Commentary: How blockchain and IoT can help you track your assets
Tracking asset provenance poses a huge challenge for global supply chains and insurance providers. Using blockchain and Internet of Things technologies in combination offers a solution that could reshape future supply chains.
There are huge benefits associated with being able to track an asset's provenance, or its existence,
ownership, and control, from point of origin to final destination. Identifying and verifying when and where
handovers occurred, as well as the condition of assets at each point in the chain of custody, is not only
helpful for improving supply chain visibility but also for insurance purposes. This is especially true
for high-value assets, such as diamonds, fine art, and wine, which are often subject to fraudulent activity.
Shipping, insurance, and other companies, however, are currently struggling to validate, authenticate, and
track assets of all kinds as they move along the global supply chain. The combination of two relatively new
technologies—blockchain and the Internet of Things (IoT)—holds great potential for addressing
this difficult problem.
What are blockchain and the IoT?
While originally developed to deal with cryptographic transactions, a blockchain is essentially a constantly
updating and incorruptible database that enables parties who might not trust each other or do not interact on a regular
basis to have a shared perception of the truth. Because blockchain technology is cryptographically secure and stores
data indefinitely, data is virtually tamper-proof, increasing transparency and accuracy. Blockchains are also
automatically kept in sync in terms of record keeping, therefore removing the risk of human error. It is a validated
and transparent database that cannot be altered by one party without the rest of the chain knowing. This aspect of
the technology solves the problem of multiple parties holding "siloed" versions of the truth on their own systems,
and it reduces the large number of processes required to reconcile those different versions before a party is able
to act based on that truth.
In the supply chain, blockchain can bring together importers, exporters, insurers, credit-rating agencies,
and logistics and supply chain service providers to achieve a single view of the financing of a shipment.1
It can also enable "smart contracts"—transactions and processes that are automatically executed when
specified conditions are met—to achieve "straight-through processing" (STP), or an automated workflow.
The Internet of Things (IoT) is a network of connected "things," which can include people, objects,
equipment, and devices. "Things" in this network are equipped with an assigned Internet protocol (IP) address
so that they can transfer data over the Internet and communicate with other parties or devices within the network.
For example, shipping containers could have sensors that are connected through the IoT to gauge factors like location,
temperature, humidity, light, impact, door closed/open, and more. These sensors can be built-in or added to the
container. In the same vein, conveyances such as trucks, rail, ships, and aircraft could be equipped with geographic
positioning system (GPS) tracking devices that show the location of the vehicle. This information can be used to
analyze in real time what routes make the most sense and when or where delays are likely to take place given
current traffic or weather data.
The market intelligence firm IDC reported
that in 2016, US$737 billion was invested globally in the IoT, and it projected that US$1.29 trillion would be
spent on IoT by 2020. Similarly,
Intel has projected that there will be 200 billion connected devices by 2020. With all signs pointing to an
IoT-fueled future, it is important to understand how this can affect business processes. In particular, we need
to understand how the IoT can work with other technologies, like blockchain, to bolster its power.
IoT and big data analysis have the potential to have a huge impact on supply chain tracking and asset provenance.
Currently companies use milestone-tracking methods, which rely on the asset reaching certain checkpoints. As a result,
there are gaps in visibility in between these check-points. IoT can help prove a full scope view of the end-to-end
movement of assets.
Using blockchain + IoT for asset provenance
Blockchain's potential for transparency and accuracy paired with the power of IoT and data analytics could
truly revolutionize asset provenance. Recent advances in sensor technologies have made them smaller and cheaper,
and therefore more accessible. These sensors are able to process a plethora of data in real time. That data
can be combined with data collected from GPS, telematics, and social media as well as weather and traffic
reports to paint the full picture of each shipment's journey and help predict delays, diversions, damages,
and estimated time of arrival.
