Frequently Asked Questions
Everything you need to know about XFlows and how it works.
What is XFlows?
XFlows is an AI-powered platform that converts plain-language descriptions into production-ready mobile logistics applications for Android devices. Warehouse teams describe their workflow and receive a native app they can deploy immediately.
How does the AI generate an app?
You have a conversation with the XFlows AI assistant, describing the steps in your workflow: what data to collect, what validations to apply, and where to send results. The AI translates that conversation into a complete app configuration that runs on Android devices.
What devices does XFlows support?
XFlows generates native Android applications. These run on consumer Android phones, rugged enterprise handhelds from manufacturers like Zebra, and purpose-built logistics devices such as the QBOID M2 with built-in dimensioning.
Do I need coding experience?
No. XFlows is designed for operations teams, warehouse managers, and logistics professionals. You describe what you need in plain English and the AI builds it. No programming and no IT department involvement required.
How are apps deployed to devices?
Apps are deployed via QR code. Workers scan a code with their device and the app is loaded and ready to use. When you update a workflow, devices pick up the changes automatically. No reinstall and no app store submission.
What systems can XFlows integrate with?
XFlows connects to enterprise ERP systems including SAP, Oracle, NetSuite, and Manhattan. It also integrates with warehouse hardware such as barcode scanners, dimensioners, scales, and label printers. Custom REST API and webhook integrations are supported for any other system.
Is my data secure?
Yes. XFlows-generated apps communicate over encrypted HTTPS connections. Data is sent directly to your own backend systems. XFlows does not store your operational data. The platform is designed for enterprise environments with strict security requirements.
How long does it take to create an app?
Most workflows can be described and deployed in minutes. Complex multi-step processes with conditional logic and multiple integrations may take a few hours of conversation with the AI. Either way, it is dramatically faster than traditional development.