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Learn How Medha Servo Drives Transformed Complex Project Management for Railroad Innovation

Medha Servo Drives Pvt. Ltd., a global leader in designing and manufacturing advanced products for the railroad industry, experienced rapid growth, leading to the challenge of managing multiple complex new product development projects.

This case study reveals how Medha transformed its project management processes to effectively track and forecast the progress of large-scale programs and projects.

Key takeaways include:

  • Strategies for managing complex new product development projects.
  • Tools and methods used to enhance tracking and forecasting.
  • How streamlined project management improved efficiency and outcomes.
  • Lessons learned from a global leader in the railroad industry.

The challenge

Rapid growth had pushed Medha into a position familiar to most engineering-led manufacturers: more concurrent NPD (new product development) projects than the existing planning approach could track. 

With multiple complex programmes running in parallel — each with its own milestones, dependencies, and approval gates — project leaders were spending more time chasing status than running their work. Forecasting accuracy was suffering, and on-time delivery against committed milestones was inconsistent. 

The team needed a system that could:

  • Track multiple, complex new product development projects in one place
  • Forecast and report on programme progress without manual roll-ups
  • Standardise how project managers planned, estimated, and reviewed work
  • Surface risks before they became schedule slips.

The solution

Medha adopted Nimble as the central work and project management platform across its product development organisation. The implementation focused on three things, in order:

  1. Standardising the project planning model: Common task breakdown structures, common estimation method, common milestone definitions across all NPD programmes. This was the foundation everything else built on.
  2. Centralising visibility: Bringing project status, dependencies, and resource load into a single view so programme leaders could compare across projects, not just within one.
  3. Closing the estimation-to-delivery loop: Using historical data from completed projects to calibrate estimation on new projects, which is what eventually moved the accuracy numbers.

The outcome

The combination of standardised planning, centralised visibility, and data-calibrated estimation produced two measurable changes that Medha tracks today:

  1. 80% improvement in project estimation accuracy: It means that planned effort vs actual effort is now consistently within tolerance, instead of routinely off.
  2. 60% improvement in on-time completion rate: It means that a far higher share of milestones land on the committed date.

“Nimble has helped our project estimation by 80% and our on-time completion rate has gone up by 60%.”

— G Jesu Naveen, Head — Process & Quality Assurance, Medha Servo Drives

Why this matters for engineering-led manufacturers

In a hardware or hybrid hardware-software environment, estimation accuracy is not a vanity metric.

It directly affects supplier commitments, capital allocation, and customer SLAs. Improving it by 80% removes a category of operational risk that manual planning cannot.

That’s the real story underneath the Medha numbers.

FAQ

1. What does Nimble do for engineering-led manufacturers like Medha?

Nimble brings multiple complex new-product-development programmes into one planning, tracking, and forecasting system — so leaders can manage at portfolio level instead of project-by-project.

2. Which Nimble capabilities drove the Medha results?

Standardised project planning templates, centralised portfolio visibility, and historical-data-calibrated estimation. The 80% and 60% improvements came from the combination, not from any single feature.

3. Is this case study relevant for our industry if we’re not in railroads?

Yes. The same operating-model problems apply to any company running multiple complex engineering programmes — automotive, aerospace, industrial equipment, medical devices, energy.

4. Can we see how Medha actually configured the platform?

The full case study (downloadable above) covers the configuration choices, integrations, and rollout timeline.