Eliminate Abusive Returns and Secure Your After-Sales Service
Abusive returns and fraudulent requests pose significant financial risks for retailers. Revers.io secures your return process with an intelligent filtering system that reduces losses and ensures a seamless experience for legitimate customers.
Optimize Your Return Management
Fraudsters exploit weaknesses in the return process, such as returning non-compliant or swapped products, or abusing refund procedures. With warehouse functionalities and customer history analysis, identify suspicious behaviors and detect recurring abuses.
Detect Anomalies Through Advanced Analysis
Verifying documents provided by customers (invoices, photos, proof of purchase) can be time-consuming for teams. Revers.io automatically manages eligibility through integration with your order flow and its rules engine. Depending on the context, photo evidence is automatically requested and analyzed.
Enhance Protection Against Abuses
Without an effective rules engine, filtering requests and applying appropriate restrictions is challenging. Revers.io offers an intelligent filtering system that automatically adjusts validation criteria based on identified risks, allowing for quick blocking of suspicious requests.
Reduce Losses from Fraudulent Returns
Revers.io secures your return chain by detecting and blocking fraud attempts before they impact you. Through analysis of customer histories and suspicious behaviors, minimize abuses and protect your margins while maintaining a smooth experience for your customers.

Accelerate and Automate Return Controls
Through automated collection of supporting documents, Revers.io simplifies the work of after-sales teams. Documents and proof of purchase are analyzed, enabling faster and more reliable processing of return requests without systematic manual intervention.

Apply Intelligent and Scalable Filtering Rules
Revers.io adapts to your needs by integrating an intelligent filtering system that evolves with your requirements. You can adjust validation and rejection criteria based on detected fraudulent behaviors, ensuring precise and dynamic control of returns.

