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Jan 12 2026

Top 5 ways OEMs Can Use IoT Data to Improve Customer Retention

customer retention

Customer Retention is Powerful

Customer retention has become one of the most powerful levers for OEM growth. While acquiring a new customer can cost 5–10 times more than supporting an existing one, many OEMs still rely on reactive, manual communication methods that leave end-users frustrated and underserved. IoT data changes everything.

With connected equipment and platforms like Scante that turn raw data into user-friendly insights, OEMs can dramatically improve customer satisfaction and retention. Here are the top five ways IoT data is transforming the long-term relationship between OEMs and their customers.

1. Delivering Predictive Insights Instead of Reactive Support

End-users overwhelmingly prefer proactive service experiences. IoT sensors allow OEMs to detect early warning signals—abnormal temperature, vibration, pressure, battery status, fault codes, and more—before they become costly failures. When customers receive an alert that maintenance is needed soon, trust grows. They feel supported instead of stranded.

Platforms like Scante present this information in clear, branded dashboards so customers can view upcoming maintenance needs with zero technical interpretation. Predictive insights make the OEM an active partner rather than a passive supplier.

2. Reducing Downtime With Real-Time Diagnostics

Downtime is expensive. Whether a customer is running manufacturing equipment, fleet machinery, environmental systems, or safety devices, every minute the equipment is offline impacts their business. IoT data gives OEM technicians the ability to troubleshoot issues remotely, often diagnosing the cause before the service call begins.

This leads to faster resolutions, fewer site visits, and a better overall customer experience. When an OEM can say, “We see the issue and are already addressing it,” customer loyalty increases instantly.

*For more real-world, practical uses for the Scante system check out our Case Studies here.

3. Creating Personalized Maintenance Schedules

Not all equipment experiences the same wear or usage. IoT allows OEMs to build personalized maintenance schedules based on actual operating conditions instead of generic time-based intervals. Customers love this because they get exactly the level of support they need—no more, no less.

Scante’s ability to gather real-world usage data also gives OEMs powerful insights they can use to design maintenance packages, upsell extended warranties, and deliver more accurate service reminders.

4. Enabling Seamless Parts Ordering and Inventory Predictability

Knowing when a part is likely to fail is just the beginning. IoT data also helps OEMs understand which parts are wearing out across an install base, enabling them to stock inventory more accurately. Customers benefit from shorter lead times and a more streamlined ordering process.

When paired with Scante’s white-labeled parts catalog and e-commerce capabilities, the OEM can deliver a complete closed-loop experience: detect issue → notify user → recommend part → place order → track shipment. Customers stay loyal to OEM parts because the process is painless.

5. Strengthening Relationships Through Transparent Equipment Insights

One of the biggest frustrations end-users express is the lack of visibility into equipment performance. IoT dashboards fix that problem. When customers can easily log in and see equipment health, location, usage, historical performance, alerts, and documentation, they gain a sense of control and partnership with the OEM.

This transparency reinforces trust and reduces support friction. Customers no longer have to call for simple questions—they can self-serve through the OEM-branded portal built on Scante.

Ready to Retain Your Most Valuable Customers?

If your business is focused on retaining it’s most valuable customers, Scante has a fast path to serve them while creating happier customers, and improving profitability.

Learn more at Scante.net or request a personalized demo to see how data-triggered service can work for you.

Visit Scante.net to learn more or schedule a demo.

Let’s talk. Start a conversation here.

Written by Jon Prescott · Categorized: AI, CX, IIoT, IoT · Tagged: AI, alerts, API, artificial intelligence, competitive advantage, Data Exchange, data visualization, data-driven decision-making, dynamic forecasts, equipment monitoring, fleet operations, forecasting, IIoT, Industrial Internet of Things, Internet of Things, IoT, Machine Learning, OEMs, PdM, Predictive Maintenance, real-time data, regression modeling, regression models, rental fleet management, Uptime

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