Automate the entire product return process with an intelligent AI-powered agent that navigates return portals on your behalf π€. This workflow receives customer return requests, analyzes portal structures using AI, and autonomously fills and submits return forms π. It intelligently adapts to unexpected screens using self-critique and retry logic, ensuring high success rates without manual intervention β°. When needed, it escalates edge cases to humans while keeping customers informed via email π§.
π₯ Receives return requests via webhook (e.g., Typeform submissions).
π Parses and normalizes customer, order, and return details.
ποΈ Initializes a session log to track the entire return journey.
πΊοΈ Uses AI to map the return portal structure and plan navigation.
π€ Executes autonomous form filling and portal navigation.
π Detects unexpected screens and evaluates success/failure.
π Retries with AI-generated alternative paths (up to 3 attempts).
π§ Applies self-critique to improve navigation dynamically.
β
Extracts confirmation number upon successful submission.
π§ Sends confirmation email to the customer.
π Logs completed returns in Google Sheets.
π¨ Escalates failed cases to human review with full context.
β
Fully autonomous return processing with AI decision-making
β
Handles complex and dynamic return portals without hardcoding
β
Reduces manual workload for support and operations teams
β
Built-in retry and self-healing logic for higher success rates
β
Seamless customer communication via automated emails
β
Reliable fallback with human escalation for edge cases
ποΈ E-commerce brands handling high return volumes
π¦ D2C businesses looking to automate post-purchase workflows
π€ Automation engineers building AI-first operations systems
π Customer support teams aiming to reduce manual processing