Manufacturing facilities are active, busy settings. In addition to challenges such as streamlining operations and updating equipment and technology, these businesses also require reliable and effective mass-notification solutions. These technologies keep employees both safe and knowledgeable while maintaining operations and minimizing downtime.
CBTS offers manufacturing facilities an innovative collaboration solution called Hosted Enterprise UC. CBTS Hosted Enterprise UC is a cloud-based, fully hosted unified communications (UC) solution.
The InformaCast Fusion mass-alert technology is a new component of our Hosted Enterprise UC solution. The cloud-based mass-alert system from Singlewire Software is fully integrated into Hosted Enterprise UC. It can also be integrated into existing systems, eliminating the need for costly upgrades. This solution is ideal for manufacturing facilities, where challenges such as connecting multiple buildings and communicating in noisy environments are common.
Mass notification technology reaches all employees across all locations, delivering both audio and visual messages clearly and immediately. These messages can be used for:
Mass-notification technologies are vital for manufacturing facilities. They provide innumerable benefits, including:
Hosted Enterprise UC provides CBTS clients with premier mass-messaging capabilities. CBTS supplies this technology to hospitals and school systems, where mass notifications can help save lives and alert entire campuses in the event of an emergency. This technology is also critical for manufacturing facilities, which need to quickly, efficiently, and successfully reach a large number of employees in the event of a crisis.
If your manufacturing facility needs advanced mass-messaging capability, talk to the experts at CBTS.
Learn about best practices for effectively communicating emergencies.
Check out our three-part series on creating a roadmap for Unified Communication as a Service (UCaaS):
Part I: Start with a deep assessment
Part II: Creating a process analysis