Dive into a network that changes the game for the hospitality industry
- Real-Time results with compute locally
We’ve all experienced the extreme network latency that can occur when trying to check a guest in or manage a restaurant POS system. With SD-WAN at each location’s edge, you can bring that processing time to milliseconds instead of sending the data all the way to the data center and back again.
- Reduce jitter and latency on mobile devices
Interacting with guests from a mobile device in different areas of a the hotel, restaurant, or resort area can typically result in poor connections with high volume on the network. With QOS, we ensure optimal performance even through bandwidth bottlenecking to keep your guests satisfaction high.
- Control the network onsite or remote
Manage the configuration of each locations from onsite or remotely. The VeloCloud orchestration platform and the QOS support team make it simple to make network-wide or site-specific changes to optimize your network.
Real-Time Intelligence Across Your Locations
With SD-WAN, you’re able to intelligently segment traffic in your network based on numerous factors, such as guest traffic, hotel staff connections and business-critical application traffic. Manage and monitor your traffic and performance through the QOS Virtual Hub, and track network health and carrier SLAs.
high quality QoE
Ensure high quality QoE for all voice or video communications
Ensure credit card processing availability and high performance
Add new sites easily and duplicate or customize configurations
Ensure scalability for future business needs and requirements
Ensure high performance for restaurants, hotels, resorts, etc.
A Network Custom to You
It’s never been easier to take your existing platforms and integrate them with the QOS portal. With a view into your holistic environment, you can take advantage of IoT intelligence at your health, dental, or lab locations across your network. Verify your carrier SLAs for each connection with our carrier comparison tool. Correlate and interpret data with the help of the QOS intelligent platform.