by Fronetics | Sep 17, 2019 | Big Data, Blog, Data/Analytics, Internet of Things, Robotics & Automation, Supply Chain
Machine learning is shaping the future of supply chain and logistics management, improving accuracy, speed, scale, and more. Here’s how.
Highlights:
- Machine learning refers to an application of artificial intelligence that lets systems learn and improve automatically based on experience.
- Experts predict that 95% of supply chain planning vendors will rely on supervised and unsupervised machine learning for their solutions by 2020.
- When paired with the Internet of Things, machine learning can provide cost savings around $6 million per year.
When it comes to the future of the supply chain, machine learning is one of the most exciting applications of artificial intelligence (AI) technology out there today. Machine learning is a mode of data analysis that provides systems with the ability to learn and improve automatically from experience, without being specifically programmed.
Gartner recently projected that by 2020, 95% of supply chain planning vendors will rely on supervised and unsupervised machine learning for their solutions. Furthermore, it isn’t just expert predictions that demonstrate the impact and potential of machine learning for the supply chain. Amazon, for example, is using machine learning to improve accuracy, speed, and scale for its Kiva robotics, and DHL relies on machine learning to power its Predictive Network Management system.
So, what is it about machine learning that makes it ideally suited to meet the challenges commonly faced by supply chain companies? The answer lies in the fact that machine learning algorithms are brilliant at detecting patterns, anomalies, and predictive insights. This makes it the ideal technology to help supply chain companies forecast error rates, reduce costs, improve demand planning productivity, and increase on-time shipments.
Here’s how these remarkable technologies are already revolutionizing supply chain management.
7 ways machine learning is improving supply chain management
1) Logistic solutions
Particularly when it comes to resource scheduling systems, machine learning algorithms are driving the next generation of logistics technologies. An April 2019 report from McKinsey predicts that “machine learning’s most significant contributions will be in providing supply chain operators with more significant insights into how supply chain performance can be improved, anticipating anomalies in logistics costs and performance before they occur.”
2) Internet of Things
The Internet of Things (IoT)’s sensors, intelligent transport systems, and traffic data generate a tremendous variation in data sets. Machine learning has the potential to deliver increased value by analyzing these data sets, thereby optimizing logistics and ensuring that materials arrive timely.
Additionally, machine learning can reduce logistics costs by uncovering patterns in track-and-trace data captured through IoT-enabled sensors. A December 2018 study by Boston Consulting Group determined that pairing machine learning (specifically Blockchain) with the IoT can contribute to cost savings of $6 million per year.
3) Preventing privileged credential abuse
A recent article in Forbes points to privileged credential abuse as “the leading cause of security breaches across global supply chains.” Machine learning can prevent these abuses by verifying the identity of anyone requesting access, as well as the context of the request and, most importantly, the risk associated with the access environment.
4) Reducing fraud potential
In addition to reducing risk and improving product and process quality, machine learning can reduce the potential for fraud in the supply chain. For example, machine learning startup Inspectorio is a solution to the problems “that a lack of inspection and supply chain visibility creates, focusing on how they can solve them immediately for brands and retailers.” Their algorithm provides insights that instantaneously reduce the risk of fraud.
5) Reducing forecast errors
According to a recent report from Digital/McKinsey, “Lost sales due to products not being available are being reduced up to 65% through the use of machine learning-based planning and optimization techniques.” The same report observes that “inventory reductions of 20 to 50% are being achieved today when machine learning-based supply chain management systems are used.”
6) Detecting inconsistent supplier quality levels
Machine learning can help manufacturers combat one of the biggest problems they face today, namely a lack of consistent quality and delivery performance from suppliers. These technologies can quickly detect and address errors, as well as determine highest and lowest performing suppliers.
