Social media can offer supply chain managers a better way to break down organizational silos and solve supply chain problems, argues consultant Tony Martins.
Social media has changed the way human beings across the globe communicate with one another. Through websites and applications, like Facebook, LinkedIn, and Twitter, users can not only create and share content virtually but can also engage in networking. Although most people associate social media with personal communication, consultant Tony Martins believes that it can also play a valuable role in breaking down organizational silos to solve supply chain problems.
Martins began working with social media in the workplace in 2005, when he was a supply chain executive in the general pharmaceutical industry in Canada. He was so impressed with the potential power of these tools that when he left the pharmaceutical industry to form his own supply chain consulting practice, he decided to use social media as an integral part of his supply chain management methodology.
As part of his consulting practice, Martins has used virtual spaces to foster collaboration between different organizations, functions, and companies. This virtual collaboration has helped companies react faster to the many unexpected events that plague every supply chain. His current work is focused on helping organizations operate in the "now mode," (what others might call "in real time"), both in terms of handling unexpected events and processing regular business.
In an interview with Editor James Cooke, Martins discussed how social media could be put to work in any supply chain organization.
Name: Tony Martins Title: President Organization: Tony Martins & Associates Education: Technical University in Lisbon, Portugal, Bachelor of Applied Science in Civil Engineering Business Experience: Vice president of strategic services at Halo Pharmaceutical Inc.; vice president of supply chain at TEVA Canada; vice president of supply chain at Ratiopharm Canada
How did you end up in the supply chain field?
By circumstance. Actually, I'm a civil engineer. For the first two-thirds of my career, I consulted in enterprise systems architecture and engineering with a particular emphasis in business processes. That expertise landed me a contract in 2000 at a paper company in Canada, Domtar, to design processes for supply chain management, and that got me into the field. After Domtar I consulted at a generic pharmaceutical company, where I was then invited to be vice president of supply chain.
Why do you believe that supply chain executives should use social media and social networks in their jobs?
All the supply chain executives I've met in recent years face the same challenge: what I call "supply chain disjointedness." The hardest thing for them to do is to synchronize all the parts of that chain, the various organizations and teams that the material flow goes through. You can see this problem between companies: suppliers that are late, stockouts, excess inventory, and so forth. You can see this problem inside manufacturing operations as well: materials not ready for production or quality assurance waiting for documentation that isn't ready.
Synchronizing the supply chain can be helped by using advanced planning systems, but systems can only do two things, really: produce plans that synchronize everything, and send you messages telling you that something went out of sync.
When unexpected problems happen—materials don't pass laboratory tests, delays occur at the border, demand suddenly surges—the flow of materials through the chain stops, and something is delayed. That is what causes things to go out of sync. At best, a system can send you a signal, but a system can't solve the problem that caused the delay in the first place. When you multiply this phenomenon across a vast chain with thousands of suppliers and millions of items, the challenge is nightmarish.
Only people can solve a problem that stopped the supply chain. But that too is a challenge, because invariably when there is a problem, it requires individuals of multiple skills to come together to solve the problem. If an operator on a packaging line for pharmaceutical tablets opens a barrel of tablets and finds them cracked, what can he do? He calls his supervisor, but the supervisor has to get a QA [quality assurance] inspector to come in and decide whether to inspect the tablets and then continue packaging, or reject the batch. If the batch is suspended, the supervisor then needs to figure out how to put another batch on the line. For that, he needs planners to change the schedule and the warehouse to prepare a new batch. And so on.
This is the typical situation with problem solving, and the challenge stems from the fact that people of different skill sets are stuck in silos—functional silos, regional silos, or company silos. Bringing them together by traditional means is very slow.
I've seen companies use escalation procedures as a solution to problem solving. But escalation is a speed trap: The higher issues go in the organization, the slower they move. To solve a problem that demands multiple skills, you actually need the issue to move sideways, not upwards.
People also use meetings—oftentimes standard, repeatable meetings with all these directors meeting every week—to solve problems. But meetings aren't just slow, they are productivity busters. I spoke to a director who showed me that when he begins the month, 60 percent of his time is already booked in meetings.
