Tuesday, May 19, 2026
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Hensel Phelps Saves $342K with Track3D on SFO Project

Hensel Phelps saved $342,000 using Track3D on the SFO Courtyard 3 Connector project, highlighting the impact of machine learning in reducing labor costs and improving efficiency.

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Hensel Phelps Saves $342K with Track3D on SFO Project
IB_KEY_FACTS:[{"stat":"$342,000 saved","label":"Hensel Phelps saved $342,000 in labor costs.","sublabel":"Achieved on the SFO Courtyard 3 Connector project using Track3D."},{"stat":"3,000 hours reduced","label":"Nearly 3,000 hours of manual coordination eliminated.","sublabel":"Result of using Track3D's machine learning capabilities."},{"stat":"3 major reworks prevented","label":"Three major reworks avoided on the project.","sublabel":"Contributed to significant time and cost savings."}]

Hensel Phelps, a major player in the construction industry, has demonstrated the power of technology to drive efficiency and cost savings. The company recently announced that using the Track3D platform on the $300 million Courtyard 3 Connector project at San Francisco International Airport resulted in saving $342,000 in labor costs.

What Happened
Hensel Phelps, based in Greeley, Colorado, has been leveraging the Track3D platform since 2023. Track3D, a progress-tracking tool that uses machine learning to monitor construction based on visual data, was piloted on a project in Denver before being deployed on the San Francisco airport project. The platform enabled the contractor to eliminate nearly 3,000 hours of manual coordination and avoid three major reworks, contributing to the significant cost savings. The success of this implementation led Hensel Phelps to sign an enterprise agreement with Track3D earlier this year.

Why It Matters for the AECM Industry
The integration of advanced technology like Track3D in construction projects highlights a pivotal shift towards increased efficiency and cost-effectiveness in the industry. For project managers and engineers, the reduction in manual coordination hours and prevention of reworks translates into more streamlined operations and improved project timelines. In a sector often challenged by labor shortages, such tools enable teams to achieve more with less, optimizing resource allocation. Moreover, the use of machine learning to track progress ensures that project data is standardized and accessible in real-time, enhancing decision-making and reducing the risk of costly errors.

What's Next
Following the success at San Francisco International Airport, Hensel Phelps plans to continue expanding the use of Track3D across its projects nationwide. The company’s approach to technology adoption—emphasizing field-driven feedback and regional pilot testing—serves as a model for other firms aiming to integrate innovative solutions effectively. Industry professionals should watch for further developments in project-tracking technologies and their potential to redefine construction project management standards.


Source: [Construction Dive]. Read the original story ->

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