A leading IoT Solution Provider Scaled Their Vibration-based Sensor Analytics Solution

A transformative shift towards scalable, efficient, and data-driven industrial IoT analytics, setting new standards for operational excellence and customer satisfaction in the industry.

Download the Case Study
Overview

Our client, a prominent industrial IoT solutions provider specializing in vibration-based sensor analytics, sought to enhance its platform for international expansion and growth. As a solution, we implemented a scalable, data-driven system that addressed these challenges and more, providing enhanced operational efficiency and customer satisfaction.

Objectives
  • Introduce a high-reliability mobile app to augment customer experience.
  • Safeguard existing investments while reducing technical debt.
  • Redesign data & analytics solutions with micro-services architecture.
  • Implement machine learning models for predictive maintenance and failure analysis.
  • Develop a robust Mobility solution.
About Client

Our client, a technology firm founded in 2000 by Penn State University researchers, specializes in energy harvesting, wireless sensors, and smart medical devices. Located in Pennsylvania, they drive sustainability and competitiveness through a Comprehensive Machine Health Platform, powering over 58M in unplanned downtime since 2018, and solving machine health problems worldwide.

Industry

Consumer Electronics and Software

Years in Business
20+ Years
Company Size
250+ Employees
Geographical Presence
USA East

Strategy: A Thoughtful Path to Success

Our strategic approach embodied a thoughtful assessment of the existing platform, the definition of an AWS-based target architecture, and the execution of diverse work streams. Continuous collaboration with the client organization ensured seamless progress. The following key components guided our strategic approach:

Icon 1

Comprehensive Assessment

Conducted a thorough evaluation of the client's existing platform to identify challenges and set clear objectives.

Icon 2

Strategic Recommendations

Outlined an AWS-based target architecture with actionable steps to achieve desired outcomes.

Icon 3

Thorough Implementation

Collaborated closely with the client to execute the strategy in phases, ensuring smooth integration and minimal disruption.

Icon 4

Collaborative Tracking

Maintained consistent communication with the client to monitor progress, adapt to changes, and achieve continuous improvement.

Challenges
  • Scaling existing solutions to accommodate market growth.
  • Transitioning from heuristic models to machine learning algorithms.
  • Ensuring seamless integration of various technologies and platforms.
  • Addressing the need for enhanced operational efficiency and reduced human dependency.
Technologies Used
Cloud Services:
Database:
Frontend:
DevOps:
Customer Testimony
“
We have been working closely with Info Services to evaluate and enhance our platform and engineering organization to improve our processes and accelerate our journey. Their team is incredibly professional and has provided us tremendous value in offering us insights into areas we need to improve. We are already seeing the benefits of acting upon their guidance and look forward to our continued partnership moving forward.
”
Engineering Chief of Staff from the Client Office
Solutions

Info Services implemented a scalable diagnostic solution by redesigning the architecture with microservices, reducing human dependency, and improving AWS resource optimization. Advanced AWS IoT, AWS Lambda, and AWS RDS were integrated for predictive analytics. Multiple ML models were integrated for maintenance predictions, alongside developing a high-reliability mobile app for enhanced customer experience.

Impact
Achieved a 30% reduction in AWS spend, optimizing infrastructure utilization.
Established a scalable, resilient, and secure data and analytics platform.
Introduced on-demand insights for field engineers through the new Mobility Solution.
Automated build and deployment processes, enabling efficient machine learning operations (MLOps).
Summary
Partnering with Infoservices, the USA-based leading consumer electronics solution provider transformed its IoT analytics infrastructure, achieving significant cost savings, scalability, and operational efficiency. Through a scalable, microservices-based model, they rapidly expanded their predictive maintenance and customer experiences, solidifying the client’s market leadership.

Download the case study here!

You’re one step away from building great software. This case study will help you learn more about how Infoservices helps successful companies extend their tech teams.

Want to talk more? Get in touch today!

Email us contactus@infoservices.com or give us a call at +1(734)-259-2361

tick

You will soon receive a download link via email.