Social media offers a solution to all these traps of the classical organization. With social media, we can implement a social model of collaboration. In the virtual space provided by social media, people can easily reach each other across silos, independently of the hierarchy. When social media is used to solve problems, we see people of multiple skills react spontaneously to posted issues. And the stream of conversations that ensue on the posting of problems leads to solutions that are extremely fast, compared to classic methods [of problem solving].
Supply chain executives should look at the social model of collaboration that can be enabled through social media as the most significant strategic weapon in supply chain optimizations today. It liberates them from the rigid framework of functional structures and client-supplier relationships. It is the best way I've seen to keep the supply chain moving quickly, in spite of the many problems that will always occur.
How can supply chain executives use social media in their operations?
Over the past 10 years, I've used social media to solve unexpected problems in operations and found certain strategies that work well. From that experience, I derived a model that I've been using in my consulting assignments and that has been systematically successful.
It's called the "hive model." A hive is a community of individuals of multiple skills who have the responsibility of solving issues within a specific scope. Individuals in a hive are empowered to make decisions using their knowledge or, when needed, by "poking" senior managers to "come in" and make decisions the hive cannot make.
In this model—which is a social model for the workplace—individuals don't go "upwards" to escalate issues; they call managers to come "downwards" and help solve the problem when and where the managers are needed. It is what I call "reverse escalation."
But what is the scope of a hive, and how many hives should there be? First and foremost: a hive is not a functional group. A universal principle I've learned over the years is that, generally speaking, collaboration isn't needed within a functional group, it is needed across skill sets. So, you should not create functional hives.
The scope of a hive equates with a mission or a goal that produces results that are significant to a customer. It is the reason why you can't have functional hives: No one functional group produces anything that is significant to a customer, not by itself.
One example of hives and their missions would be maintaining a high service level for customers of a specific market segment, which would involve individuals from customer service, product management, sales, and supply chain management (SCM). Another example would be achieving and maintaining fast delivery times for finished goods. That would involve people from SCM, warehousing, production, quality, and purchasing. A third example is the launch of new products on time. That would involve people from research and development, regulatory, finance, legal, SCM, customer service, product management, and sales.
In very large enterprises, these would be examples of types of hives rather than hives as such. For each type, you could have multiple hives. For instance, for the customer service example, you could have a hive for Canada, another for the U.S., another for the U.K., and so on. In the delivery-time example, you could have one for products coming from the plant in Goa, India, and another for the Ireland plant.
At times, the same people appear in multiple hives, and they play important roles in keeping the network of hives coherent. For instance, in the previous examples, the customer-service hives would be market-centric and the delivery-time hives would be plant-centric. In both, the people from SCM would function as the link between the two sides of that "matrix."
Can you give me more examples of how social media can improve supply chain flow?
As supply chain executives, we want to see the flow of material running smoothly, uninterrupted, and following established plans and schedules. If you use good practices and systems, you begin with a plan where all the steps of the chain are synchronized. What causes the flow to be interrupted and the chain to go out of sync are unexpected problems and events.
Unexpected problems can only be resolved by people (not systems) and invariably require individuals of multiple skills and roles to intervene together in order to solve these problems and unblock the material flow. The great obstacle to this coalescence of multiple skilled individuals is the organizational silo—whether it is the functional silos within one organization or the boundaries between organizations.
When you place individuals of multiple skills and organizations inside the same virtual space, you liberate them from the silo "prison," and they spontaneously and rapidly construct solutions to problems. This is something that some may find difficult to believe but which we see happening every day—for instance, in natural disasters when volunteers come together and start acting without any direction. I have seen it working personally over the past 10 years across 20 different companies, and it's beautiful to watch!
Thus, the solution to interruptions in material flows is to group people of multiple skills in virtual spaces and let them solve those problems. These groups must be centered around broad business goals. You must never group individuals in the virtual spaces of social media by skill or corporate affiliation because you would just be moving external silos into the virtual media—which would be self-defeating.
Why do you think so few companies are using social media in supply chain management?
