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/.
ReposiTrak, a global food traceability network operator, will partner with Upshop, a provider of store operations technology for food retailers, to create an end-to-end grocery traceability solution that reaches from the supply chain to the retail store, the firms said today.
The partnership creates a data connection between suppliers and the retail store. It works by integrating Salt Lake City-based ReposiTrak’s network of thousands of suppliers and their traceability shipment data with Austin, Texas-based Upshop’s network of more than 450 retailers and their retail stores.
That accomplishment is important because it will allow food sector trading partners to meet the U.S. FDA’s Food Safety Modernization Act Section 204d (FSMA 204) requirements that they must create and store complete traceability records for certain foods.
And according to ReposiTrak and Upshop, the traceability solution may also unlock potential business benefits. It could do that by creating margin and growth opportunities in stores by connecting supply chain data with store data, thus allowing users to optimize inventory, labor, and customer experience management automation.
"Traceability requires data from the supply chain and – importantly – confirmation at the retail store that the proper and accurate lot code data from each shipment has been captured when the product is received. The missing piece for us has been the supply chain data. ReposiTrak is the leader in capturing and managing supply chain data, starting at the suppliers. Together, we can deliver a single, comprehensive traceability solution," Mark Hawthorne, chief innovation and strategy officer at Upshop, said in a release.
"Once the data is flowing the benefits are compounding. Traceability data can be used to improve food safety, reduce invoice discrepancies, and identify ways to reduce waste and improve efficiencies throughout the store,” Hawthorne said.
Under FSMA 204, retailers are required by law to track Key Data Elements (KDEs) to the store-level for every shipment containing high-risk food items from the Food Traceability List (FTL). ReposiTrak and Upshop say that major industry retailers have made public commitments to traceability, announcing programs that require more traceability data for all food product on a faster timeline. The efforts of those retailers have activated the industry, motivating others to institute traceability programs now, ahead of the FDA’s enforcement deadline of January 20, 2026.
Inclusive procurement practices can fuel economic growth and create jobs worldwide through increased partnerships with small and diverse suppliers, according to a study from the Illinois firm Supplier.io.
The firm’s “2024 Supplier Diversity Economic Impact Report” found that $168 billion spent directly with those suppliers generated a total economic impact of $303 billion. That analysis can help supplier diversity managers and chief procurement officers implement programs that grow diversity spend, improve supply chain competitiveness, and increase brand value, the firm said.
The companies featured in Supplier.io’s report collectively supported more than 710,000 direct jobs and contributed $60 billion in direct wages through their investments in small and diverse suppliers. According to the analysis, those purchases created a ripple effect, supporting over 1.4 million jobs and driving $105 billion in total income when factoring in direct, indirect, and induced economic impacts.
“At Supplier.io, we believe that empowering businesses with advanced supplier intelligence not only enhances their operational resilience but also significantly mitigates risks,” Aylin Basom, CEO of Supplier.io, said in a release. “Our platform provides critical insights that drive efficiency and innovation, enabling companies to find and invest in small and diverse suppliers. This approach helps build stronger, more reliable supply chains.”
Logistics industry growth slowed in December due to a seasonal wind-down of inventory and following one of the busiest holiday shopping seasons on record, according to the latest Logistics Managers’ Index (LMI) report, released this week.
The monthly LMI was 57.3 in December, down more than a percentage point from November’s reading of 58.4. Despite the slowdown, economic activity across the industry continued to expand, as an LMI reading above 50 indicates growth and a reading below 50 indicates contraction.
The LMI researchers said the monthly conditions were largely due to seasonal drawdowns in inventory levels—and the associated costs of holding them—at the retail level. The LMI’s Inventory Levels index registered 50, falling from 56.1 in November. That reduction also affected warehousing capacity, which slowed but remained in expansion mode: The LMI’s warehousing capacity index fell 7 points to a reading of 61.6.
December’s results reflect a continued trend toward more typical industry growth patterns following recent years of volatility—and they point to a successful peak holiday season as well.
“Retailers were clearly correct in their bet to stock [up] on goods ahead of the holiday season,” the LMI researchers wrote in their monthly report. “Holiday sales from November until Christmas Eve were up 3.8% year-over-year according to Mastercard. This was largely driven by a 6.7% increase in e-commerce sales, although in-person spending was up 2.9% as well.”
And those results came during a compressed peak shopping cycle.
“The increase in spending came despite the shorter holiday season due to the late Thanksgiving,” the researchers also wrote, citing National Retail Federation (NRF) estimates that U.S. shoppers spent just short of a trillion dollars in November and December, making it the busiest holiday season of all time.
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, the two sides remain at odds over provisions related to the deployment of semi-automated technologies like rail-mounted gantry cranes, according to an analysis by the Kansas-based 3PL Noatum Logistics. The ILA has strongly opposed further automation, arguing it threatens dockworker protections, while the USMX contends that automation enhances productivity and can create long-term opportunities for labor.
In fact, U.S. importers are already taking action to prevent the impact of such a strike, “pulling forward” their container shipments by rushing imports to earlier dates on the calendar, according to analysis by supply chain visibility provider Project44. That strategy can help companies to build enough safety stock to dampen the damage of events like the strike and like the steep tariffs being threatened by the incoming Trump administration.
Likewise, some ocean carriers have already instituted January surcharges in pre-emption of possible labor action, which could support inbound ocean rates if a strike occurs, according to freight market analysts with TD Cowen. In the meantime, the outcome of the new negotiations are seen with “significant uncertainty,” due to the contentious history of the discussion and to the timing of the talks that overlap with a transition between two White House regimes, analysts said.
That percentage is even greater than the 13.21% of total retail sales that were returned. Measured in dollars, returns (including both legitimate and fraudulent) last year reached $685 billion out of the $5.19 trillion in total retail sales.
“It’s clear why retailers want to limit bad actors that exhibit fraudulent and abusive returns behavior, but the reality is that they are finding stricter returns policies are not reducing the returns fraud they face,” Michael Osborne, CEO of Appriss Retail, said in a release.
Specifically, the report lists the leading types of returns fraud and abuse reported by retailers in 2024, including findings that:
60% of retailers surveyed reported incidents of “wardrobing,” or the act of consumers buying an item, using the merchandise, and then returning it.
55% cited cases of returning an item obtained through fraudulent or stolen tender, such as stolen credit cards, counterfeit bills, gift cards obtained through fraudulent means or fraudulent checks.
48% of retailers faced occurrences of returning stolen merchandise.
Together, those statistics show that the problem remains prevalent despite growing efforts by retailers to curb retail returns fraud through stricter returns policies, while still offering a sufficiently open returns policy to keep customers loyal, they said.
“Returns are a significant cost for retailers, and the rise of online shopping could increase this trend,” Kevin Mahoney, managing director, retail, Deloitte Consulting LLP, said. “As retailers implement policies to address this issue, they should avoid negatively affecting customer loyalty and retention. Effective policies should reduce losses for the retailer while minimally impacting the customer experience. This approach can be crucial for long-term success.”