How to Build a Robust Wi-Fi Network for Your Hotel

Plan Ahead for a Successful Hotel Communication System

In recent years, a strong hotel communication system has become a requirement for success in the hospitality industry. According to Ruckus, 83 percent of guests go out of their way to report bad Wi-Fi, and 36 percent won’t return to a hotel if they had a bad experience with their internet connection. Behind the scenes, the network is just as important to your Los Angeles, CA property.

Stay Competitive in the San Francisco Market with Hotel Automation

Smart Monitoring Solutions Enhance Efficiency and Guest Satisfaction

San Francisco is one of the most cut-throat markets in the hospitality industry. With high property costs, strict building codes and competition from home sharing sights like Airbnb, hotels are struggling to keep a stronghold in one of the most popular destinations in the United States.

How Does San Francisco’s Existing Commercial Buildings Ordinance Impact Your Business?

Guidelines to Help Facility Managers Create a Commercial Energy Management Strategy

In San Francisco, California 56 percent of citywide greenhouse-gas emissions come from the operation, construction, and demolition of buildings. The City’s Existing Commercial Buildings Ordinance requires commercial buildings over 10,000 square feet to track energy use and provide an annual summary to both tenants and the public. The new city ordinance will also require such buildings to have a professional energy audit every five years. Do you know how your building’s energy use compares to others? Read on to learn more about commercial energy management tools available to building owners and operators.

Stay a Step Ahead with Remote Monitoring Solutions

CytexOne Troubleshoots Issues Before Human Detection

Unscheduled downtime of hospitality automation systems can drastically affect your Greenwich, CT hotel’s bottom line. Studies estimate that of the total time spent fixing a system issue, 76 percent of the time is spent before the fixing even begins.

  • 8% of the time is spent figuring out if there is a real problem
  • Another 20% of the time is spent diagnosing the problem
  • And 47% is finding the resources to fix the problem