- The company’s new offering integrates IoT sensors for predictive maintenance
- A series of updates based on the new feature is expected to be rolled out for the rest of the calendar year
EZO has launched new features to its computerized maintenance management system (CMMS), which helps organizations manage maintenance activities for both commercial and institutional facilities.
The company’s new offering integrates IoT sensors for predictive maintenance and will be adding additional capabilities throughout the remainder of the year and the beginning of next.
EZO’s CMMS is a facility- and work-order management software designed to simplify maintenance operations through automated workflows, real-time intelligence, and proactive processes. Features such as the insights dashboard, custom reports, preventive maintenance scheduling, work order checklists, and invoicing tools are currently highly popular with customers, according to company officials.
Syed Ali Speaks
“EZO CMMS is bringing together emerging technologies that help our customers increase uptime and reduce costs,” said Syed Ali, founder and CEO, EZO, said in a press statement.
Launched last year, the company helps automate many aspects of the maintenance process as the CMMS allows businesses to operate with fewer disruptions, reduce costs, and increase equipment reliability, giving a competitive edge in their respective industries.
CMMS customers can use this feature at their desktop and on the go via the EZO CMMS mobile app. Ali cited a director of operations at a distribution and maintenance company who saved up to 20 hours of work weekly because of the customized dashboards and streamlined processes.
New Features Address Industry Challenges
EZO officials offer that the addition of IoT sensors for predictive maintenance will further enhance the system by allowing real-time data captured by IoT sensors to trigger automatic work orders, reducing manual effort, increasing uptime, and preventing hefty repair expenditure. The sensors collect data on such variables of temperature, humidity, or occupancy, to determine whether a work order needs to be generated for machinery or equipment.
The IoT-powered predictive maintenance module is a key enhancement to the EZO CMMS solution—supporting condition-based maintenance rather than time-based models, according to company officials. This shift enables businesses to monitor equipment conditions in real time, proactively addressing issues before they can result in costly downtime and aggravated repairs for organizations.
More Updates Planned
The company will have plan updates rolling out the rest of the year, including further automations and intelligence updates designed to streamline workflows, improve data-driven decision-making and automate complex processes.
These improvements come at a critical time for the maintenance sector, where downtime or emergency repairs of heavy machinery now increasingly have a massive monetary impact on businesses—resulting in staggering costs, decreased customer satisfaction, and loss of revenue.
“Our goal is to ensure that maintenance teams have access to the best tools to stay ahead of challenges and improve overall operational efficiency,” said Ali.