The new DNA for Service Intelligence

We see manufacturers and service Providers of Enterprise complex equipment being reactive to service.  We  use ML and IOT (where applicable) to not just be proactive but to drive efficiency around device, people and parts.

eKryp, provides an Intelligence layer drive actions for:

  • Incident classification and assignment
  • Technician assignment
  • Resolution optimization
  • Warranty management
  • Parts planning
  • Refresh vs Repair timeline. 

Essentially, we make sure you send the right person to the right asset with the right part at the right time, every time!

How it Works?

Service Planning


Predicts future parts needs based on past parts replacement and demand trends

  • What is the parts replacement trend? Necessary? Compare technicians?
  • Refurbished vs. OEM part?
  • Parts need over life of equipment? Parts life time demand?
  • Types of Parts across equipment?


Deep insights into future failure trend and device failure trends to increase Uptime

  • How do I predict device downtime so we can fix before the device goes down?
  • Which components within the target equipment are causing issues?
  • Do we refresh device or continue to maintain?


Zoom in on people to reduce Service Operations cost so your margin on service increases

  • What events predict the maintenance schedule better?
  • How do I reduce multiple service calls? Issues causing re-dispatch?
  • Can we predict and fix related issues?
  • How do I optimize field service plan?

Want to learn more?

Download our Service Intelligence Whitepaper