Fast-moving consumer goods (FMCG) factories are some of the most complex and demanding manufacturing environments in the world. They have to produce large quantities of high-quality products at a rapid pace, while also maintaining strict safety and environmental standards.
The global Fast Moving Consumer Goods (FMCG) market size was valued at USD 11329646.0 million in 2022 and is expected to expand at a CAGR of 5.03% during the forecast period, reaching USD 15207825.5 million by 2028.
IoT devices can play a major role in automating FMCG factories, making them more efficient, productive, and sustainable. IoT devices can collect data from all aspects of the manufacturing process, from the raw materials to the finished product. This data can then be used to automate tasks, improve quality control, and reduce waste.
Table of Contents
- Types of IoT devices for FMCG factories
- Benefits of using IoT devices in FMCG factories
- The step-by-step process for implementing IoT devices in FMCG
- Step 1: Identify the specific areas of the manufacturing process that can be automated.
- Step 2: Select the appropriate IoT devices for each task.
- Step 3: Install and configure the IoT devices.
- Step 4: Connect the IoT devices to an IoT platform or edge computing system.
- Step 5: Develop applications to analyze the data from the IoT devices and generate insights.
- Step 6: Implement the insights to improve the manufacturing process.
- Conclusion
Types of IoT devices for FMCG factories
- Sensors: Sensors are one of the most important types of IoT devices used in FMCG factories. Sensors can be used to collect data on a wide range of parameters, such as:
- Temperature: Sensors can be used to monitor the temperature of food products during processing, storage, and transportation. This data can be used to ensure food safety and quality.
- Humidity: Sensors can be used to monitor the humidity of food products during processing, storage, and transportation. This data can be used to prevent mold growth and other food safety hazards.
- Pressure: Sensors can be used to monitor the pressure of food products during processing, storage, and transportation. This data can be used to detect leaks and other problems.
- Vibration: Sensors can be used to monitor the vibration of machinery and equipment. This data can be used to detect potential problems and prevent breakdowns.
- Motion: Sensors can be used to monitor the movement of products and materials throughout the factory. This data can be used to improve inventory management and reduce waste.
- Actuators: Actuators are another important type of IoT device used in FMCG factories. Actuators can be used to control physical systems, such as:
- Valves: Actuators can be used to control the flow of liquids and gases. This can be used to automate tasks such as filling machines and dispensing equipment.
- Motors: Actuators can be used to control the movement of motors. This can be used to automate tasks such as conveyor belts and assembly lines.
- Conveyors: Actuators can be used to control the movement of conveyor belts. This can be used to automate the transportation of products and materials throughout the factory.
- RFID tags: RFID tags are small tags that can be attached to products and materials. RFID tags can be used to track and trace products and materials throughout the manufacturing process. This data can be used to improve inventory management, reduce waste, and ensure product quality.
- Smartphones and tablets: Smartphones and tablets can be used to provide mobile access to real-time data from IoT devices. This data can be used by factory workers to make better decisions and respond to problems more quickly. For example, a factory worker could use a smartphone to monitor the temperature of a food product in real-time. If the temperature starts to rise, the worker could take corrective action to prevent the product from spoiling.
- Cameras: Cameras can be used to monitor the manufacturing process and identify potential problems. For example, a camera could be used to monitor a conveyor belt for damaged products.
- Wearable devices: Wearable devices can be used to monitor the safety and productivity of workers. For example, a wearable device could be used to detect if a worker has fallen or is spending too much time in one place.
Benefits of using IoT devices in FMCG factories
Improved efficiency
IoT devices can automate a wide range of tasks in FMCG factories, including:
- Production line monitoring: IoT sensors can be used to monitor all aspects of the production line, from the raw materials to the finished product. This data can be used to identify potential problems and take corrective action before they cause disruptions.
- Inventory management: IoT RFID tags can be used to track the movement of products and materials throughout the factory. This data can be used to optimize inventory levels and reduce waste.
- Predictive maintenance: IoT sensors can be used to monitor the condition of equipment and predict when maintenance is needed. This can help to prevent unexpected downtime and extend the life of equipment.
Increased productivity
IoT devices can help to improve the accuracy and consistency of the manufacturing process, leading to increased productivity. For example, IoT sensors can be used to ensure that products are filled to the correct weight and volume. IoT actuators can be used to control the movement of products and materials with greater precision.
Lowered costs
IoT devices can help to reduce costs in a number of ways. For example, IoT sensors can be used to monitor energy consumption and identify areas where savings can be made. IoT devices can also be used to reduce waste by improving inventory management and predictive maintenance.
Improved quality control
IoT devices can be used to monitor the manufacturing process in real-time and identify potential quality problems early on. For example, IoT sensors can be used to monitor the temperature and humidity of food products to ensure that they are stored and transported safely. IoT sensors can also be used to detect defects in products before they reach the customer.
Enhanced safety
IoT devices can be used to monitor for safety hazards and trigger alarms in the event of a problem. For example, IoT sensors can be used to detect smoke, gas leaks, and machine malfunctions. IoT sensors can also be used to monitor worker safety by detecting falls and other accidents.

The step-by-step process for implementing IoT devices in FMCG
Step 1: Identify the specific areas of the manufacturing process that can be automated.
The first step is to identify the specific areas of the manufacturing process that can be automated with IoT devices. This could include tasks such as:
- Production line monitoring
- Inventory management
- Predictive maintenance
- Quality control
- Worker safety
Step 2: Select the appropriate IoT devices for each task.
Once you have identified the specific tasks that you want to automate, you need to select the appropriate IoT devices for each task. There is a wide range of IoT devices available, so it is important to choose the right devices for your needs.
For example, if you want to monitor the temperature of a production line, you will need to select a temperature sensor. If you want to track the movement of products through the factory, you will need to select RFID tags.
Step 3: Install and configure the IoT devices.
Once you have selected the appropriate IoT devices, you need to install and configure them. This may involve mounting sensors, installing RFID readers, and connecting devices to the network.
Step 4: Connect the IoT devices to an IoT platform or edge computing system.
Once the IoT devices are installed and configured, you need to connect them to an IoT platform or edge computing system. This will allow you to collect data from the devices and analyze it to improve the manufacturing process.
Step 5: Develop applications to analyze the data from the IoT devices and generate insights.
Once the IoT devices are connected to an IoT platform or edge computing system, you need to develop applications to analyze the data from the devices and generate insights. These insights can then be used to improve the manufacturing process.
Step 6: Implement the insights to improve the manufacturing process.
Once you have generated insights from the IoT data, you need to implement them to improve the manufacturing process. This may involve changing production line settings, optimizing inventory levels, or implementing predictive maintenance procedures.
Conclusion
IoT devices can play a major role in automating FMCG factories, making them more efficient, productive, and sustainable. By collecting data from all aspects of the manufacturing process and using that data to automate tasks, improve quality control, and reduce waste, IoT devices can help FMCG factories improve their bottom line and better meet the needs of their customers.