Scott brought Enertiv into three assets with a particular challenge in mind. That was to get the on-site teams to adopt the technology; because if there is no engagement, it’s no use to anybody. The on-site teams have consistently had a 95% compliance score.
Read MoreAt 6:45 pm on Saturday, Enertiv fired a notification that an elevator was idling during a high activity period, an indication that there was an impending issue. The next morning, the elevator actually broke down, proving that the initial alert had been predictive.
Read MoreProperty managers worked with Enertiv’s client success team to prioritize and strategically implement optimizations . Improving maintenance practices helped ensure that critical systems are functional and allowed property managers to focus more time on their tenants
Read MoreUnderstanding that it’s not enough to simply provide data, Enertiv’s client success team worked with all stakeholders involved to get the project across the finish line. The BAS was repaired for a cost of $29,000, which paid for itself in less than a month and increased NOI by $89,000
Read MoreIn the first month after the initial analysis was provided to the client, elevator entrapment fell 75% and the total amount of time reporter by the maintenance vendor fell 25%, even while preventative maintenance time reported increased nearly 300%.
Read MoreEnertiv used IoT data to quantify maintenance KPIs including mean time tor repair for a prominent real estate portfolio. This data was used to improve workflows and dramatically improve outcomes.
Read MoreTo maximize asset value by eliminating waste in operating expenses and increasing tenant satisfaction, our client piloted the Enertiv OPS platform in two of their multifamily residential buildings over a one year period.
Read MoreCommercial real estate landlords are approached all the time with proposals to retrofit their properties with more energy-efficient equipment. Data captured on an equipment-level by Enertiv can prioritize these investments and “ground truth” proposals against empirical cost and consumption data.
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