The purpose of social media is to network people, to foster collaboration. Most companies have functional, hierarchical organizations, a corporate model established in the late 1920s by J.P. Sloan. Functional structures are, in and of themselves, anticollaboration, and they make it difficult for the social model to permeate the enterprise.
The functional hierarchy is a command-and-control model where everything everybody does is prescribed, predictable, and controlled by a few individuals at the top. It is the ideal model if an enterprise is to make lots of volume of a few things and it has control over its market. It worked perfectly as long as the economy was product-centric.
The social model has been emerging for the past 10 years and is based on completely different premises. For instance, it believes that there are a lot more people at the bottom than at the top, and therefore problems can be solved more rapidly at the bottom of the organization. It fosters the capacity of individuals in a community network to spontaneously construct solutions to problems or even to invent new processes, without any specific direction from a senior manager.
In the social model "plans of action," or POAs, are not made up front by a smart manager. They are developed progressively by a community that plans and acts at the same time. It's "organized chaos," something the hierarchical model dreads.
In the traditional functional model, communication is formal, actions obey established protocols, and ways of doing things are specified in detailed, controlled procedures. If you want to change how things are done or, worse, by whom, you have to go through the pain and the time [commitment] of changing the bureaucracy of a controlling structure—[you have to] change detailed procedures, go through long approval cycles, change job descriptions, and change organizational charts.
In the social model, roles are defined with clarity and simplicity. Communities are directed to broad but very clear, tangible goals, and individuals are free to figure out as communities how to get things done, leveraging their multiple skills and competencies.
The difficulty we're seeing with social media penetrating the core of enterprises is the difficulty of a command-and-control model migrating to a social model. But it will happen. By 2020, only 25 percent of the work force in North America will be "baby boomers"; most of the rest will be Generation Y and Z. [That's when things will change.]
How could social media transform supply chain operations in the future?
Supply chain management is the only real horizontal functional group at the core of manufacturing companies, if we exclude project management. It plays a very helpful role as the coordinator and "synchronizer" of all the pieces of the "puzzle" but suffers from having no real power [to impose] upon any of the doers of the chain and from the agonizing difficulty that disparate "silos" have in working together efficiently.
For SCM executives and professionals, social media is a godsend. I suggest that SCM practitioners are in the perfect place to insert the social model in the enterprise and between their enterprise and other supply chain partners and customers.
To leverage the power of the social model, SCM executives need to think less about systems, data, and procedures and need to focus on the power of getting people of diverse skills working together to solve problems.
In the past year alone, I lived through two experiences in two completely different companies, one small and one large, where I was asked to help improve the efficiency of the supply chain and to improve service levels. Contrary to what I would have done 10 years ago, I focused on getting people to work together, more so than on processes. Processes are just a frame of reference that helps everybody think coherently. They bring coherence to the workplace, but they don't make the workplace work fast.
The social model is extremely powerful because it doesn't need people to do anything new or anything they don't know how to do. Instead, it is an easy undertaking, because all you do is liberate people from silo boundaries so that they can do what they are already able to do. What can be easier?
In essence, then, SCM operations of the future should be social-intense rather than process- or systems-intense. Processes and systems will form the base upon which people will do work, but managing and coordinating the supply chain will be more about the ability to master the social model, to strategize the best arrangement of hive communities, and above all, to be able to do so across enterprises.
Benefits for Amazon's customers--who include marketplace retailers and logistics services customers, as well as companies who use its Amazon Web Services (AWS) platform and the e-commerce shoppers who buy goods on the website--will include generative AI (Gen AI) solutions that offer real-world value, the company said.
The launch is based on “Amazon Nova,” the company’s new generation of foundation models, the company said in a blog post. Data scientists use foundation models (FMs) to develop machine learning (ML) platforms more quickly than starting from scratch, allowing them to create artificial intelligence applications capable of performing a wide variety of general tasks, since they were trained on a broad spectrum of generalized data, Amazon says.
The new models are integrated with Amazon Bedrock, a managed service that makes FMs from AI companies and Amazon available for use through a single API. Using Amazon Bedrock, customers can experiment with and evaluate Amazon Nova models, as well as other FMs, to determine the best model for an application.