7) Preventative maintenance
Preventative maintenance is a tremendous strategic asset for the supply chain. And, when paired with machine learning, it “allows for better prediction and avoidance of machine failure by combining data from the advanced IoT sensors and maintenance logs as well as external sources,” according to the same Digital/McKinsey study mentioned above. Not only that, “asset productivity increases of up to 20% are possible, and overall maintenance costs may be reduced by up to 10%.”
The bottom line: machine learning is reinventing supply chain management
Not only has machine learning already realized tremendous value for the supply chain, but the very nature of this technology means that the possibilities are virtually endless. Algorithms continue to become more sophisticated, and, as new challenges arise, machine learning grows and evolves to meet them.
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by Fronetics | Aug 30, 2016 | Blog, Internet of Things, Logistics, Strategy, Supply Chain
New research shows how supply chain and logistics companies currently are using the Internet of Things and how they plan to expand use in the future.
The Internet of Things is already here — monitoring our footsteps, heartbeats, lighting, home temperature, and environment. And it will continue to expand at a rapid rate. Frost & Sullivan estimates that connected objects will total more than 50 billion by 2020. Morgan Stanley says 75 billion. Either way, it’s clear that the number of internet-connected devices is growing exponentially.
For the supply chain and logistics industries, this is exciting news The transparency and end-to-end visibility afforded by the IoT creates new opportunities that businesses can leverage in order to optimize supply chains and generate value.
Eft, a logistics and supply chain solutions provider, recently polled 600 supply chain decision-makers to understand their “existing and future plans for leveraging the IoT within their operations.” The results offer an interesting picture of the changing relationship between supply chain and logistics and the Internet of Things.
Key findings include:
- 41% have an IoT solution in place.
- 87% plan to expand use of the IoT.
- 61% are analyzing less than half of their IoT data.
What kind of information are companies looking to gain with the IoT?
- Location
- Security
- Temperature
- Speed
What are companies hoping to achieve?
- To improve customer service with better information
- To provide customers with more frequent updates on shipment pick-up or delivery
- To improve speed, delivery timeframes
What types of solutions are companies using?
- Bar codes
- Data logger
- IoT sensor and monitoring technology
In which area are you hoping to improve operational visibility the most?
- 80% land shipments
- 50% air shipments
- 33% sea shipments
What level of threat is cyber security to your IoT strategy?
- 17% major threat
- 47% moderate threat
- 32% minor threat
- 5% non threat
What is the primary purpose of your IoT network?
- 59% alarms and real-time monitoring
- 41% optimization and prediction
Read the full report to get even more insight into how the supply chain and logistics industries are engaging with the IoT.
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by Fronetics | Jul 6, 2015 | Big Data, Blog, Data/Analytics, Internet of Things, Logistics, Marketing, Strategy, Supply Chain
The battle for competitiveness in the cloud.
In this age of radical transformation for supply chains, top companies are tying together prevailing concepts, like big data and the Internet of Things (IoT), with cloud-based computing. Supply chains are being reimagined as digital networks that track not only physical goods, but also people, data, and money. As such, global technology giants continue to invest heavily in cloud computing.
The Chinese e-commerce company Alibaba Group Holding, Ltd. recently announced that it is launching its first international venture – a cloud computing hub in Silicon Valley, proving the fierce competition for market share is stiffening both globally and on the home turf. Notably, all five top-ranked companies listed by the 2013 Strategy & Global Information, Communications and Technology 50 study bet their future on cloud technologies. The companies (IBM, Microsoft, SAP, Oracle, and Cisco Systems) could not, until recently, be perceived as direct competitors, and now they all wield cloud-based portfolios as their competitive weapon of choice.
Analysts note:
The industry leaders are seeking dominant positions, wanting to become the kings of the cloud. As a group, they are putting distance between themselves and the second tier of followers.
