The global logistics market continues to grow, with technology becoming a major driver of development. Businesses are seeking IoT solutions for transportation to help them improve supply chain visibility, optimize operations at every stage of logistics, and save resources. This can be achieved by using IoT devices to collect data about the logistics process and transform it into valuable business information. Let's consider how IoT in transportation can create a continuous flow of useful information, enabling companies to fully leverage big data.
How the Internet of Things can transform data into value
Implementing the Internet of Things (IoT) in transportation is more than just connecting devices or sensors to a network. IoT in transportation turns every object in the supply chain into a source of information. To use the collected information for business benefit, you must be able to analyze big data in logistics and supply chain management. Unstructured information has no value. You need to understand how to use data to grow your business.
Data becomes meaningful when it goes through a chain of collection-communication-aggregation-analysis-action. IoT sensors collect data and upload it to the cloud, where the information is transformed into a usable format and structure. This "purified" information becomes the foundation for training machine learning algorithms to analyze data and automate certain processes. ML and AI discover patterns and make predictions. Logistics companies can gain a comprehensive understanding of the supply chain.
Which data is useful for logistics?
In 2020, the logistics big data analytics market was valued at $3.55 billion. Experts predict it will grow to $9.28 billion by 2026, representing an average annual growth rate of 17.31%. Organizations must be able to analyze the ever-increasing volume of incoming information and improve their logistics operations.
The Internet of Things (IoT) in transportation addresses a key issue: transparency and visibility in the supply chain. Traditionally, managers could only control the flow of goods at the loading point. It was impossible to determine what happened to the goods between checkpoints.
Without transparency, it's difficult to understand the conditions under which goods were transported and whether the carrier fulfilled the contractual terms. It's also impossible to determine:
The location of goods at a specific time;
Is the cargo damaged (is the packaging sealed, are the container doors closed, etc.)?
Do they comply with transport conditions (temperature, humidity, and other parameters)?
What kinds of weather or road accidents can hinder the timely delivery of goods?
Did the carrier deviate from the route?
Issues such as whether the goods can arrive on time.
Without this information, delivery is blind. Managers don't know where the problems in the supply chain lie or how to solve them.
Access to the right data provides room for improvement. Sensors create a continuous stream of IoT data and provide visibility into the supply chain.
The global logistics market continues to grow, with technology becoming a major driver of development. Businesses are seeking IoT solutions for transportation to help them improve supply chain visibility, optimize operations at every stage of logistics, and save resources. This can be achieved by using IoT devices to collect data about the logistics process and transform it into valuable business information. Let's consider how IoT in transportation can create a continuous flow of useful information, enabling companies to fully leverage big data.
How the Internet of Things can transform data into value
Implementing the Internet of Things (IoT) in transportation is more than just connecting devices or sensors to a network. IoT in transportation turns every object in the supply chain into a source of information. To use the collected information for business benefit, you must be able to analyze big data in logistics and supply chain management. Unstructured information has no value. You need to understand how to use data to grow your business.
Data becomes meaningful when it goes through a chain of collection-communication-aggregation-analysis-action. IoT sensors collect data and upload it to the cloud, where the information is transformed into a usable format and structure. This "purified" information becomes the foundation for training machine learning algorithms to analyze data and automate certain processes. ML and AI discover patterns and make predictions. Logistics companies can gain a comprehensive understanding of the supply chain.
Which data is useful for logistics?
In 2020, the logistics big data analytics market was valued at $3.55 billion. Experts predict it will grow to $9.28 billion by 2026, representing an average annual growth rate of 17.31%. Organizations must be able to analyze the ever-increasing volume of incoming information and improve their logistics operations.
The Internet of Things (IoT) in transportation addresses a key issue: transparency and visibility in the supply chain. Traditionally, managers could only control the flow of goods at the loading point. It was impossible to determine what happened to the goods between checkpoints.
Without transparency, it's difficult to understand the conditions under which goods were transported and whether the carrier fulfilled the contractual terms. It's also impossible to determine:
The location of goods at a specific time;
Is the cargo damaged (is the packaging sealed, are the container doors closed, etc.)?
Do they comply with transport conditions (temperature, humidity, and other parameters)?
