Verdafero adds predictive analytics to enable commercial property owners to forecast utilities costs for individual buildings or a portfolio.
Verdafero Adds Predictive Analytics to Utility Management Platform
SAN FRANCISCO – Verdafero Inc. is proud to announce a new predictive analytics service module for their Utility Analytics Software Platform. This new capability allows commercial and hospitality property owners to forecast future usage and costs of their utilities for individual buildings or their entire property portfolio based on real-world influencing factors such as weather, events and utility price increases.
This unique service puts Verdafero at the leading edge of commercial and hospitality property service software providers. By helping commercial property owners and operators better understand their utility usage now and in the future, this new predictive capability can help them control utility consumption and costs, budget for future expenses and predict asset value increases all at the touch of a button through Verdafero’s comprehensive software platform.
The ability to bring predictive analytics to future utility usage based on real influencing factors rather than relying on traditional guess work is of great value to the building owner / operator and is highlighted by Charles Smith, CEO of Hotel Sustainability Solutions, Inc. (HSSI) and Integrated Sustainability Solutions, Inc. (ISSI), leading sustainability solutions companies, and a premier Verdafero channel partner, “Up until now our customers have relied on best guess predictions for budgeting operational cost purposes. Now, with this new predictive analytics module, they can confidently set budgets and cost / usage increases based on predictive models taking into account multiple external factors.”
Dr Alastair Hood, CEO of Verdafero Inc. added, “As a leader in utility analytics, we believe that our announcement today marks a significant step forward for the worldwide commercial and hospitality property market’s ability to not only make better informed decisions on current utility costs and usage but also make confident decisions about future costs and usage based on predictive analytics. We are proud to have achieved this milestone. It is an important acknowledgement of our accomplishments in reducing utility usage and costs in key industry segments.”