The world of tracking technology is growing and evolving every single year. There’s a whole range of exciting advancements, from cloud systems and computer vision AI to drones, 2D barcodes, IoT devices, GPS, 5G connectivity, and even augmented reality – just to name a few! In fact, tracking technologies are just the first component of several emerging innovations that are reshaping supply chain visibility. In this article, I’ll highlight 10 cutting-edge trends in tracking technologies. Further I’ll include examples that will show you how to apply these technologies to your supply chains to enhance visibility and traceability like never before.

1. Cloud-based Platforms Enable Easier Integration For Supply Chain Visibility.

Cloud-based platforms enable seamless data sharing and collaboration among supply chain partners. This is because cloud-based software is kept updated by the vendor versus internal IT staff. Further, the vendor’s technical support is more available and knowledgeable of the cloud-based environment than most internal IT departments. 

For example, a company can more easily integrate their cloud-based inventory management systems with their cloud-based transportation management systems. Now, the primary downsides to using cloud-based hosting is data security, and recurring subscription pricing. Also, there is the potential challenge of having to migrate off a cloud-based platform to include re-engineering data interfaces.

2. Drones Technology For Last-Mile Delivery And Inventory Visibility.

Last Mile Deliveries. Drones are starting to add a new dimension to the transport and delivery of goods. This is because in select scenarios drones are faster and can be more efficient for last-mile deliveries. For example, companies like Amazon and Walmart are experimenting with drone delivery services to reduce delivery times and reach remote areas with ease.

Warehouse Inventory. Furthermore, drones offer improved inventory tracking visibility by providing real-time data on the location and condition of goods. By attaching sensors and cameras to drones, companies can monitor the movement of inventory throughout the supply chain. For instance, warehouse managers are using drones to do 100% inventory of their warehouses. In these situations, drones are using cameras and other sensor devices to count inventory. Then the business can reconcile these physical counts with their inventory management systems. As a result, drones can replace mind-numbing physical inventory counts. Hence, this is both time saving and increases inventory accuracy.

3. 2D And QR Barcodes Able To Store More Data And Increases Interoperability.

Indeed, the use of two-dimensional (2D) and quick response (QR) barcodes has significantly expanded the amount of information that can be conveyed in a barcode compared to traditional one-dimensional barcodes. Unlike tracking numbers that primarily serve as identifiers, 2D and QR barcodes can store and provide access to more information. This can include such data elements as product specifications, batch numbers, expiration dates, and even manufacturing locations. For instance, 2D and QR barcodes allow for efficient tracking and tracing of shipments. By scanning these barcodes at various checkpoints along the supply chain, stakeholders can access real-time information about the location and status of goods. 

Especially with QR barcodes, these barcodes promote interoperability by using open standards versus proprietary standards. As a result, they facilitate data exchange between more systems and devices to include off-the-shelf smartphones. For example, in warehouse management, QR barcodes can be scanned by handheld devices or integrated into automated systems to streamline inventory management processes.

Now on the downside, even normal handling can damage a barcode. Also, a malfunctioning printer can inadvertently cause a barcode to become unreadable. Thus, training and maintenance is critical to minimize these errors.

4. IoT Devices Increases The Capabilities And Durability Of Tracking Technology.

Internet of Things (IoT) devices such as sensors and RFID tags enable real-time monitoring of goods throughout the supply chain. In fact, there are many use cases for IoT devices replacing barcode solutions due to their durability, interoperability, and advanced features such as write-read capabilities. For example, by attaching IoT devices to products or packaging, companies can track temperature conditions, monitor inventory levels, and ensure timely replenishment. As the cost of IoT devices such as passive RFID tags go down, logistics operations are leveraging this technology more and more over barcodes. 

Moreover, supply chain organizations can leverage many different types of IoT devices with a wide range of digital communications options. See below for details.

a. Types of IoT Devices.

Indeed, IoT devices can support a wide range of tracking technology solutions. Basically, IoT-based sensor solutions are used to combine signals from multiple devices connected in a network. Moreover, IoT solution capabilities can include two-way communication, data exchange, smart data collection, and autonomous control of assets. Also, RFID tags are either short-range passive tags that have ranges in inches or active, long-range tags that have a reach of hundreds of feet.  Lastly, there are many types of sensors to include proximity sensors, accelerometers, magnetic sensors, temperature sensors, and pressure sensors to name a few.

b. Types of IoT Communications.