For further proof data analytics is driving competition for cloud customers, we can look to a new report by Market & Research that shows data analytics and cloud computing are expected to record a combined growth of 26% annually over the next five years. The implication is that demand is hardly going to lessen as an increasing number of organizations need cloud solutions to manage and store the huge amounts of data that they use to transform manufacturing processes, fine-tune supply chains, forecast customer behavior, and optimize inventories – to name a fraction of potential applications.
And cloud-based computing is even moving the needle of interest in industries that seem inherently averse to making data and information more easily accessible. For example, concerns about data encryption, auditing controls, and transparency have stymied the adoption of cloud-based computing in the financial industry. According to a report by the Cloud Security Alliance, only 28% of American financial institutions have a cloud-based strategy in place, but as a sponsor of the report, Dr. Chenxi Wang, vice president of Cloud Security and Strategy at CipherCloud points out:
Cloud has made solid inroads in this industry with many firms looking to harnessing the power of cloud. There’s plenty of room for growth, particularly for providers who can fill the void for the auditing and data protection controls that are at the top of respondents’ cloud wish list.
Meanwhile, the public cloud services market alone could grow into a $100 billion industry by 2017, according to researcher IDC. Is your business prepared to leverage cloud computing for its supply chain activities? It’s coming, ready or not.
Fronetics Strategic Advisors is a leading management consulting firm. Our firm works with companies to identify and execute strategies for growth and value creation.
Whether it is a wholesale food distributor seeking guidance on how to define and execute corporate strategy; a telematics firm needing high quality content on a consistent basis; a real estate firm looking for a marketing partner; or a supply chain firm in need of interim management, our clients rely on Fronetics to help them navigate through critical junctures, meet their toughest challenges, and take advantage of opportunities. We deliver high-impact results.
We advise and work with companies on their most critical issues and opportunities: strategy, marketing, organization, talent acquisition, performance management, and M&A support.
We have deep expertise and a proven track record in a broad range of industries including: supply chain, real estate, software, and logistics.
by Fronetics | Jun 25, 2015 | Big Data, Blog, Data/Analytics, Internet of Things, Marketing
From coffee makers to urban design, the Internet of Things (IoT) is affecting change in virtually all aspects of daily life. And even though the IoT is still at the early-adopter stage, in just five years 50 billion devices are projected to be connected to the Internet, generating an estimated $2 trillion to $14 trillion in value. Expectations are running high, so high, in fact, that Gartner ranked IoT at the top of its 2014 Hype Cycle for Emerging Technologies.
Companies are naturally eager to get a piece of the action with as many as three out of four exploring how IoT technologies could fit into their business operations. Too many times, however, companies end up with mountains of data and no actionable information. Entry into the IoT should come with warnings: analyze the data or prepare to be disappointed. Or, data without analytics is nothing but noise.
But unless businesses turn the focus away from pure data collection to data analysis, investments in IoT technologies are doomed to produce disappointing results. To be truly useful, the data should do more than “look pretty on a dashboard,” as Steven Sarracino, founder of Activant Capital Group, LLC, in Greenwich, Conn., pointed out.
Vendors of sensor technologies would simultaneously be wise to take their services beyond singing the virtues of amassing data to showing their clients how to make sensor-driven decisions. In fact, the need for more guidance was underscored in a fleet report by Tracking Automotive Technology: TU Automotive (previously Telematics Update). Vendors should, according to the report, present the data in a digestible format to assist overwhelmed end-users. While purely monitoring the performance of a forklift, for example, provides value, it is not until the data is analyzed and acted upon that maximum ROI is achieved. In the case of a forklift fleet, it might entail optimizing routes in the warehouse or performing preventive maintenance. As another example, the retail sector can apply analytics to data collected by security cameras and Wi-Fi beacons to help retailers understand what types of displays catch customers’ attention.