Calling the launch “the next step in our AI journey,” the company says Amazon Nova has the ability to process text, image, and video as prompts, so customers can use Amazon Nova-powered generative AI applications to understand videos, charts, and documents, or to generate videos and other multimedia content.
“Inside Amazon, we have about 1,000 Gen AI applications in motion, and we’ve had a bird’s-eye view of what application builders are still grappling with,” Rohit Prasad, SVP of Amazon Artificial General Intelligence, said in a release. “Our new Amazon Nova models are intended to help with these challenges for internal and external builders, and provide compelling intelligence and content generation while also delivering meaningful progress on latency, cost-effectiveness, customization, information grounding, and agentic capabilities.”
The new Amazon Nova models available in Amazon Bedrock include:
Amazon Nova Micro, a text-only model that delivers the lowest latency responses at very low cost.
Amazon Nova Lite, a very low-cost multimodal model that is lightning fast for processing image, video, and text inputs.
Amazon Nova Pro, a highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks.
Amazon Nova Premier, the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models
Amazon Nova Canvas, a state-of-the-art image generation model.
Amazon Nova Reel, a state-of-the-art video generation model that can transform a single image input into a brief video with the prompt: dolly forward.
Economic activity in the logistics industry expanded in November, continuing a steady growth pattern that began earlier this year and signaling a return to seasonality after several years of fluctuating conditions, according to the latest Logistics Managers’ Index report (LMI), released today.
The November LMI registered 58.4, down slightly from October’s reading of 58.9, which was the highest level in two years. The LMI is a monthly gauge of business conditions across warehousing and logistics markets; a reading above 50 indicates growth and a reading below 50 indicates contraction.
“The overall index has been very consistent in the past three months, with readings of 58.6, 58.9, and 58.4,” LMI analyst Zac Rogers, associate professor of supply chain management at Colorado State University, wrote in the November LMI report. “This plateau is slightly higher than a similar plateau of consistency earlier in the year when May to August saw four readings between 55.3 and 56.4. Seasonally speaking, it is consistent that this later year run of readings would be the highest all year.”
Separately, Rogers said the end-of-year growth reflects the return to a healthy holiday peak, which started when inventory levels expanded in late summer and early fall as retailers began stocking up to meet consumer demand. Pandemic-driven shifts in consumer buying behavior, inflation, and economic uncertainty contributed to volatile peak season conditions over the past four years, with the LMI swinging from record-high growth in late 2020 and 2021 to slower growth in 2022 and contraction in 2023.
“The LMI contracted at this time a year ago, so basically [there was] no peak season,” Rogers said, citing inflation as a drag on demand. “To have a normal November … [really] for the first time in five years, justifies what we’ve seen all these companies doing—building up inventory in a sustainable, seasonal way.
“Based on what we’re seeing, a lot of supply chains called it right and were ready for healthy holiday season, so far.”
The LMI has remained in the mid to high 50s range since January—with the exception of April, when the index dipped to 52.9—signaling strong and consistent demand for warehousing and transportation services.
The LMI is a monthly survey of logistics managers from across the country. It tracks industry growth overall and across eight areas: inventory levels and costs; warehousing capacity, utilization, and prices; and transportation capacity, utilization, and prices. The report is released monthly by researchers from Arizona State University, Colorado State University, Rochester Institute of Technology, Rutgers University, and the University of Nevada, Reno, in conjunction with the Council of Supply Chain Management Professionals (CSCMP).
Specifically, 48% of respondents identified rising tariffs and trade barriers as their top concern, followed by supply chain disruptions at 45% and geopolitical instability at 41%. Moreover, tariffs and trade barriers ranked as the priority issue regardless of company size, as respondents at companies with less than 250 employees, 251-500, 501-1,000, 1,001-50,000 and 50,000+ employees all cited it as the most significant issue they are currently facing.
“Evolving tariffs and trade policies are one of a number of complex issues requiring organizations to build more resilience into their supply chains through compliance, technology and strategic planning,” Jackson Wood, Director, Industry Strategy at Descartes, said in a release. “With the potential for the incoming U.S. administration to impose new and additional tariffs on a wide variety of goods and countries of origin, U.S. importers may need to significantly re-engineer their sourcing strategies to mitigate potentially higher costs.”
