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/.
Specifically, the new global average robot density has reached a record 162 units per 10,000 employees in 2023, which is more than double the mark of 74 units measured seven years ago.
Broken into geographical regions, the European Union has a robot density of 219 units per 10,000 employees, an increase of 5.2%, with Germany, Sweden, Denmark and Slovenia in the global top ten. Next, North America’s robot density is 197 units per 10,000 employees – up 4.2%. And Asia has a robot density of 182 units per 10,000 persons employed in manufacturing - an increase of 7.6%. The economies of Korea, Singapore, mainland China and Japan are among the top ten most automated countries.
Broken into individual countries, the U.S. ranked in 10th place in 2023, with a robot density of 295 units. Higher up on the list, the top five are:
The Republic of Korea, with 1,012 robot units, showing a 5% increase on average each year since 2018 thanks to its strong electronics and automotive industries.
Singapore had 770 robot units, in part because it is a small country with a very low number of employees in the manufacturing industry, so it can reach a high robot density with a relatively small operational stock.
China took third place in 2023, surpassing Germany and Japan with a mark of 470 robot units as the nation has managed to double its robot density within four years.
Germany ranks fourth with 429 robot units for a 5% CAGR since 2018.
Japan is in fifth place with 419 robot units, showing growth of 7% on average each year from 2018 to 2023.
Progress in generative AI (GenAI) is poised to impact business procurement processes through advancements in three areas—agentic reasoning, multimodality, and AI agents—according to Gartner Inc.
Those functions will redefine how procurement operates and significantly impact the agendas of chief procurement officers (CPOs). And 72% of procurement leaders are already prioritizing the integration of GenAI into their strategies, thus highlighting the recognition of its potential to drive significant improvements in efficiency and effectiveness, Gartner found in a survey conducted in July, 2024, with 258 global respondents.
Gartner defined the new functions as follows:
Agentic reasoning in GenAI allows for advanced decision-making processes that mimic human-like cognition. This capability will enable procurement functions to leverage GenAI to analyze complex scenarios and make informed decisions with greater accuracy and speed.
Multimodality refers to the ability of GenAI to process and integrate multiple forms of data, such as text, images, and audio. This will make GenAI more intuitively consumable to users and enhance procurement's ability to gather and analyze diverse information sources, leading to more comprehensive insights and better-informed strategies.
AI agents are autonomous systems that can perform tasks and make decisions on behalf of human operators. In procurement, these agents will automate procurement tasks and activities, freeing up human resources to focus on strategic initiatives, complex problem-solving and edge cases.
As CPOs look to maximize the value of GenAI in procurement, the study recommended three starting points: double down on data governance, develop and incorporate privacy standards into contracts, and increase procurement thresholds.
“These advancements will usher procurement into an era where the distance between ideas, insights, and actions will shorten rapidly,” Ryan Polk, senior director analyst in Gartner’s Supply Chain practice, said in a release. "Procurement leaders who build their foundation now through a focus on data quality, privacy and risk management have the potential to reap new levels of productivity and strategic value from the technology."
Businesses are cautiously optimistic as peak holiday shipping season draws near, with many anticipating year-over-year sales increases as they continue to battle challenging supply chain conditions.
That’s according to the DHL 2024 Peak Season Shipping Survey, released today by express shipping service provider DHL Express U.S. The company surveyed small and medium-sized enterprises (SMEs) to gauge their holiday business outlook compared to last year and found that a mix of optimism and “strategic caution” prevail ahead of this year’s peak.
Nearly half (48%) of the SMEs surveyed said they expect higher holiday sales compared to 2023, while 44% said they expect sales to remain on par with last year, and just 8% said they foresee a decline. Respondents said the main challenges to hitting those goals are supply chain problems (35%), inflation and fluctuating consumer demand (34%), staffing (16%), and inventory challenges (14%).
But respondents said they have strategies in place to tackle those issues. Many said they began preparing for holiday season earlier this year—with 45% saying they started planning in Q2 or earlier, up from 39% last year. Other strategies include expanding into international markets (35%) and leveraging holiday discounts (32%).
Sixty percent of respondents said they will prioritize personalized customer service as a way to enhance customer interactions and loyalty this year. Still others said they will invest in enhanced web and mobile experiences (23%) and eco-friendly practices (13%) to draw customers this holiday season.