Asset provenance is also one of the top early use cases for blockchain in the supply chain. The information
collected and mined from sensors and other data streams could be fed into the blockchain for a shared view within
the value chain. Recording the movement of goods on a shared blockchain would ensure that there are virtually no
gaps in the handling of assets and enhance transparency and traceability for shippers, insurers, banks, logistics
companies, and anyone else in the value chain. It would also ensure that the data is immutable and transparent,
since the data cannot be changed or removed, and all parties along the value chain can see each data point.
Furthermore by implementing smart contracts on the blockchain, insurers can act in (near) real time on the supply
chain data provided by the IoT sensors.
As a result, many startups and incumbent parties are now exploring how these technologies can improve and
simplify provenance for the supply chain. For example, startup
Everledger is using blockchain to digitally store the provenance of diamonds. The company currently
has over 1 million diamonds stored on its blockchain today. Everledger helps to minimize risks of fraud
and assists with compliance with prohibitions against "conflict" diamonds and products by having the
provenance on the entire value chain of each diamond. Earlier this year, Everledger was the first
to secure provenance on wine using blockchain. Another startup, Provenance,
helps companies provide better, more transparent information to customers by using blockchain to store the origins
and histories of products in a digital format. The company's ultimate goal is to have an open, end-to-end
traceability protocol that can track anything from coffee beans to high-value items.
The benefits of such systems are numerous. An IoT-blockchain system for asset provenance would significantly
reduce risk for insurers and supply chain companies, as they would be as-sured of the authenticity of the goods
that have been insured. Additionally, as sensors advance and are now able to measure characteristics such as
shock, temperature, and humidity, companies could detect in real time any problems there might be with the
shipment before it reaches its end destination. This would be especially beneficial for insuring certain
high-value items. For exam-ple, sensors that measure shock could detect potential damage to electronics
while en route. Other types of sensors could verify that pharmaceuticals or textiles have been kept at a certain
temperature or humidity level during transit.
The automation via smart contracts and straight-through processing could remove the chance for human error.
Companies could also see immense gains from using these technologies to analyze and improve their supply chain.
For example, IoT technologies could be applied to monitor and improve logistics processes and to provide useful
data for the entire supply chain network. Blockchain can then serve as a record of this data, offering shared
visibility to all partners, rather than the supply chain organization having to deliver this information manually.
The future state of blockchain and IoT
Looking to the future, many startups and companies will be leveraging blockchain and IoT technologies to create
less risky, more transparent, and sustainable supply chains. However, as discussed in previous articles
published by CSCMP's Supply Chain Quarterly,
"Why block-chain is not just for banks" and "To predict the future of blockchain, look to the past,"
there are hurdles to be overcome before the global supply chain can fully act on blockchain. Next to the challenges
described in these articles, there are other roadblocks pertaining to regulatory re-quirements, which may change
as assets cross borders, as well as data privacy on a global scale. However, this should not stop companies from
looking to these solutions as part of their future strategy. When blockchain and IoT are used together, they
create synergies that will surely de-fine the supply chain of the future.
Notes:
1. For more information on blockchain's potential
uses in the supply chain, see Alexander van Tuyll van Serooskerken,
"Why blockchain is not just for banks," CSCMP's Supply
Chain Quarterly, Q2/2017.
In a statement, DCA airport officials said they would open the facility again today for flights after planes were grounded for more than 12 hours. “Reagan National airport will resume flight operations at 11:00am. All airport roads and terminals are open. Some flights have been delayed or cancelled, so passengers are encouraged to check with their airline for specific flight information,” the facility said in a social media post.
An investigation into the cause of the crash is now underway, being led by the National Transportation Safety Board (NTSB) and assisted by the Federal Aviation Administration (FAA). Neither agency had released additional information yet today.
First responders say nearly 70 people may have died in the crash, including all 60 passengers and four crew on the American Airlines flight and three soldiers in the military helicopter after both aircraft appeared to explode upon impact and fall into the Potomac River.
Editor's note:This article was revised on February 3.
Artificial intelligence (AI) and the economy were hot topics on the opening day of SMC3 Jump Start 25, a less-than-truckload (LTL)-focused supply chain event taking place in Atlanta this week. The three-day event kicked off Monday morning to record attendance, with more than 700 people registered, according to conference planners.
