How A Leading MedTech Company Save $4 Million with iLink’s Fleet Analytics Platform?

Client Overview

Our client is a global MedTech company dedicated to advancing healthcare through pioneering solutions in diagnostics, image-guided therapy, cancer care, and healthcare IT. With a legacy spanning over two centuries and a worldwide presence, the company has established itself as a trusted innovator, shaping the future of precision medicine and value-based care.

Challenges

● Rising Service Costs: Customer Service teams were overwhelmed with increasing service costs and inefficiencies due to reactive maintenance. ● Lack of Comprehensive Visibility: Limited visibility into fleet machine health, requiring multiple site visits to diagnose and resolve issues, inflating service costs and unnecessary parts replacements. ● Untapped Machine Data:The company had access to vast amounts of performance data, but lacked the capability to analyze and extract meaningful insights for predictive maintenance Solutions ● Fleet Analytics Platform: Strategically implemented an end-to-end Fleet Analytics platform to streamline their fleet management to maximize the value of assets, ensuring operational efficiency and customer satisfaction. ● Proactive Monitoring & Alerts:Predicts potential failures based on real-time performance trends, allowing engineers to address issues before they impact operations. ● Optimized Service Visits: Facilitated a 360-degree view of system health, enabling engineers to resolve multiple issues in a single visit, reducing travel costs and downtime. ● Predictive Maintenance Scheduling: Identifies optimal maintenance windows based on system usage, ensuring minimal disruption to business workflows.

Solutions

● Fleet Analytics Platform: Strategically implemented an end-to-end Fleet Analytics platform to streamline their fleet management to maximize the value of assets, ensuring operational efficiency and customer satisfaction. ● Proactive Monitoring & Alerts:Predicts potential failures based on real-time performance trends, allowing engineers to address issues before they impact operations. ● Optimized Service Visits: Facilitated a 360-degree view of system health, enabling engineers to resolve multiple issues in a single visit, reducing travel costs and downtime. ● Predictive Maintenance Scheduling: Identifies optimal maintenance windows based on system usage, ensuring minimal disruption to business workflows.

Business Impact

  • $4 Million Cost Savings
  • 900 Active Users Daily
  • 2000 Customers Served Worldwide
  • 360° Fleet Performance Visibility
  • Improved Productivity & Operational Efficiency
  • Self-Service BI Capability