The Value IoT Implementation Creates
Adopting IoT systems creates value on several levels. Cels identifies six key value drivers that make up the IoT maturity ladder.
Level 1: Visibility
Objectification and traceability form the basic foundation of digital transformation, the groundwork that every subsequent level builds on.
Objective Process Control
This means automated, machine-driven, continuous collection of the information a business process needs to run.
It reduces how much the process depends on people as a data source, eliminating the usual distortions: forgetting, not bothering, not knowing, lying, or simply making a mistake.
Key features:
- Automatic data collection from devices and sensors
- No manual entry, and no human factor to account for
- Continuous monitoring instead of periodic checks
- A single source of truth about the state of your objects
Examples:
- Fuel-level sensors instead of taking a driver's word for fuel consumption
- Machine-operation monitoring instead of shift-supervisor logbooks
- Temperature control in refrigerated units instead of manual checks
Traceability
This is the ability to trace the path of every object, event, and action. The full history of movements, states, and operations is available at any moment.
Key features:
- A history of every event, tied to a specific time and place
- Movement tracks for objects shown on a map
- Logs of commands, state changes, and incidents
- An audit trail of both user and system actions
Examples:
- A vehicle's trip history for any given period
- A part's path through the production floor
- A timeline of temperature changes in a warehouse
Why this matters for your digitalization strategy:
Level 1 answers the question, what's actually happening? Without objective visibility into your processes, making informed decisions simply isn't possible. Companies are often surprised by how different reality turns out to be from what they assumed about their own processes.
Cels handles data collection from any device, stores the full history, and visualizes it all, laying the foundation for every level that follows.
Level 2: Insight
Predictiveness and analytics mark the shift from simply stating facts to understanding their causes and forecasting what comes next.
Analytics and Pattern Recognition
The system doesn't just collect data, it helps you understand what that data means, through reports, dashboards, comparative analysis, and the detection of anomalies and trends.
Key features:
- A report builder that works with any parameter
- Dashboards covering key indicators
- Comparative analysis across objects and time periods
- Detection of anomalies and deviations from the norm
Examples:
- Fuel-consumption analysis broken down by driver, route, and season
- Performance comparisons across machines of the same type
- Identifying inefficient logistics routes
Predictiveness
This means forecasting events based on accumulated data, which helps prevent accidents, optimize maintenance, and plan resources.
Key features:
- Predictive maintenance based on equipment condition
- Forecasting when key milestones in a business process will be reached
- Demand forecasting based on historical data
- Early warnings about potential problems
- Integration with ML models for forecasting
Examples:
- Forecasting when produce will ripen or spoil
- Replacing a part before it fails, based on predicted wear
- Planning purchases based on consumption forecasts
- Warning of a likely accident hours before it happens
Why this matters for your digitalization strategy:
Level 2 answers two questions, why is this happening, and what happens next? Understanding cause and effect lets you move from reactive management (putting out fires) to proactive management (preventing them in the first place).
Cels provides analytics tools, reporting, and an API for integrating with ML systems, everything you need to build a predictive management model.
Level 3: Optimization
Resource efficiency and adaptive automation bring a systematic way to cut costs and boost productivity through automation.
Resource Efficiency
This covers optimizing the use of resources: fuel, energy, materials, and staff time, cutting operating costs through data and automation.
Key features:
- Monitoring and optimizing fuel, energy, and material consumption
- Reducing downtime for both equipment and staff
- Optimizing routes and logistics
- Saving energy through automated control
Examples:
- Saving 35,000 liters of oil through timely equipment maintenance
- Cutting equipment depreciation by 23%
- Route optimization that cuts mileage by 15 to 20%
Adaptive Automation
These are systems that adapt to changing conditions, responding to events automatically, without human involvement, based on predefined rules and scenarios.
Key features:
- Automation scripts built from states and transitions
- Automatic notifications, commands, and tasks
- Responses triggered by geofences, threshold values, or schedules
- Cascading scenarios that involve multiple devices
Examples:
- Automatic fines for speeding in a car-sharing fleet
- Heating that switches on when the temperature drops
- Automatically creating a task for the service crew when something breaks down
Why this matters for your digitalization strategy:
Level 3 answers the question, how do we do this better and cheaper? Automating routine decisions frees people up for work that actually requires creativity, and resource optimization delivers a measurable financial impact.
Cels offers a no-code scenario editor, a notification system, task management, a complete toolkit for optimization.
Servitization and autonomous systems mark the final stage of IoT's evolution, where technology stops being just a tool and becomes part of the business model itself.
Servitization
This is the shift from selling products to selling services. An equipment manufacturer turns into a service company: instead of selling the machine itself, you sell the hours it runs or the volume it produces. The IoT platform handles the metering, billing, quality control, and predictive maintenance behind that model.
Key features:
- Product as a service (X-as-a-Service)
- Payment based on consumption rather than ownership
- Guaranteed availability and quality
- An ongoing connection with the customer
Examples:
- Car sharing and scooter sharing: vehicles offered as a service
- Equipment as a service, billed by operating hours or output volume
- Monitoring as a service, sold as a subscription instead of a one-off project
Autonomous Systems
These are systems that make decisions and take action entirely on their own. IoT devices don't just collect data here, they analyze it and respond to events autonomously. Cels lays the groundwork for systems like this through its finite-state-machine architecture, data handlers, and AI/ML integration.
Key features:
- Self-diagnosis: the system detects faults and initiates repairs on its own
- Self-optimization: parameters adjust automatically to match conditions
- Self-recovery: the system returns to working order after a failure
- Coordination: devices interact with each other without a central dispatcher
Examples:
- Autonomous climate control in greenhouses, where sensors and actuators maintain conditions on their own
- Driverless warehouse logistics, with robots planning their own routes
- Smart grids that redistribute load automatically
Why this matters for your digitalization strategy:
Level 4 isn't just about optimizing processes, it's about changing the very nature of the business. Companies that reach this level stop competing on product price. Instead, they compete on service quality and how fast they can adapt to the market. Cel covers the entire path through all four levels, letting you start with simple monitoring and gradually evolve toward autonomous systems, all without ever switching technology platforms.
Summary Table of IoT Maturity Levels
| Level | Name | Key Capabilities | Answers the Question |
|---|
| 1 | Visibility | Objectification, traceability | What's happening? |
| 2 | Insight | Analytics, predictiveness | Why? What's next? |
| 3 | Optimization | Efficiency, automation | How to do it better? |
| 4 | Transformation | Servitization, autonomy | How to change the business? |
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