Internet Of Things Examples – Hidden Technology Automating Logistics

Also, depending on the need, there are IoT solutions used for both short-range and long-range communications. Short-range technologies include RFID, Wi-Fi, Bluetooth Low Energy (BLE), and Ultra-Wide Band (UWB) that are normally used for indoor asset tracking technologies. All of these short-range technologies except RFID can precisely track the location of an asset in the range of centimeters to meters. However, BLE has certain advantages over others due to its mature ecosystem, low cost, easy deployment, and low power consumption. 

Also, there are long-range communications technologies such as GPS and cellular that I’ll cover later in the article. For more details on IoT technologies, see my article, Internet Of Things Examples – Hidden Technology Automating Logistics, Wevolver’s Smart Tracking Trends and Technologies, and Mapsted’s The Future of Asset Tracking.

5. Computer Vision AI for Tracking Assets, Combating Fraud, and Shipment Visibility.

Indeed, computer vision AI is expanding beyond traditional applications such as robotics, self-driving vehicles, and facial recognition. As a tracking technology, it is a powerful tool for fraud prevention and asset monitoring. Further, it has the potential to revolutionize supply chain management through end-to-end shipment tracking. While computer vision AI might sound intimidating, its basic framework is surprisingly simple. The foundation starts with a camera or imaging device that captures visual information. From there, machine learning (ML) algorithms process and interpret this data, essentially enable computers to “see” and understand the world around them.

a. Basic Computer Vision Tracking Capability.

For example, a simple use case for delivery drivers is for them to use computer vision-enabled smartphones to capture images of packages upon delivery. Thus, providing instant proof of delivery. Additionally, more and more shipping departments are using computer vision systems to capture images of shipments prior to handoff to their carriers for proof of damage-free shipments. 

b. Advanced Computer Vision AI Capabilities.

Computer Vision AI: The Unlimited Ways To Use This Awesome Tech To Empower Supply Chains

Now, computer vision tech uses cases expand significantly when integrated with AI. With computer vision AI, the tech can scan bar codes, use optical character recognition (OCR) to translate printed characters, count items, identify objects, and track movement.

For instance, a computer vision AI system can instantly scan a pallet’s barcode, QR code, and characters on labels, automatically registering the shipment without manual data entry. Also, computer vision AI systems can track assets outside of the warehouse. For instance, see GenLogs’ Freight Intelligence offering that has the capability to provide visibility to every carrier, shipper, and asset via a nationwide sensor network. Indeed, computer vision AI has unlimited potential for end-to-end shipment visibility and many more logistics functions. For more information, see my articles, Picture-Perfect Tech for Supply Chain Visibility and Computer Vision AI Use Cases for Supply Chains.

6. Real-Time Global Positioning System (GPS) Tracking Technology.

Real-time GPS tracking allows companies to monitor the location of shipments and vehicles in real-time. GPS utilizes a network of satellites and complex algorithms to determine the location of an object with greater accuracy. For instance, with advanced GPS tracking systems, companies can track their vehicles’ exact location, monitor route deviations, and provide accurate estimated arrival times to customers. 

With the rapid adoption of same-day delivery services, GPS tracking is now even becoming a key technology for retail delivery. On the other hand, GPS technology is expensive and consumes a lot of power. Hence, this can make GPS tech prohibited for many asset tracking solutions such as individual package tracking. See GeoForce’s Types Of Tracking Technology for more on GPS and other tracking technologies.

7. 5G Broadband Cellular Standard Empowers Real-Time Tracking Technology.

The integration of 5G technology enables faster and more reliable communication between devices, leading to improved supply chain visibility. For example, with 5G connectivity, companies can transmit large amounts of data in real-time, enabling seamless tracking and monitoring of shipments. Now beware, there are other types of cellular networks that are not as fast as 5G, such as GSM and LTE. So, for deploying a 5G tracking solution, you will need to verify 5G coverage or look at the trade-offs of using devices that are compatible with lower bandwidth cellular networks. In particular, compatibility is a major consideration for global deployment solutions spanning multiple countries and cellular networks.

