IoT in logistics: use cases, benefits & future trends

August 12, 2025
Stepan Petrov

by Stepan Petrov , 

Head of IoT Center of Excellence

IoT in logistics is used to streamline various supply chain aspects, such as real-time tracking of shipments and transportation, warehousing and inventory management, and delivery routes optimization, thereby reducing costs and improving companies’ operational efficiency.

With 5+ years of experience in IoT development, Itransition offers a comprehensive range of services to help create a reliable and secure IoT ecosystem for logistics companies of all sizes and help enhance the transparency and efficiency of their supply chain management.

IoT in logistics

IoT in logistics market statistics

Scheme title: Internet of Things in logistics market from 2025 to 2030
Data source: Research and Markets

$119.86 bn 

forecasted IoT in logistics market in 2032

Research and Markets

14.5% 

the CAGR of the IoT in the logistics market from 2025-2030

Research and Markets

Key IoT applications in logistics

Shipment tracking & monitoring

Logistics companies leverage IoT solutions for the ongoing monitoring of shipment location throughout the entire supply chain. Moreover, IoT sensors record the shipment’s geolocation and its transportation environment’s temperature and humidity, so companies can quickly spot violations of storage conditions or unauthorized access. This helps reduce loss and damage of shipments and prevents tampering or theft during transportation.

Fleet management

IoT solutions complemented with GPS tracking and telematics technologies give logistics companies real-time visibility into key vehicle parameters, such as speed, technical condition, fuel level, and operating modes. Using this data, companies can quickly detect inefficiencies in a vehicle’s performance, like engine overheating or excessive fuel consumption, and take measures to fix them. Thus, companies can schedule timely vehicle maintenance, reducing fuel and labor costs and achieving more efficient fleet management.

Warehouse management

The use of IoT devices, such as sensors, GPS trackers, and RFID tags, in warehouses allows logistics companies to obtain accurate data on their inventory levels and product movement, keeping track of where a particular item is located and its current condition or how much of a certain product remains in the warehouse at any time. This simplifies warehouse operations and allows companies to replenish stock levels in a timely manner, and quickly identify product damage.

Route optimization

Another widespread use of IoT in logistics is to equip vehicles with IoT devices that track traffic parameters, the current location and technical condition of the vehicle, weather changes, and the situation on the road. By leveraging this data, logistics companies can efficiently tailor routes based on current road and vehicle conditions and delivery specifics, avoid unexpected delays, and reduce carbon emissions, thereby improving delivery times and lowering costs.

Predictive maintenance

IoT sensors help companies keep track of how well vehicles are performing, collecting data on their temperature, wear and tear, energy consumption, and other essential metrics. This enables logistics companies to plan equipment maintenance in advance, avoiding costly repairs, downtime and extending the machinery's lifecycle. Also, if something goes wrong, the IoT system can signal potential problems to prompt logistics managers to take immediate action.

Cold chain monitoring

Connected devices placed in trucks and warehouses can continuously monitor the storage conditions of temperature-sensitive products like fresh produce and medications, including temperature, humidity, and vibration levels to detect any deviations from established norms. These actionable insights help companies prevent problems like product spoilage or regulatory violations.

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Prominent real-life application of IoT in logistics

Drone delivery POC application by Itransition

Itransition helped a startup develop a mobile application for managing contactless delivery of goods using drones. The app allows users to set a landing zone for delivery using their location data or photos of the area, while operators can track the route and manually control the drone's flight, taking into account obstacles on the ground for better delivery. The application also features built-in analytics that enables the collection and processing of data to optimize delivery processes and enhance the reliability and accuracy of future operations.

Robotic inventory management automation by Amazon

Amazon uses more than 750,000 automated robots in its logistics centers, which creates one of the most powerful smart logistics ecosystems. After the purchase of the robotics company Kiva Systems in 2012, Amazon introduced the first Kiva mobile robots. The company now utilizes a variety of other types of robotics, including manipulators for packing, sorting, and placing goods, as well as autonomous transportation platforms.

Each robot is equipped with IoT sensors, cameras, and navigation systems that allow employees to monitor their location, technical status (battery charge and issues), and operational workload in real time. These IoT-based robots enable Amazon to significantly enhance the efficiency of their logistics processes, making workplaces more productive, safe, and efficient for employees.

Amazon image

Image title: Amazon robotics for automating inventory management
Image source: Amazon

Volvo’s autonomous trucks

Volvo created autonomous trucks that can operate safely in different weather conditions. They are equipped with high-precision IoT sensors, including cameras, radar, lidar, microphones, and satellite navigation systems, and software which is configured based on the conditions in which the truck is expected to operate. Moreover, the truck’s vital systems are duplicated to ensure it continues to run safely even if something breaks.

The technology is improving rapidly and has already proven to dramatically enhance road safety for drivers and reduce accidents in various weather conditions.

Autonomous trucking is more than an evolution - it creates a new value proposition, redefining how goods are transported across supply chains.

author's photo

Nils Jäger

President, Autonomous Solutions, Volvo Group

Volvo image

Image title: Autonomous trucks fitted with IoT sensors
Image source: Volvo

DHL’s smart warehouses

One of DHL’s most significant IoT initiatives is the SmartSensor system which tracks the exact location of shipments at every stage of their journey and monitors their critical environmental parameters, like temperature, humidity, impact, and light, especially vital for the pharmaceutical and medical sectors. The system immediately notifies operators of any deviations from the established norms to take action.

This way, the SmartSensor system helps DHL timely identify and prevent risks associated with the damage of sensitive goods and increase partners’ and customers’ trust.