The adoption of IoT technologies will likely come easier to industries such as manufacturing and supply chain which already connect machinery and fleets with Internet-enabled sensors or devices. Smart grid technologies also hold a lot of promise for public utilities based on current industry trends, connecting countless data points for continuous monitoring and proactive management of the power supply. However, until companies are able to adequately apply analytics to squeeze value out of their investments, it may be a while before IoT technologies reach critical mass.
by Fronetics | Apr 1, 2015 | Blog, Internet of Things, Supply Chain
During his TED talk on the Internet of Things (IoT) technologist, Dr. John Barrett, described how every thing: appliances, furniture, vehicles, equipment, soil, food, animals and humans can become connected, identified, monitored, managed, and controlled. By 2032 he predicts that each person could come in contact with 3,000 to 5,000 connected things each day. IBM sees the Internet of Things as the planet’s new central nervous system.
The Internet of Things is already here and developing—monitoring our footsteps, heartbeats, lighting, home temperature and environment— and it will continue to grow at a rapid rate: “The growth in IoT will far exceed that of other connected devices. By 2020, the number of smartphones, tablets, and PCs in use will reach about 7.3 billion units,” said Peter Middleton, research director at Gartner. “In contrast, the IoT will have expanded at a much faster rate, resulting in a population of about 26 billion units at that time.”
The IoT and the Supply Chain
This will have a huge impact on the supply chain as we currently know it. In his talk, Dr. Barrett describes how a food processing company waiting for a delivery of shellfish will be able to not only “know where the food delivery is, but its entire storage and shipping history since the moment it came on board” the boat. Already, some vendors are able to remotely monitor their vending machines and access data about temperature, supply, and theft. In the future vending machines will be able to recognize a customer, recall their past preferences, and “even refuse to vend a certain product based on a shopper’s age, medical record, dietary requirements or purchase history.”
How else will we see IoT inform end-to-end transactions within the supply chain? Transparency in the supply chain is already growing with the swell of ERP and SCM, and with its growth it brings collaboration, clarity, and trust. With the increased use of Radio Frequency Identification (RFID) computer chips can talk to each other, and gather and deliver more detailed information than ever. Visibility in the chain will continue to expand and improve operations. The IoT will impact the supply chain in many ways including the following:
- Stock management
- Preventative maintenance
- User insight
- Manufacturing flow management
- Product stability
- Operational efficiency
- Improved fleet management
An Example of Success
Many companies are already employing the IoT, and as a result they are seeing improvements while working out the kinks of this new technology. UPS has increased single carrier deliveries with the use of sensors. According to David Barnes, the company’s chief information officer, more than 200 measurements can be tracked on a delivery truck from “how fast the vehicle is traveling, how aggressively it’s accelerating or decelerating, the RPMs and the fuel consumption. We can hook into the engine bus environment. We also put in a GPS unit. There are sensors on the engine and on components like starter motors and seat belts.” The analysis of this data is a main focus for UPS and has resulted in improved safety management, fuel efficiency, environmental impact, and customer satisfaction. One carrier reported that his deliveries increased from 90 a day to 120 a day. UPS drivers have seen an increase in salary as the company’s revenue multiplies.
The $1 billion UPS invests in technology per year is producing results, but what are the downfalls of telematics and other advancements? The union representing UPS workers has already set forth some demands: drivers cannot be monitored without being informed and cannot be disciplined “based solely on data.” One driver noted that it “does feel like big brother.”
Issues of security, privacy, accuracy, capacity, and the growth of software substitution in the workplace are all matters that need to be examined as IoT explodes. As IoT matures, it is wise for companies, especially those in manufacturing and logistics, to pay close attention. As reported by Gartner, by 2020, “Economic value-add (which represents the aggregate benefits that businesses derive through the sale and usage of IoT technology) is forecast to be $1.9 trillion across sectors.” With the increased possibility, reach, and data of the IoT will come complex decisions and opportunities for businesses.
Fronetics’ Kate Lee has written extensively about the Internet of Things and the supply chain. Her article, How the Internet of Things will change your world, was published in the Quarter 1, 2015 edition of Supply Chain Quarterly.
