Build your perfect e-commerce support system,
operated by your team of AI-Agents

Less refunds. More happy customers.

  • AI-powered customer experiences for returns, exchanges, warranty, fraud, and more
  • Minimize returns and convert 60-80% of refund requests into retained revenue
  • AI fraud detection to protect against abuse
  • Leverage predictive insights to prevent future issues and minimize return rates
  • Unify all your support functions into one seamless, intelligent OS
  • Own your system - no annual fees or per-return pricing
Sterling Whitley
Sterling Whitley, Founder & CEO

Sterling built one of the largest Return Management Software platforms—processing millions in refunds daily for brands like Old Navy, Skims, and Spanx.

There’s a fundamental problem with traditional Return Management Software: treating returns and support as separate functions. The assumption that a refund is the default answer to every issue is flawed. The real solution is often a repair, a replacement, or simply the right information delivered at the right time.

In e-commerce, the need for customer support will always exist due to the disconnect between the online and in-person shopping experience. Returns should be viewed not as isolated incidents but as an integral part of the customer journey—solvable through a proactive, intelligent approach.

Turn Returns into Revenue
Return AI Analysis Troubleshoot Exchange Store Credit Refund 60-80% Retention

Stop treating refunds as the default solution. Most returns are actually support issues in disguise, waiting to be solved.

Save 60-80% of refund-bound revenue with intelligent resolution paths. Book a demo today to see how it works.

Support-First Returns: Refunds as the Last Resort

Unlike traditional Return Management Software, which defaults to refunds and relies on customers selecting a reason from a dropdown, our support-first approach begins with thorough troubleshooting to uncover the real issue. This process minimizes returns and ensures that even when a refund is necessary, we gain valuable insights that drive long-term improvements.

Return Merchandise Authorization Troubleshoot Recommend Replacement Products Process Exchange Orders Issue Appeasements: Store Credit and Refunds Generate Packing Slip & Shipping Labels Analytics

When troubleshooting doesn't resolve the issue, the RMA process ensures a seamless return or exchange while generating actionable insights to prevent future returns.

Feature illustration
  • Answer informational questions
  • Take action to reach resolution
  • Remedy problems at the source instead of defaulting to refunds and severing customer relationships

Autonomous Intelligence

Your Team of Expert AI-Agents

Build your perfect support system. AI learns your business rules, workflow, product catalog, and common issues.

Return Process and automate return requests Exchange Recommend products and incentivize exchanges Warranty Evaluate and process warranty claims Fraud Detect, prevent, and process fraud claims Support Product troubleshooting and general support Analytics Actionable insights to reduce return rates
Automatic Re-Training Request AI Routing Evaluation Decision Processing Execution Integration Direct Sync Request AI Routing Evaluation Decision Processing Execution Integration Direct Sync
  • Request: Natural language understanding categorizes and routes requests instantly
  • Evaluation: Automated decisions based on learned business rules and policies
  • Processing: Execute on requests, answer queries, issue appeasements, reach resolution
  • Integration: Sync with Shopify, 3PL, ERP, etc.
  • Automatic Re-Training: AI trains on every decision confirmation

Own Your Support System

Stop paying endless subscriptions. Join forward-thinking retailers who are building long-term assets.

Support Software Stack

$$$/month

Current monthly expenses:

  • Manually operated
  • Return Management Software fees
  • Per-seat pricing
  • Feature add-ons
  • Annual price increases

Peak Returns Day is Coming

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Jan
Days
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12
Hours
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20
Minutes
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25
Seconds

January 12, 2025

Peak season is around the corner with 2-3x normal return volume expected

Book a Demo →