Dive into a network that changes the game for retail companies
- SD-WAN connects to the cloud
Process millions of data points at the edge instead of utilizing high amounts of bandwidth to transmit data to the data center and back to the device. Engage with your customers instantly by housing your compute at the edge.
- SD-Branch is driving more adoption
Interacting with customers via iPad or out on the floor? Having the data you’re processing available in real-time avoids the “sorry it’s taking a minute” excuse. Compute and return results immediately with QOS’s Virtual Hub at the edge.
- Security is now key
Interact with your customers at their table, in the store aisle, or during the transition from online to instore shopping. By having the compute reside at your location’s edge you can process real-time data immediately and return the intelligence your machine learning can provide.
Real-Time Intelligence Across Your Stores
Together, we can design, build, and implement the platform you need to get better intelligence at your edge. QOS Networks can lead the development and execution, modernize your toolset, and help your business get insight into your network like never before.
Network
See your network in a new light with advanced intelligence, reporting, and monitoring
POS systems
Manage the performance of your POS systems with the network intelligence in QOS’s portal
Identify
Identify connections with high latency that are causing connectivity issues
24x7 support
Get access to 24x7 support from the world's only SD-WAN purpose-build Network Operations Center
Confidence
Manage your network with the confidence of QOS just a phone call away
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Manage Your Network like a Pro
Integrate your existing platforms into the QOS portal for a single-pane-of-glass view into your holistic network. Take advantage of machine learning to identify stores that are experiencing sub-optimal performance. Verify your carrier SLAs for data center connection, retail stores, or corporate offices with our carrier comparison tool. Correlate and interpret data with the help of the QOS intelligent platform.