Census data showed that overall retail sales in October were up 0.4% seasonally adjusted month over month and up 2.8% unadjusted year over year. That compared with increases of 0.8% month over month and 2% year over year in September.
October’s core retail sales as defined by NRF — based on the Census data but excluding automobile dealers, gasoline stations and restaurants — were unchanged seasonally adjusted month over month but up 5.4% unadjusted year over year.
Core sales were up 3.5% year over year for the first 10 months of the year, in line with NRF’s forecast for 2024 retail sales to grow between 2.5% and 3.5% over 2023. NRF is forecasting that 2024 holiday sales during November and December will also increase between 2.5% and 3.5% over the same time last year.
“October’s pickup in retail sales shows a healthy pace of spending as many consumers got an early start on holiday shopping,” NRF Chief Economist Jack Kleinhenz said in a release. “October sales were a good early step forward into the holiday shopping season, which is now fully underway. Falling energy prices have likely provided extra dollars for household spending on retail merchandise.”
Despite that positive trend, market watchers cautioned that retailers still need to offer competitive value propositions and customer experience in order to succeed in the holiday season. “The American consumer has been more resilient than anyone could have expected. But that isn’t a free pass for retailers to under invest in their stores,” Nikki Baird, VP of strategy & product at Aptos, a solutions provider of unified retail technology based out of Alpharetta, Georgia, said in a statement. “They need to make investments in labor, customer experience tech, and digital transformation. It has been too easy to kick the can down the road until you suddenly realize there’s no road left.”
A similar message came from Chip West, a retail and consumer behavior expert at the marketing, packaging, print and supply chain solutions provider RRD. “October’s increase proved to be slightly better than projections and was likely boosted by lower fuel prices. As inflation slowed for a number of months, prices in several categories have stabilized, with some even showing declines, offering further relief to consumers,” West said. “The data also looks to be a positive sign as we kick off the holiday shopping season. Promotions and discounts will play a prominent role in holiday shopping behavior as they are key influencers in consumer’s purchasing decisions.”
Supply chains are poised for accelerated adoption of mobile robots and drones as those technologies mature and companies focus on implementing artificial intelligence (AI) and automation across their logistics operations.
That’s according to data from Gartner’s Hype Cycle for Mobile Robots and Drones, released this week. The report shows that several mobile robotics technologies will mature over the next two to five years, and also identifies breakthrough and rising technologies set to have an impact further out.
Gartner’s Hype Cycle is a graphical depiction of a common pattern that arises with each new technology or innovation through five phases of maturity and adoption. Chief supply chain officers can use the research to find robotic solutions that meet their needs, according to Gartner.
Gartner, Inc.
The mobile robotic technologies set to mature over the next two to five years are: collaborative in-aisle picking robots, light-cargo delivery robots, autonomous mobile robots (AMRs) for transport, mobile robotic goods-to-person systems, and robotic cube storage systems.
“As organizations look to further improve logistic operations, support automation and augment humans in various jobs, supply chain leaders have turned to mobile robots to support their strategy,” Dwight Klappich, VP analyst and Gartner fellow with the Gartner Supply Chain practice, said in a statement announcing the findings. “Mobile robots are continuing to evolve, becoming more powerful and practical, thus paving the way for continued technology innovation.”
Technologies that are on the rise include autonomous data collection and inspection technologies, which are expected to deliver benefits over the next five to 10 years. These include solutions like indoor-flying drones, which utilize AI-enabled vision or RFID to help with time-consuming inventory management, inspection, and surveillance tasks. The technology can also alleviate safety concerns that arise in warehouses, such as workers counting inventory in hard-to-reach places.
“Automating labor-intensive tasks can provide notable benefits,” Klappich said. “With AI capabilities increasingly embedded in mobile robots and drones, the potential to function unaided and adapt to environments will make it possible to support a growing number of use cases.”
Humanoid robots—which resemble the human body in shape—are among the technologies in the breakthrough stage, meaning that they are expected to have a transformational effect on supply chains, but their mainstream adoption could take 10 years or more.
“For supply chains with high-volume and predictable processes, humanoid robots have the potential to enhance or supplement the supply chain workforce,” Klappich also said. “However, while the pace of innovation is encouraging, the industry is years away from general-purpose humanoid robots being used in more complex retail and industrial environments.”