A Smarter Rental Fleet
In the rental equipment world, uptime isn’t just desirable — it’s essential. When your generator powers a critical site — a hospital, a construction project, or a big event — failure isn’t an option. Your end-users depend on reliable, uninterrupted performance. And that promise only gets harder to keep as your rental fleet grows across multiple locations and thousands of units.
That’s where Scante comes in.
We help rental operations go beyond equipment delivery — enabling them to monitor, predict, and support the real-world performance of their rental assets using IoT telemetry and AI model-based forecasting. All are delivered through branded mobile apps and web portals that make your customer experience seamless and intelligent.
The Real Challenge: Fleet-Wide Visibility
Rental generators and other large rentals don’t live in controlled conditions. They run in:
- 24/7 heavy load operations
- Remote or rotating duty cycles
- Varied fuel, temperature, and humidity conditions
- Weather-sensitive, event-driven demand spikes
Without live insights, OEMs and their customers are flying blind. They don’t know:
- Where the unit is
- How long a unit has been active
- When it will need fuel or service
- How environmental conditions affect performance
- If it’s at risk of failure
Scante solves this visibility gap — by combining real-time location and IoT data with AI-driven predictions in a single, white label platform.
Step 1: Real-Time Equipment Data from the Field
Every generator in the rental fleet is equipped with IoT sensors that capture:
- Location
- Runtime hours
- Fuel level and burn rate
- Oil pressure and temperature
- Voltage output and electrical load
- Ambient heat and humidity
- Alarm codes and fault events
Scante gathers this data and streams it directly into your branded online portal — giving OEMs and their end-users instant visibility into every deployed unit.
Step 2: Forecasting the Future with AI Regression Models
IoT provides the raw data. Scante’s AI tools provide the insight.
Our models analyze real-world machine usage and environmental trends across fleets to predict:
- Time until fuel depletion
- Remaining life of oil or other filters
- Optimal maintenance windows
- Risk of failure based on factors like load and temperature
For example:
“Unit 342 is operating at high load in 95°F conditions. Based on current burn rate and ambient temperature, it will need a refuel in 3.1 days and an oil change in 5.4 days.”
These aren’t static guesses — they’re dynamic forecasts powered by AI-enabled machine learning and real-world behavior.
Why OEMs Choose Scante for Rental Fleet Operations
✅ No More Guesswork
Fuel trucks and service crews are dispatched just in time — not too early, not too late.
✅ Proactive Maintenance
Get ahead of failures with early warnings triggered by temperature spikes, abnormal vibration, or pressure drops.
✅ Smarter Inventory Planning
Only stock and deliver what’s actually needed based on consumption patterns.
✅ Better Rental Rotation
Know which units are overworked, underused, or due for downtime — and optimize deployments accordingly.
Dashboards That Drive Action
Scante-powered portals show:
- Fuel run-time estimates
- Predicted service intervals
- Geo-mapped equipment usage
- Alerts for upcoming maintenance or at-risk units
Even better, Scante can surface these insights through customer-facing apps — building trust and keeping rental fleet end-users informed with the same data the OEM sees.
From Rental Fleet to Real-Time Support
With Scante, OEMs don’t just rent equipment — they deliver a smarter, more proactive experience. Our scalable SaaS platform helps you:
- Launch branded rental support tools fast
- Leverage IIoT data without building your own platform
- Use AI models to drive better outcomes for your end-users
Let’s Help Your Rental Fleet Run Smarter
Want to see how Scante enables predictive rental monitoring in the real world?
Let’s talk. We’ll show you how to connect your rental fleet, power your service model, and give your end-users a better experience — all with your brand front and center.