The event opened with a keynote presentation from AI futurist Zack Kass, former head of go to market for OpenAI. He talked about the evolution of AI as well as real-world applications of the technology, furthering his mission to demystify AI and make it accessible and understandable to people everywhere. Kass is a speaker and consultant who works with businesses and governments around the world.
The opening day also featured a slate of economic presentations, including a global economic outlook from Dr. Jeff Rosensweig, director of the John Robson Program for Business, Public Policy, and Government at Emory University, and a “State of LTL” report from economist Keith Prather, managing director of Armada Corporate Intelligence. Both speakers pointed to a strong economy as 2025 gets underway, emphasizing overall economic optimism and strong momentum in LTL markets.
Other highlights included interviews with industry leaders Chris Jamroz and Rick DiMaio. Jamroz is executive chairman of the board and CEO of Roadrunner Transportation Systems, and DiMaio is executive vice president of supply chain for Ace Hardware.
Jump Start 25 runs through Wednesday, January 29, at the Renaissance Atlanta Waverly Hotel & Convention Center.
That is important because the increased use of robots has the potential to significantly reduce the impact of labor shortages in manufacturing, IFR said. That will happen when robots automate dirty, dull, dangerous or delicate tasks – such as visual quality inspection, hazardous painting, or heavy lifting—thus freeing up human workers to focus on more interesting and higher-value tasks.
To reach those goals, robots will grow through five trends in the new year, the report said:
1 – Artificial Intelligence. By leveraging diverse AI technologies, such as physical, analytical, and generative, robotics can perform a wide range of tasks more efficiently. Analytical AI enables robots to process and analyze the large amounts of data collected by their sensors. This helps to manage variability and unpredictability in the external environment, in “high mix/low-volume” production, and in public environments. Physical AI, which is created through the development of dedicated hardware and software that simulate real-world environments, allows robots to train themselves in virtual environments and operate by experience, rather than programming. And Generative AI projects aim to create a “ChatGPT moment” for Physical AI, allowing this AI-driven robotics simulation technology to advance in traditional industrial environments as well as in service robotics applications.
2 – Humanoids.
Robots in the shape of human bodies have received a lot of media attention, due to their vision where robots will become general-purpose tools that can load a dishwasher on their own and work on an assembly line elsewhere. Start-ups today are working on these humanoid general-purpose robots, with an eye toward new applications in logistics and warehousing. However, it remains to be seen whether humanoid robots can represent an economically viable and scalable business case for industrial applications, especially when compared to existing solutions. So for the time being, industrial manufacturers are still focused on humanoids performing single-purpose tasks only, with a focus on the automotive industry.
3 – Sustainability – Energy Efficiency.
Compliance with the UN's environmental sustainability goals and corresponding regulations around the world is becoming an important requirement for inclusion on supplier whitelists, and robots play a key role in helping manufacturers achieve these goals. In general, their ability to perform tasks with high precision reduces material waste and improves the output-input ratio of a manufacturing process. These automated systems ensure consistent quality, which is essential for products designed to have long lifespans and minimal maintenance. In the production of green energy technologies such as solar panels, batteries for electric cars or recycling equipment, robots are critical to cost-effective production. At the same time, robot technology is being improved to make the robots themselves more energy-efficient. For example, the lightweight construction of moving robot components reduces their energy consumption. Different levels of sleep mode put the hardware in an energy saving parking position. Advances in gripper technology use bionics to achieve high grip strength with almost no energy consumption.
4 – New Fields of Business.
The general manufacturing industry still has a lot of potential for robotic automation. But most manufacturing companies are small and medium-sized enterprises (SMEs), which means the adoption of industrial robots by SMEs is still hampered by high initial investment and total cost of ownership. To address that hurdle, Robot-as-a-Service (RaaS) business models allow enterprises to benefit from robotic automation with no fixed capital involved. Another option is using low-cost robotics to provide a “good enough” product for applications that have low requirements in terms of precision, payload, and service life. Powered by the those approaches, new customer segments beyond manufacturing include construction, laboratory automation, and warehousing.
