Five years ago, IBM went in search of a tool to help it better assess the vulnerabilities of its global pool of suppliers. When the company couldn't find what it needed, Louis R. Ferretti and his team built their own.
As supply chains have become more global, the complexities of managing risk across vast and varied physical and political geographies arguably have grown by orders of magnitude. That's a lesson that IBM, one of the world's largest technology companies, has taken to heart. Beginning in 2009, the company undertook the task of building a complex supply chain risk management tool, now deployed globally, that provides managers with a way to examine supply risk in a much more robust fashion than ever before.
The team that developed it was headed by Louis R. Ferretti, the project executive who leads global and strategic programs within IBM's Integrated Supply Chain business unit and across its global supplier network. Ferretti's charge includes environmental compliance, supply chain social responsibility, conflict minerals, business continuity planning, sustainability, and risk management. He is also a member of IBM's corporate crisis management team.
Ferretti recently spoke to Editorial Director Peter Bradley about the development and rollout of the supply chain risk management tool.
Companies have been talking about risk management for a long time. What led IBM to develop a supply chain risk tool?
IBM, like others, has always assessed supply chain risk. Typically, we would look at whether our supplier was a single or sole source supplier and whether there was a financial risk associated with that supplier, and maybe we'd look at some logistics aspects. That was the sum total of what was done for our suppliers across the board.
But our supply chain has become global in nature. We are sourcing in probably 80 countries, and we are sourcing many times in countries where the risks are much higher. So our senior leaders asked our CPO (chief procurement officer) what we were doing. Quickly, our CPO responded that we would work to address supplier and supply chain risk in a much broader, holistic fashion. We would cover political, financial, economic, logistics, and climatic factors. Our CPO listed probably a dozen factors that we would consider in a newer approach to risk. That was the mission that was handed over to me in 2009.
Give me a sense of the timeline of the process to make that happen.
I needed to step back. I thought that there was a supply chain risk industry, and what I would do is go find a subscription and get someone to provide me with all the information I was looking for as far as disruptions to the supply chain. After interviewing large companies and even small companies, they told us at the time that this was interesting but that nobody else was asking for it.
I figured that if they didn't have it and would have to build it, that we could probably do an equally good or better job of building it for ourselves and customizing it to our specific risk profile. We had a small core team, maybe a half-dozen people, and we started examining how we would put this together. It probably took us a little bit over a year to put our concept in place, to develop the requirements, and actually do the coding. The end result is what's known as our "Total Risk Assessment Tool and Process."
When I got this assignment, I wasn't told to build a tool. I was told to put a process in place that would assess supplier and supply chain risk and all these factors. Once we started examining the scope of risk and then looking at the data that we would need, we realized very quickly that this was not a spreadsheet tool, but it really had to be a much more sophisticated database and analytic tool [for] developing an algorithm that would look at this information and produce, as a result, the level of risk. But that is not where I started out.
Name: Louis R. Ferretti Title: Project executive Organization: IBM Integrated Supply Chain Education: Bachelor of Science in Engineering Science, City University of New York Business experience: Senior management and executive positions in engineering, procurement, materials management, supply and demand management, and operations
Prior to developing this tool, how did you assess supply risk?
Our procurement councils—what most companies call category management groups—would look at their suppliers, and they would make a determination of the level of risk, typically based upon one or two factors: single source and financial risk. Now, the interesting thing is that comparing council to council, there was really no definition of risk. There were no criteria. Each council—we had dozens of councils—would make, I want to say, a subjective call. They really didn't have a benchmark in order to compare one with another.
Let's go back to the development of the tool. What did it take to build and get it in place?
We assembled a small team from procurement, engineering, GBS [IBM's Global Business Services consulting division], business integration and transformation, and the chief information officer's (CIO's) office. We determined what risks we needed to consider, what data we would need to evaluate the risks, an algorithm to assess the impact versus likelihood of an event occurring, who the users would be, what kind of training they would need, and how often to run the tool. We had to develop thresholds and metrics as well as a management system around the process. Gathering the tool requirements, tool development, and testing took about a year.
Tell me a little bit about the rollout.
Prior to the actual rollout, we built a prototype and then ran a pilot with several users. We got excellent feedback and made changes. The CPO was a very strong proponent of using the tool. And within just about a year from the initial deployment, the Fukushima earthquake and tsunami struck Japan. The teams found the tool invaluable in gaining insight as to which suppliers we had in Japan, what commodities were made there, etc. Then later that year came the Thailand floods. After those two events, all of the procurement team members were in.
Now, this is clearly extra work for the sourcing team. We did a couple of things to ease into this. We had extensive education on not just why we were doing this but also on how the tool works; the purpose of the questions; why we would look at the country, region, suppliers, supplier sites, and the commodity—and why we chose those particular things; and then how the algorithm would take that information, weigh it, and produce a result. Then, when we had a result, what we would do with it.
