Manufacturing and Industrial

Enhancing Industrial Efficiency: AR Remote Assistance App Reduces Machine Downtime by 40% for a Global Manufacturing Leader

Industry Manufacturing & Industrial

  • Client Revenues

    $10B+ Client Revenues

  • Successful Years

    12+ Successful Years

  • IT Ninjas

    1000+ IT Ninjas

  • Successful Projects

    5000+ Projects

Client's Testimonial

"The AR remote assistance platform from Developers.dev has fundamentally changed our service model for the better. Our senior experts can now be 'virtually' on-site anywhere in the world in minutes. We've cut resolution times in half and the cost savings are immense. This was a complex project, and their team's technical execution was flawless."

CEO, Fin-Pay

David Chen, VP of Field Operations

Client Overview

Our client is a multinational corporation with over $1 billion in annual revenue, specializing in heavy industrial machinery. A key operational challenge was the maintenance and repair of their equipment located at customer sites worldwide. When a machine went down, it required flying in a senior specialist, leading to significant travel costs and prolonged, expensive downtime for their customers.

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Problem and Challenges

Problem

The reliance on physical travel for expert technicians created a major bottleneck. It was slow, expensive, and not scalable. The client needed a way to leverage the expertise of their senior engineers across multiple locations simultaneously, empowering local technicians to perform complex repairs with expert guidance.

Key Challenges

key challenge

Delivering stable, high-quality video streaming and AR annotations:

over variable network conditions.

key challenge

Creating an intuitive user interface:

that could be used hands-free by technicians in the field.

key challenge

Ensuring enterprise-grade security:

for proprietary technical information.

key challenge

Integrating the solution:

with their existing knowledge base and ticketing system.

Fintech Mobile Pod Solution

Our Solution

Developers.dev's Augmented-Reality Experience POD designed and built a secure, cross-platform AR remote assistance application. The app allows a local technician to stream video from their smartphone or smart glasses to a remote expert. The expert can then use AR to place 3D annotations, highlight specific parts, and display technical documents directly onto the technician's view of the machine.

🗣️ Real-Time Communication Engine:

We built the app on a robust WebRTC framework to ensure low-latency video and data transfer.

👓 Hands-Free Smart Glass Support:

The application was optimized for devices like the RealWear HMT-1, allowing technicians to work with both hands while receiving guidance.

✨ Advanced AR Annotation Tools:

The remote expert has a suite of tools to draw, place arrows, and overlay 3D markers that "stick" to the physical equipment as the technician moves.

📚 Secure Knowledge Base Integration:

We developed a secure API to pull schematics, manuals, and repair histories from the client's internal systems directly into the AR view.

Implementation and Execution

Implementation and Execution

Discovery & Architecture:

We conducted a two-week discovery sprint to map out the existing infrastructure and design the new real-time architecture.

Implementation and Execution

Infrastructure as Code:

The entire AWS infrastructure was provisioned using Terraform to ensure a repeatable and version-controlled environment.

Implementation and Execution

Agile Development:

The project was managed using a 2-week Scrum cycle, with daily stand-ups and a shared Jira board for full transparency.

Implementation and Execution

CI/CD Pipeline:

We implemented a Jenkins pipeline for automated testing and deployment, enabling rapid and reliable releases.

Implementation and Execution

Performance Testing:

Rigorous load testing was conducted to ensure the system could handle 3x the current peak transaction volume without performance degradation.

Implementation and Execution

Phased Rollout:

The system was rolled out to a small subset of merchants first, allowing for fine-tuning before a full-scale launch.

Positive Outcome

📉 40% Reduction in Average Machine Downtime:

Faster diagnosis and guided repairs meant customers were back online in a fraction of the time.

💰 $1.2M+ Annual Savings in Travel Costs:

The need to fly experts to sites was virtually eliminated for all but the most severe issues.

✅ 75% Increase in First-Time Fix Rate:

Local technicians, empowered by expert guidance, were able to solve problems correctly on the first attempt much more often.

📈 Improved Technician Training & Knowledge Transfer:

Junior technicians learned faster by performing complex repairs under the live guidance of a senior expert.

Positive Outcome for Fin-Pay App

Why Choose Us

🤝 Ecosystem of Experts:

Ecosystem of Experts.

✅ Verifiable Process Maturity:

Verifiable Process Maturity.

🎯 Outcome-Oriented Approach:

Outcome-Oriented Approach.

🧑‍💻 100% In-House Talent:

100% In-House Talent.

🔗 Deep Integration Expertise:

Deep Integration Expertise.

🛡️ Future-Proof Architecture:

Future-Proof Architecture.

🇺🇸 USA-Focused Delivery:

USA-Focused Delivery.

🔒 Risk-Free Engagement:

Risk-Free Engagement.

®️ Full IP & White Label Rights:

Full IP & White Label Rights.

Conclusion

This case study proves that AR is a powerful tool for solving tangible, high-stakes industrial problems. By creating a solution that directly addressed the client's core challenges of cost, time, and expertise scaling, Developers.dev delivered a platform that provided an immediate and substantial return on investment.