Cost Savings And Business Benefits Enabled By UMH
The results cover energy costs, manual labor, and unplanned downtime, risk-adjusted and presented in present value.
What's inside the study
The complete three-year financial model: benefits, costs, NPV, and ROI
Energy cost savings from real-time visibility into consumption across sites
Labor savings from eliminating manual inspections and meter reading rounds
Operational efficiency gains from faster downtime detection and root-cause analysis
Full methodology: risk-adjusted calculations, 10% discount rate, three-year horizon
Download the full Total Economic Impact™ study of UMH

Executive Summary
Manufacturers are under increasing pressure to improve operational efficiency, reduce energy and labor costs, and modernize aging shop‑floor systems while preparing for stricter regulatory requirements and for the age of AI. Many organizations struggle to scale digital manufacturing efforts due to fragmented data, legacy systems, and lack of a unified operational data foundation.
UMH provides a AI data platform that enables manufacturing organizations to centralize IT and OT data in order to improve operational transparency, and support continuous improvement initiatives across sites. By establishing a unified data layer between shop floor systems and higher level applications, UMH helps organizations reduce costs, improve efficiency, and prepare for advanced analytics and AI.
UMH commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying UMH. The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of UMH on their organizations.
This study is commissioned by UMH and delivered by Forrester Consulting. It is not meant to be used as a competitive analysis.
Inside the financial model.
Forrester's TEI methodology quantifies four components for every investment. Here's what they examined for UMH.









