Developed an AI-powered Co-pilot Platform for a Mid-Sized HVAC Contractor, Driving 40X Increased Productivity

Contact Sales arrow right img
curve img
top bnr img

About Client

The NineHertz partnered with a mid-sized HVAC contracting firm established in the United Kingdom. The firm specializes in designing, installing, and supplying ventilation systems for residential and commercial building projects.

The client works with the team of ventilation specialists managing multiple concurrent projects through 2D construction drawings, driving a time-consuming procedure. As the project volume grew, it became further challenging to deliver faster, without compromising the quality or accuracy.

Key Challenges

The client traditionally relied heavily on the manual processes to complete ventilation take-offs. When it comes to scalability, the firm witnessed challenges like-

  • Time-Intensive Manual Workflow-Tasks such as measuring dampers, ductwork, and diffusers, while referring to 2D drawings, consumed 8-12 hours per project. It limited the number of estimates that the team could deliver in a given timeframe.
  • Costly Rewords with High Error Rates-The inherent human error rate of 15-20% often led to inaccurate quantity take-offs. The errors further caused cost overruns, strained client relationships, and scope for rework, impacting the firm’s reputation.
  • Limited Collaboration-The manual Excel sheets for reporting further added 2 more hours to every project take-off. The absence of a real-time collaboration feature created significant communication gaps with approval delays.
  • Lack of Scalability-It was next to impossible for the client to scale without adding headcounts. Accepting a new project simply meant overburdening existing staff or hiring new ones, both of which either influenced quality or cost.
Solutions

Our Solutions

Our team developed an AI-powered solution that enabled the client to deploy automation while eliminating the chances of human errors, avoiding cost overruns.

sol ic img

Automated AI-Powered Take-Off Processing

We built a system that could use deep learning algorithms and computer vision to detect and measure ductwork, diffusers, and dampers, directly from the 2-D drawings. The take-off processing, which used to take hours, could now be completed in 2 minutes without any inaccuracy or human intervention.

sol ic img

High-Precision AI Validation Engine

The built-in AI validation layer aligns the measurements with predefined industry tolerances, automatically reducing human errors by 15-20%. Our solution delivers 98% precision in take-off results while reducing the need for costly reworks.

sol ic img

Automated Report Generation and Real-Time Collaboration

The AI solution professionally generates the reports in Excel and PDF format within minutes. The cloud-based collaborative interface allows team members to work simultaneously on the report.

sol ic img

Scalable AI Infrastructure

The NineHertz built AI solution with a scalable architecture that could meet the changing business needs and project workload without compromising the outcome quality.

Impact

Impact That Drives Results

The deployment of the AI-enabled Co-Pilot platform delivered immediate results while transforming the business proficiency and operational efficiency.

97%

Reduced Take-Off Time

The implementation of an AI solution reduced the project estimation time from 15 hours to just 8 minutes, enabling specialists to focus on higher-value tasks.

98%

Accuracy Rate

Our solution reduced the human error rate in the process while bringing 98% accuracy in measurement and planning tasks.

95%

Reduced Labor Costs

The automation of the take-off process helped to reduce the need for a manual workforce for measurement, which resulted in significant cost savings for each project.

40x

Increased Productivity

The same team of specialists could now handle 40 times more quantity take-offs without adding more headcounts or workers.

impact img
impact img
impact img