The right audience matters more than just visibility.
Machinery Lubrication India (MLI) is trusted by professionals responsible for:
✔ Reliability Engineering
✔ Maintenance Management
✔ Lubrication Excellence
✔ Condition Monitoring
✔ Asset Performance & Uptime
If your products or services support the industrial sector, your message needs to reach the people who influence plant reliability, operational efficiency, and purchasing decisions.
Advertise where industrial decision-makers learn, engage, and stay informed.
We’re inviting industry professionals to contribute to Machinery Lubrication India (MLI).
With a readership of 10,00,000+ industry professionals, MLI is a strong platform to showcase real-world expertise in lubrication, reliability, and maintenance.
The reality: A large percentage of bearing and equipment failures are lubrication-related and many are preventable with the right practices.
Which one do you see most often in your plant?
Most failures don’t come from machines.
They come from lack of the right knowledge.
Where do you upgrade your lubrication & reliability skills?
👇 Comment below
If your brand serves the lubrication, reliability, or maintenance industry, one question matters:
Are decision-makers seeing your brand before they shortlist suppliers?
Visibility is not about advertising more.
It’s about being present where engineers and plant leaders actively learn and evaluate solutions.
Plan your 2026 advertising visibility now and position your brand in front of the right industrial audience.
Meet Machinery Lubrication India at India Production Technology Week 2026
Region’s only magazine dedicated to Lubricants, Lubrication & Reliability
Join us in Pune from 9–11 April 2026 and connect with a trusted knowledge platform followed by maintenance and reliability professionals across industries.
📍 Pune
📅 9–11 April 2026
Be part of an event featuring:
• 450+ Exhibitors
• 15,000+ Solutions
From building a modern lube room to implementing real-time monitoring and training their lubrication team, they turned data into decisions — and saved over $650,000 in downtime-related costs. Here are the top takeaways from their reliability transformation journey 👇