What kinds of weather or road accidents can hinder the timely delivery of goods?
Did the carrier deviate from the route?
Issues such as whether the goods can arrive on time.
Without this information, delivery is blind. Managers don't know where the problems in the supply chain lie or how to solve them.
Access to the right data provides room for improvement. Sensors create a continuous stream of IoT data and provide visibility into the supply chain.
How can continuous IoT data streams play a role in logistics?
IoT sensors are attached to parcels, boxes, or containers containing goods. The devices collect information about the parcel's location and characteristics. They transmit this information to a cloud application via GPS or a mobile network. This application can then be used by authorized supply chain members.
Goods can be controlled remotely at any time. Therefore, you don't need to wait until the goods reach their destination. Providers can quickly fix problems as they occur or prevent them. The Internet of Things in transportation reduces the risk of supply chain disruptions.
Big data in logistics and supply chain management can be used to:
Optimize the route;
Track cargo status;
Assess the carrier's work;
Manage door-to-door delivery;
Improve warehouse operations;
Minimize damage to goods during transportation;
Forecasting commodity demand, etc.
Benefits of continuous IoT data flow in logistics
The Internet of Things (IoT) in transportation serves as the "eyes and ears" of supply chain managers. It's a reliable way to gain a competitive edge and solidify market position. The benefits of IoT for logistics include:
Workflow optimization
The Internet of Things (IoT) creates a centralized network that helps control every stage of the supply chain, ensuring its rapid and trouble-free operation. According to data:
Suppliers adjust shipping schedules to ensure products reach customers on time;
The carrier does not deviate from the route and monitors the quality of the cargo;
Port operators are considering unloading cargo to prevent damage.
The customer sees this when they receive the goods.
For a business, this means that it will not lose money due to supply chain disruptions, will maintain its reputation, and will increase customer loyalty.
Improved demand forecasting
IoT sensors are permeating every stage of the supply chain. IoT-based devices are improving warehouse operations:
They helped with the inventory;
They monitor inventory storage conditions;
They located the goods;
They solved the warehouse backlog problem, predicted product demand based on archival data, and so on.
For the logistics industry, this means there will be no delays in the first stage of the supply chain. Delays are usually due to a lack of goods in the warehouse or delayed truck loading because it is difficult to find products on-site. If everything goes smoothly in the first stage, there will be no delays in subsequent stages.
Eliminate the risk of transportation failure
Trucks, ships, and trains may break down en route. This poses a significant risk to the supply chain, as goods may not be delivered on time. You will need to provide additional assistance.
IoT sensors monitor vehicle status parameters and detect potential problems in advance. They tell you when it's best to perform preventative maintenance so cars, trains, or ships don't break down en route. They provide short routes and safe driving instructions to ensure goods arrive on time.
New business opportunities
With the help of the Internet of Things (IoT), logistics companies are improving business models within the transportation ecosystem. IoT enables a mechanism for continuous improvement of logistics processes. Implementing new approaches requires integrating supply chain participants into applications that create a single product ecosystem.
The Internet of Things (IoT) in transportation provides unprecedented supply chain agility. With the latest data, applications will be able to set up individual delivery routes for specific customers.
How to implement the Internet of Things in logistics
Implementing the Internet of Things (IoT) in transportation requires time and strategic action.
Identify problems in the supply chain;
Set goals for the implementation of the Internet of Things;
Develop big data software for logistics and supply chain management;
Install sensors and link them to a cloud-based monitoring application;
Train employees to transition to the new work style.
When planning the transition to IoT logistics, it's worth starting with business needs. When you define your digitization goals, it becomes easier to create a technology implementation roadmap. When employees are prepared for change, they'll grasp the essentials more quickly and reduce errors. Only after this can you create a true IoT ecosystem. Most importantly, find reliable technology partners. A team of IT experts can implement business needs and create IoT solutions for transportation.
in conclusion
The Internet of Things (IoT) in transportation is fundamental to the industry's digitalization process. Data collected by IoT sensors is becoming a valuable source for logistics development. Along with ML and AI, this technology makes supply chains more transparent and efficient. By 2024, the global logistics market will double from its 2015 size, reaching $15.5 trillion. This means that problems must be addressed before they become catastrophic.
