory, product performance, and warehouse SLA monitoring
- Automated AI‑generated status updates and issue reports to customers and internal teams
- Exportable analytics and reporting tools for continuous improvement initiatives