Remote monitoring and diagnostics:
Reducing maintenance & logistical costs with your products

Machine breakdowns and high mean time to repair are the biggest threats to a machinery manufacturer’s growth and reputation. Customers are increasingly frustrated by unexpected equipment failures, unplanned downtimes, and the rising costs these events bring. They often ask critical questions like:

Why can’t we monitor our equipment in real-time?
What are the signs of impending equipment failure we need to watch for?
Can’t we remotely troubleshoot?
Is the machine consuming more energy than necessary?

Without a clear focus on business outcomes, engineering teams risk developing solutions that fail to address these concerns. Installing sensors and gateways to collect data across hundreds of parameters is technically possible, it’s both time-consuming and expensive. Prioritizing data acquisition without ensuring interoperability with customers’ existing systems can limit ROI and reduce adoption rates.

Addressing these challenges requires a phased roadmap that balances data analysis with rapid deployment. Starting with a well-defined business case is critical - it should outline the ROI for scenarios like remote diagnostics, predictive alerts, and real-time performance optimization.

To implement an effective IoT-based remote monitoring and diagnosis solution, manufacturers need a scalable data architecture, reliable data collection systems, real-time analytics capabilities, and strict compliance with security standards. With these elements in place, manufacturers can stay ahead of customer demands and deliver measurable value.

How we work with you - our approach

At Saviant, we collaborate with machinery manufacturers to scale their digital infrastructure while strategically aligning scope and GTM priorities. Whether enhancing an existing product or platform or joining your team to build a new one, our approach includes:

1. Assessment

Conducting a 2-day rapid assessment to evaluate your digital capability maturity and develop a 3-year roadmap aligned with your organizational and product strategy.

2. Design

Creating a custom predictive maintenance solution, outlining potential ROI through a value map, and crafting a 1-2year GTM strategy aligned with your goals.

3. Implement

Delivering value through 90-day release cycles and building joint teams under independent SoWs and defined milestones to ensure timely and measurable outcomes.

4. Run

Ensuring continuous value delivery by monitoring systems, training your teams, maintaining operational standards, and providing ongoing production support.

One of the UK's largest
instruments engineering
companies implements IoT solution on Azure
for testing & monitoring industrial equipment

The company builds a cost-effective & robust IoT platform that holds the power to connect millions of sensors globally. It enables industrial systems & equipment to be more intelligent about their failures, availability, and operating efficiency.

Read detailed case study

Remote monitoring and diagnostics:
Reducing maintenance & logistical costs with your products