There must be some way for the tool to adjust to changing conditions?
The factors that are considered in the tool are not ones where you would typically see dramatic changes from week to week, month to month, and so forth, and we don't run the tool that frequently, though we could. What really changes are situations, whether it be the Thailand floods, issues with Ukraine, the protests in Hong Kong. Those things are real time. To augment the tool's calculation on the high-risk/medium-risk/low-risk slider, you rely quite heavily on the real-time alerts. So we have a system in which we collect information around the clock, and we look at the data and the alerts, and we make a determination very quickly as to whether or not we think it is going to impact the supply chain only in the short term or if it is a fundamental issue that is going to change the supply chain for the longer term.
What has the tool done for IBM?
Well, overall it has raised the level of risk awareness and sensitivity. Sourcing people around the world understand that sourcing the product and getting the best price and getting it delivered on time are all necessary, but understanding the level of risk that the supplier brings as well as [the level of risk in] the part's supply chain is something that is equal to the other items.
In the Japan situation, the tool immediately told us how many suppliers we had in Japan, whether they were tier one or two, what commodities they provided, etc. The executive team could reach out to the suppliers right away and determine if the factories would be up and running and if not now, when. We had an abundance of information at our fingertips that we eventually would have gotten to, but the sooner you get this information, the more options you have to deal with the crisis, because for the most part, competitors are going to the same suppliers, the same manufacturing lines, the same capacity.
Do you have plans to expand the tool's scope and features?
There are really a couple of things here. It would sure be nice if we could see a picture of the factory when our executive is talking to that top executive in Japan. Actually, we developed what we call a "risk app" and tested it, and we have it in play now. We are going to be using it for other aspects of IBM, so this gives us the ability to communicate on the spot.
The next thing that we did is [a result of] the Thailand flooding. About 50 percent of the hard drive business is in Thailand, so that situation was very, very acute. We were asked to look at supply clustering. So we looked around, and we found that we do have suppliers in several sites around the world that are clustered in different geographies. So we started to look at the potential for flooding. We actually have this now; we've got a prototype that is up and running, and we are using it.
Editor's note: To learn more about the development of IBM's Total Risk Assessment Tool, watch our exclusive interview with Louis Ferretti at www.supplychainquarterly.com/video/index/3866842923001/.
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.”
Freight transportation providers and maritime port operators are bracing for rough business impacts if the incoming Trump Administration follows through on its pledge to impose a 25% tariff on Mexico and Canada and an additional 10% tariff on China, analysts say.
Industry contacts say they fear that such heavy fees could prompt importers to “pull forward” a massive surge of goods before the new administration is seated on January 20, and then quickly cut back again once the hefty new fees are instituted, according to a report from TD Cowen.
As a measure of the potential economic impact of that uncertain scenario, transport company stocks were mostly trading down yesterday following Donald Trump’s social media post on Monday night announcing the proposed new policy, TD Cowen said in a note to investors.
But an alternative impact of the tariff jump could be that it doesn’t happen at all, but is merely a threat intended to force other nations to the table to strike new deals on trade, immigration, or drug smuggling. “Trump is perfectly comfortable being a policy paradox and pushing competing policies (and people); this ‘chaos premium’ only increases his leverage in negotiations,” the firm said.
However, if that truly is the new administration’s strategy, it could backfire by sparking a tit-for-tat trade war that includes retaliatory tariffs by other countries on U.S. exports, other analysts said. “The additional tariffs on China that the incoming US administration plans to impose will add to restrictions on China-made products, driving up their prices and fueling an already-under-way surge in efforts to beat the tariffs by importing products before the inauguration,” Andrei Quinn-Barabanov, Senior Director – Supplier Risk Management solutions at Moody’s, said in a statement. “The Mexico and Canada tariffs may be an invitation to negotiations with the U.S. on immigration and other issues. If implemented, they would also be challenging to maintain, because the two nations can threaten the U.S. with significant retaliation and because of a likely pressure from the American business community that would be greatly affected by the costs and supply chain obstacles resulting from the tariffs.”
New tariffs could also damage sensitive supply chains by triggering unintended consequences, according to a report by Matt Lekstutis, Director at Efficio, a global procurement and supply chain procurement consultancy. “While ultimate tariff policy will likely be implemented to achieve specific US re-industrialization and other political objectives, the responses of various nations, companies and trading partners is not easily predicted and companies that even have little or no exposure to Mexico, China or Canada could be impacted. New tariffs may disrupt supply chains dependent on just in time deliveries as they adjust to new trade flows. This could affect all industries dependent on distribution and logistics providers and result in supply shortages,” Lekstutis said.
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.