DHL image

Image title: SmartSensor system for real-time shipment tracking
Image source: DHL

Benefits of IoT in logistics

Increased visibility & control

The IoT ecosystem allows logistics providers to keep a better track of their workflows by collecting real-time data on the condition and storage of shipments, equipment, and vehicle operations. This provides companies with total control over their logistics operations, makes decision-making faster, and reduces risks and losses.

Cost optimization

IoT helps reduce transportation, storage, and handling costs by automating various logistics operations such as cargo tracking, inventory tracking, route planning, and fuel consumption control. With the help of IoT-generated data, logistics companies can also accurately predict when maintenance of machines and vehicles is needed, reducing repair costs and unplanned breakdowns.

Improved efficiency & productivity

IoT-enabled systems handle simple, routine daily tasks without human involvement, including store shipments logging, climate conditions monitoring, and warehouse records management, enhancing employee productivity.

Resource & asset tracking

Real-time monitoring of transportation, warehouses, and equipment with the help of IoT enables companies to manage assets and resources more effectively. IoT-generated data also helps logistics companies identify unused or overloaded vehicles, as well as track their conditions, perform timely maintenance, and extend its life, which also helps reduce operating costs.

Better driver safety

With IoT, logistics companies can monitor truck technical conditions in real-time, analyze driver behavior, and navigate potential issues on the road. Based on IoT data, logistics companies can also timely notify the driver of possible threats on the road or traffic jams, as well as warn them of the need to take a break.

Improved customer satisfaction

Using predictive analytics and real-time IoT-generated data on routes, goods, traffic, and vehicle location, logistics companies can timely respond to unexpected delays, route changes, and other emergencies or prevent them entirely. This not only helps to preserve product quality and maintain a more stable delivery schedule, but also improves customer experience.

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IoT in logistics: challenges & solutions

The adoption of IoT technology in logistics can be associated with a number of issues that can make companies reluctant to adopt it.

Challenge

Solution
Integration with the existing systems
Many logistics companies already have ERP, WMS, and other business software, so integrating new IoT solutions with these existing ones can be challenging due to incompatibility between different platforms and outdated hardware and software that don’t support modern data transfer protocols and interoperability standards.

To integrate IoT into existing IT infrastructure as smoothly as possible, logistics companies can use the following practices:

  • Use middleware platforms
    like Apache Camel, MuleSoft, and SAP PI, to integrate IoT devices with legacy systems.
  • Use API adapters
    that translate data from proprietary or legacy formats to standardized APIs.
  • Use specialized cloud-based IoT platforms
    like AWS IoT or Microsoft Azure IoT Hub, as a central hub to collect data from IoT devices and provide a unified interface for interacting with legacy systems.
  • Use standardized communication protocols
    such as MQTT, CoAP, or HTTP/HTTPS for better interaction between different devices and systems.
Scalability limitations
With the proliferation of IoT devices and logistics processes, the volume of data is increasing significantly. Over time, companies can find it challenging to process, store, and analyze it, which can lead to operational disruptions, data loss, and increased IT infrastructure development costs.

To successfully scale connected logistics systems, companies must adhere to the following practices when planning IoT architecture:

  • Use edge computing
    as data processing directly on IoT devices or near data sources will reduce the load on central servers and the network, latency, and the amount of data transferred.
  • Use of a modular architecture
    that allows components to be added or upgraded without changing the entire system. You can use distributed platforms such as Apache Hadoop or Spark to process large amounts of data in a parallel and efficient manner.
Lack of qualified specialists
IoT requires highly qualified specialists who are not only proficient in IT but also knowledgeable about logistics processes, analytics, artificial intelligence, and cloud platforms. The lack of such specialists in place hinders IoT adoption in logistics, reduces its efficiency, and increases the risk of errors.

To overcome the lack of skilled IoT professionals, companies can:

  • Invest in training in-house IT teams
    by offering courses and workshops focused on IoT, analytical tools, artificial intelligence, and cloud platforms.
  • Partnering with experienced IoT service providers
    who offer external expertise and help efficiently handle complex IoT project tasks from system integration to customization of cloud platforms.
Data security
Vulnerabilities in IoT devices can lead to sensitive data breaches, logistical disruptions, and significant financial losses. In addition, companies must comply with increasingly stringent regulatory requirements, which require ongoing monitoring, while non-compliance can lead to fines, penalties, and loss of customer trust.

A comprehensive approach to IoT system security and compliance is required, which includes the following key measures:

  • Implement a multi-layered security strategy
    that includes hardware and software protections, data encryption, user authentication and authorization, and regular device firmware updates to address vulnerabilities.
  • Implement systems to monitor network traffic
    and device behavior, enabling the quick detection of anomalies and potential attacks and facilitating a timely response to threats.
  • Regularly train employees on IoT cybersecurity
    practices to mitigate risks associated with human error.
  • Conduct regular security assessments
    to identify and promptly remediate emerging vulnerabilities.

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Transform logistics operations with IoT now

The logistics industry is undergoing a major transformation driven by the Internet of Things adoption in response to the need for faster, more secure and transparent global supply chains, automation to reduce operating costs, and minimized human errors. By combining the Internet of Things with other emerging technologies, logistics companies can revamp their workflows, making them more efficient, and deliver exceptional service to their customers.

However, IoT implementation can bring companies integration, scalability, and security challenges. To cope with them effectively, companies can turn to experienced IT vendors like Itransition that specialize in implementing IoT projects of any complexity and in any industry.