Grocers and retailers are struggling to get their systems back online just before the winter holiday peak, following a software hack that hit the supply chain software provider Blue Yonder this week.
The ransomware attack is snarling inventory distribution patterns because of its impact on systems such as the employee scheduling system for coffee stalwart Starbucks, according to a published report. Scottsdale, Arizona-based Blue Yonder provides a wide range of supply chain software, including warehouse management system (WMS), transportation management system (TMS), order management and commerce, network and control tower, returns management, and others.
Blue Yonder today acknowledged the disruptions, saying they were the result of a ransomware incident affecting its managed services hosted environment. The company has established a dedicated cybersecurity incident update webpage to communicate its recovery progress, but it had not been updated for nearly two days as of Tuesday afternoon. “Since learning of the incident, the Blue Yonder team has been working diligently together with external cybersecurity firms to make progress in their recovery process. We have implemented several defensive and forensic protocols,” a Blue Yonder spokesperson said in an email.
The timing of the attack suggests that hackers may have targeted Blue Yonder in a calculated attack based on the upcoming Thanksgiving break, since many U.S. organizations downsize their security staffing on holidays and weekends, according to a statement from Dan Lattimer, VP of Semperis, a New Jersey-based computer and network security firm.
“While details on the specifics of the Blue Yonder attack are scant, it is yet another reminder how damaging supply chain disruptions become when suppliers are taken offline. Kudos to Blue Yonder for dealing with this cyberattack head on but we still don’t know how far reaching the business disruptions will be in the UK, U.S. and other countries,” Lattimer said. “Now is time for organizations to fight back against threat actors. Deciding whether or not to pay a ransom is a personal decision that each company has to make, but paying emboldens threat actors and throws more fuel onto an already burning inferno. Simply, it doesn’t pay-to-pay,” he said.
The incident closely followed an unrelated cybersecurity issue at the grocery giant Ahold Delhaize, which has been recovering from impacts to the Stop & Shop chain that it across the U.S. Northeast region. In a statement apologizing to customers for the inconvenience of the cybersecurity issue, Netherlands-based Ahold Delhaize said its top priority is the security of its customers, associates and partners, and that the company’s internal IT security staff was working with external cybersecurity experts and law enforcement to speed recovery. “Our teams are taking steps to assess and mitigate the issue. This includes taking some systems offline to help protect them. This issue and subsequent mitigating actions have affected certain Ahold Delhaize USA brands and services including a number of pharmacies and certain e-commerce operations,” the company said.
Editor's note:This article was revised on November 27 to indicate that the cybersecurity issue at Ahold Delhaize was unrelated to the Blue Yonder hack.
The new funding brings Amazon's total investment in Anthropic to $8 billion, while maintaining the e-commerce giant’s position as a minority investor, according to Anthropic. The partnership was launched in 2023, when Amazon invested its first $4 billion round in the firm.
Anthropic’s “Claude” family of AI assistant models is available on AWS’s Amazon Bedrock, which is a cloud-based managed service that lets companies build specialized generative AI applications by choosing from an array of foundation models (FMs) developed by AI providers like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself.
According to Amazon, tens of thousands of customers, from startups to enterprises and government institutions, are currently running their generative AI workloads using Anthropic’s models in the AWS cloud. Those GenAI tools are powering tasks such as customer service chatbots, coding assistants, translation applications, drug discovery, engineering design, and complex business processes.
"The response from AWS customers who are developing generative AI applications powered by Anthropic in Amazon Bedrock has been remarkable," Matt Garman, AWS CEO, said in a release. "By continuing to deploy Anthropic models in Amazon Bedrock and collaborating with Anthropic on the development of our custom Trainium chips, we’ll keep pushing the boundaries of what customers can achieve with generative AI technologies. We’ve been impressed by Anthropic’s pace of innovation and commitment to responsible development of generative AI, and look forward to deepening our collaboration."