5 – Addressing Labor Shortage.
The global manufacturing sector continues to suffer from labor shortages, according to the International Labour Organisation (ILO). One of the main drivers is demographic change, which is already burdening labor markets in leading economies such as the United States, Japan, China, the Republic of Korea, or Germany. Although the impact varies from country to country, the cumulative effect on the supply chain is a concern almost everywhere.
Overall disruptions to global supply chains in 2024 increased 38% from the previous year, thanks largely to the top five drivers of supply chain disruptions for the year: factory fires, labor disruption, business sale, leadership transition, and mergers & acquisitions, according to a study from Resilinc.
Factory fires maintained their position as the number one disruption for the sixth consecutive year, with 2,299 disruption alerts issued. Fortunately, this number is down 20% from the previous year and has declined 36% from the record high in 2022, according to California-based Resilinc, a provider of supply chain resiliency solutions.
Labor disruptions made it into the top five list for the second year in a row, jumping up to the second spot with a 47% year-over-year increase following a number of company and site-level strikes, national strikes, labor protests, and layoffs. From the ILA U.S. port strike, impacting over 47,000 workers, and the Canadian rail strike to major layoffs at tech giants Intel, Dell, and Amazon, labor disruptions continued its streak as a key risk area for 2024.
And financial risk areas, including business sales, leadership transitions, and mergers and acquisitions, rounded out the top five disruptions for 2024. While business sales climbed a steady 17% YoY, leadership transitions surged 95% last year. Several notable transitions included leadership changes at Boeing, Nestlé, Pfizer Limited, and Intel. While mergers and acquisitions saw a slight decline of 5%, they remained a top disruption for 2024.
Other noteworthy trends highlighted in the data include a 146% rise in labor violations such as forced labor, poor working conditions, and health and safety violations, among others. Geopolitical risk alerts climbed 123% after a brief dip in 2023, and protests/riots saw an astounding 285% YoY increase, marking the largest growth increase of all risk events tracked by Resilinc. Regulatory change alerts, which include tariffs, changes in laws, environmental regulations, and bans, continued their upward trend with a 128% YoY increase.
The five most disrupted industries included: life sciences, healthcare, general manufacturing, high tech, and automotive, marking the fourth year in a row that those particular industries have been the most impacted.
Resilinc gathers its data through its 24/7 global event monitoring Artificial Intelligence, EventWatch AI, which collects information and monitors news on 400 different types of disruptions across 104 million sources including traditional news sources, social media platforms, wire services, videos, and government reports. Annually, the AI contextualizes and analyzes nearly 5 billion data feeds across 100 languages in 200 countries.
Cargo theft activity across the United States and Canada reached unprecedented levels in 2024, with 3,625 reported incidents representing a stark 27% increase from 2023, according to an annual analysis from CargoNet.
The estimated average value per theft also rose, reaching $202,364, up from $187,895 in 2023. And the increase was persistent, as each quarter of 2024 surpassed previous records set in 2023.
According to Cargonet, the data suggests an evolving and increasingly sophisticated threat landscape in cargo theft, with criminal enterprises demonstrating tactical adaptability in both their methods and target selection.
For example, notable shifts occurred in targeted commodities during 2024. While 2023 saw frequent theft of engine oils, fluids, solar energy products, and energy drinks, 2024 marked a strategic pivot by criminal enterprises. New targets included raw and finished copper products, consumer electronics (particularly audio equipment and high-end servers), and cryptocurrency mining hardware. The analysis also revealed increased targeting of specific consumable goods, including produce like avocados and nuts, along with personal care products ranging from cosmetics to vitamins and supplements, especially protein powder.
Geographic trends show California and Texas experiencing the most significant increases in theft activity. California reported a 33% rise in incidents, while Texas saw an even more dramatic 39% surge. The five most impacted counties all reported substantial increases, led by Dallas County, Texas, with a 78% spike in reported incidents. Los Angeles County, California, traditionally a high-activity area, saw a 50% increase while neighboring San Bernardino County experienced a 47% rise.