See what happens after they open the box.

Product teams get a direct feedback loop from consumers. Instead of relying on support tickets (lagging indicator) or surveys (low response rate), Veribl surfaces real-time signals from AI chat conversations, manual engagement, and registration data. You see exactly what consumers struggle with, what they ask about, and where the product experience breaks down.

Yes. Every metric — scans, registrations, chat conversations, manual views, escalations — is broken down by product, model, batch/lot, and region. You can compare engagement across your catalog, identify which products generate the most support volume, and track improvements over time.

Most returns aren't caused by defects — they're caused by confusion. Setup was too hard, features weren't discoverable, or the product didn't meet expectations because documentation was unclear. Veribl's AI resolves these issues at the point of friction, before the consumer decides to return.

Yes. The Veribl dashboard lets product teams update manuals, FAQ content, troubleshooting guides, and product page content without any code changes. Updates are reflected immediately across all QR codes — no reprinting, no app update, no deployment.

The AI analyzes patterns in consumer conversations. If a new batch of products generates a spike in questions about the same feature or a specific setup step, Veribl surfaces this as an alert. Product teams can investigate and respond — updating documentation, issuing guidance, or flagging for quality review — before the issue becomes widespread.

Veribl sends events via webhooks and API for integration with your existing analytics, CRM, or product management tools. Consumer registration, scan, chat, and feedback events can trigger workflows in tools like Jira, Productboard, Amplitude, or any platform that accepts webhook data.