The Internet of Things sounds like a technology concept that belongs in an innovation lab somewhere. In practice, it is something much simpler and at the same time much more powerful: connecting the physical world to your digital systems.
A temperature sensor in a cold store that sends an alert when the limit is exceeded. A machine that reports by itself when a service is due, based on how much it has actually run rather than on a fixed calendar. A building that tracks its own energy use and adjusts heating and cooling to occupancy and the weather forecast. A vehicle that sends its location, driving style and fuel consumption to a fleet management environment. A production machine that flags a deviation in the machining process before the quality visibly deteriorates.
Each of these examples has one thing in common: the sensor or device does not need to understand anything. It measures and sends. What happens next (the decision, the action, the alert, the report) is up to you. And that is exactly where the value of IoT is decided: not in the device but in the connection with your processes and your people.
Many organisations start with IoT and get stuck on one of the four layers that together make up a working solution.
The physical side: temperature sensors, pressure sensors, motion detectors, GPS trackers, energy meters, smart locks, cameras, machines with a network interface. They measure, they send.
How does the data get from the device to a platform? Through a range of protocols (MQTT, CoAP, BACnet, Modbus, Zigbee, Sigfox) chosen according to the application and the environment. Industrial environments call for different protocols than smart buildings or logistics.
The data has to go somewhere, be validated, stored, aggregated and made available. An IoT platform takes care of device management, data streams, rules and alerting, and connects the IoT data to your existing business systems.
This is the layer that delivers the most value and is most often forgotten in the selection phase. A sensor that measures and a platform that stores is a database. The value arises when that data leads to an action: a work order, an alert, an adjustment to a process, a purchase order, an AI analysis that recognises a pattern people would miss.
We help you with all four layers, but we always start with layer four, because that determines what the other three need to be able to do.
Zoho IoT is a low-code IoT platform that Zoho launched in September 2024 and that has been evolving rapidly ever since. It stands out on three points that matter for business implementations.
Zoho IoT has pre-built vertical solutions for industrial IoT, smart buildings, energy management and connected OEMs. Features such as GPS tracking, alarm management, predictive maintenance based on sensor data, edge computing and OTA device updates are built into the platform as standard.
The integration with Zia Agents, Zoho's AI agent platform, was added in 2025, allowing AI agents to actively reason about IoT data and carry out actions within your Zoho environment based on it.
Zoho IoT supports more than forty IoT protocols, including MQTT, CoAP, BACnet and Modbus. That means the platform works with a wide range of hardware (industrial machines, building automation, vehicles, energy meters) without you needing a separate platform for each category.
The visual modelling tool lets you build and adapt IoT applications without extensive programming knowledge. That fits the Zoho philosophy and makes it possible to build or adapt IoT applications without calling in a developer every time.
This is where Zoho IoT makes the difference for organisations that already work with Zoho. Sensor data connects directly to Zoho CRM, Zoho Analytics, Zoho Creator, Zoho Desk and Zoho FSM (field service management). A machine that indicates it needs maintenance can automatically create a work order in Zoho Desk and a task in Zoho CRM for the account manager. That is the fourth layer of IoT: action, without a manual step in between.
This is the combination that turns IoT from a reporting system into a system that acts.
A sensor measures continuously. That produces data streams too large for a person to look through. What AI does is solve that data problem: not by showing everything, but by flagging what is relevant and then doing something with it.
The connection with Zia Agents makes this concrete within the Zoho environment: agents that consult sensor data, recognise patterns and, based on them, carry out actions in Zoho CRM, Desk or FSM, with the governance layer that determines what the agent may do on its own and when a person decides.
IoT is not relevant to every organisation or every question. It delivers the most when there are physical assets that can be measured, when the data leads to action, and when the scale is large enough to earn back the investment.
We can now see from the sensor data when a machine needs maintenance, instead of waiting for it to break down. That makes our planning a lot calmer.
IoT projects rarely fail on the sensor. They fail on the question nobody asked: what are we going to do with the data?
We start with that question. Which decision or action should the data make possible? What is the business case: the concrete figure in euros, hours or risks that justifies the investment? Which systems need to receive and process the IoT data? And how do you make sure the connection keeps working when one of those systems changes?
Our knowledge is broad enough to answer those questions. We know the integration layer: we connect applications to each other every day. We know the AI layer: we build Zia Agents and Creatio AI agents for a wide range of process automation. We know the no-code development layer: we build applications in Zoho Creator and Zoho IoT that turn business logic into working software. And we know the business process side: we know how a work order, a quality report or a service ticket works in practice.
That makes us a different kind of partner from an IoT specialist who only knows the connectivity layer, or a CRM partner who does not know how a sensor works.
IoT means connecting physical devices (machines, sensors, vehicles, buildings) to digital systems, so that the data those devices generate leads to better decisions or automatic action. It is relevant when you have assets you want to monitor better, when you want to base maintenance on actual use rather than a schedule, or when you want to automate processes that currently depend on manual measurements or reports.
Zoho IoT is a low-code IoT platform launched in 2024 that supports more than forty protocols, from MQTT to BACnet and Modbus. It stands out through its broad integration with the Zoho suite: sensor data connects directly to Zoho CRM, Analytics, Desk and FSM, so IoT data leads straight to action in your business systems. For organisations that already work in the Zoho environment, it is the lowest threshold to a working IoT application.
AI adds the reasoning layer that makes IoT data usable at scale. A sensor measures everything; AI recognises what is relevant: a pattern that points to an approaching fault, an anomaly in energy use, a logistical inefficiency. An AI agent can then act automatically: create a work order, send an alert, adjust a schedule. Within the Zoho environment, Zia Agents does this in combination with the IoT data supplied by Zoho IoT.
That depends on the number of devices, the protocols required, the integrations and the scale. A proof of concept with ten sensors in one location, connected to an existing system, can be delivered within weeks on a limited budget. A rollout across hundreds of machines at several locations, with edge computing, an AI layer and integration into multiple systems, is a project of several months. We always work out the business case before investing in the technology.
As soon as a sensor is linked to a person (a location tracker with a regular driver, a badge system, motion sensors on the shop floor), personal data is being processed. The normal GDPR requirements then apply: legal basis, proportionality, retention period, the right to be informed and access control. We include that as standard in the architecture design and help with the DPIA when the application requires one.
Yes. Depending on the requirements and the location, there are several options: LoRaWAN for low power consumption over longer distances, mobile networks (4G/5G), satellite communication for remote locations, and edge computing, where processing takes place on the device or a local server and only the relevant results are sent to the cloud. The choice depends on how often the data needs updating, the available bandwidth and the cost per connection.
A proof of concept with a limited number of devices and one integration is usually up and running within a few weeks. A production rollout with hundreds or thousands of devices, multiple integrations and an AI layer is built up in phases over several months. The technology is rarely the bottleneck; gathering the requirements, agreeing the business case and the organisational side of the rollout are.
Yes. Zoho IoT is our primary platform for organisations that already work in the Zoho environment, but we advise and implement more broadly than one platform. For questions where Zoho IoT is not the best choice (specific industrial protocols, existing platform investments, or requirements that fall outside the platform), we give independent advice and implement with the platform that fits.
Mobile XL gives independent advice on technology, platform and architecture, and implements everything from sensor to action.