8. Augmented Reality (AR) Enables Context For Better Tracking Of Asset Status And Visibility.

Augmented Reality Technology: Is Your Business Missing Out?

Surprisingly, Augmented Reality (AR) technology can help to provide more context for tracking the status of assets, offering improved visibility and efficiency. By overlaying digital information onto the physical world, AR can enhance situational awareness by augmenting real-time monitoring and providing updates on asset conditions, locations, and maintenance requirements.

For example, in the manufacturing industry, AR can be used to display relevant data and instructions directly onto machinery or equipment. Thus, maintenance technicians can then easily access information about the asset’s performance, upcoming maintenance schedules, and troubleshooting guides. As a result, this AR contextual information enhances tracking capabilities and allows for proactive maintenance, reducing downtime and optimizing asset utilization.

9. Blockchain Provides Traceability Technology For Supply Chains.

Blockchain, though not in widespread use, can have utility in some special use cases such as for high value and controlled items such as pharmaceuticals or within food logistics. This is because blockchain technology can provide enhanced security, traceability, and transparency in supply chain operations. For instance, by using blockchain-based solutions, companies can create an immutable record of each transaction. As a result, they can track the movement of goods from the point of origin to the final destination. Thus, this ensures authenticity and reduces the risk of fraud or tampering.

10. Proactive AI-Powered Predictive Analytics Precludes Shipment Delays. 

Predictive Analytics Types: The Best Opportunities For Supply Chains

Lastly, AI-powered predictive analytics is a powerful capability to augment a wide range of tracking solutions. Specifically, it helps identify potential risks and mitigation options proactively. For example, by analyzing historical data and external factors, AI algorithms can predict supply chain disruptions, allowing companies to take preventive measures to minimize their impact.

Also, supply chain operations can set up proactive alerts based on predictive analytics to trigger actions to preclude choke points that will delay shipments. As an example, a smart asset tracking system based on artificial intelligence can send alerts for upcoming maintenance and predict an asset’s condition. As a result, this increases efficiency and reduces costs. For more information on predictive analytics, see my article, Predictive Analytics Types: The Best Opportunities For Supply Chains.

Tracking Tech References.

Also, for more information on tracking technology, see GeoForce’s Types Of Tracking Technology and Wevolver’s Smart Tracking Trends and Technologies.

More Supply Chain Visibility Tech Innovations: Integration, Interoperability, Analytics, Digital ID, Decision Intelligence.

As this article reveals, it is amazing just the sheer number of different tracking technologies that are out there to support supply chain visibility and traceability. Besides the ten different tracking technologies described above, there are also other innovative technologies to enable supply chains to achieve better visibility. These include:

More Technology Tools to Enable Supply Chain Visibility

• Data Integration Tools: Increases Access to Data and Real-Time Supply Chain Visibility.
• Interoperability Standards and Tools: Enables Meaningful Data Sharing at the Right Time and Place.
• Digital Identity Technology: Enables Trust Between Supply Chain Visibility Partners.
• Data Analytics: Makes Supply Chain Visibility Data Actionable.
• Decision Intelligence: Leveraging Supply Chain Visibility Data To Enable Better, Agile Decision-Making.

For more information on emerging tech solutions for supply chain visibility, see my article, Emerging Tech For Supply Chain Visibility: The Best Innovations Available Now To Empower Businesses.

Emerging Tech For Supply Chain Visibility: The Best Innovations Available Now To Empower Businesses

Need help with an innovative solution to make your supply chain systems work together? I’m Randy McClure, and I’ve spent many years solving data interoperability and visibility problems. As a supply chain tech advisor, I’ve implemented hundreds of successful projects across all transportation modes, working with the data of thousands of shippers, carriers, and 3rd party logistics (3PL) providers. I specialize in proof-of-concept and operational pilot projects for emerging technologies. If you’re ready to modernize your data infrastructure or if you are a solution provider, let’s talk. To reach me, click here to access my contact form or you can find me on LinkedIn.

For more information from Supply Chain Tech Insights, see articles on information technology.