Two-Factor Authentication, Custom RMA Numbers and AI-Powered Complaint Analysis
February brought a handful of meaningful updates to RetJet – here’s what changed and why it matters.
Two-Factor Authentication (2FA)
Your returns management panel holds customer data, order history, and logistics details. Without proper access control, that’s a real vulnerability, especially in larger stores where multiple people log in daily.
RetJet now supports 2FA via an authenticator app (such as Google Authenticator or Authy). Once enabled from the user profile, every login requires a one-time verification code. Backup codes are also available in case access to the app is lost, along with a trusted devices list, so frequent users on familiar devices can skip the extra step when needed.
For stores with a dedicated support team or external logistics partners, this is a meaningful change – particularly if internal IT or compliance procedures require multi-step authentication.
Custom RMA Number Builder
An RMA number is more than an internal ID. For many stores, it’s a reference point that touches the warehouse, accounting, and third-party logistics providers. If your warehouse operates on a specific numbering format and RetJet was generating something entirely different, the gap meant manual transcription, errors, and wasted time.
The new RMA number builder lets you define your own format. You can include brand prefixes, dates, order numbers, sequential counters, whatever makes sense for your operation. The result: RetJet adapts to your processes, not the other way around.
Separate Confirmation Messages for Returns and Complaints
A return and a complaint are fundamentally different situations. A customer withdrawing from a purchase needs different instructions than one filing a warranty claim. Until now, many systems treated both identically – leading to customer confusion and unnecessary support queries.
RetJet now lets you set up separate message templates for each type of request, with tailored content, distinct calls to action, and attachments that match the context. Fewer misunderstandings, fewer follow-up emails and customer communication that actually reflects how your store handles each case.
AI Image Detection in Complaints
This is probably the most unexpected update in this release. Increasingly, complaint submissions include product photos that aren’t really photos at all. AI-generated images can look convincing, but they depict products that never existed in the described condition.
RetJet now displays a percentage score estimating whether an attached image is a real photograph or AI-generated graphic. This doesn’t automatically block or reject submissions, it’s a signal for your team during manual review. A high “generated image” probability score can be a prompt to request additional documentation from the customer before proceeding.
Given the growing volume of fraudulent claims across e-commerce, this is practical support for customer service teams, especially at scale.
Summary
All features described above are already available in the RetJet panel. If you’re still evaluating returns management tools, February’s update shows where the platform is heading: stronger security, better integration with internal workflows, and tools that help teams catch potential abuse before it becomes a problem.