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/.
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.
The practice consists of 5,000 professionals from Accenture and from Avanade—the consulting firm’s joint venture with Microsoft. They will be supported by Microsoft product specialists who will work closely with the Accenture Center for Advanced AI. Together, that group will collaborate on AI and Copilot agent templates, extensions, plugins, and connectors to help organizations leverage their data and gen AI to reduce costs, improve efficiencies and drive growth, they said on Thursday.
Accenture and Avanade say they have already developed some AI tools for these applications. For example, a supplier discovery and risk agent can deliver real-time market insights, agile supply chain responses, and better vendor selection, which could result in up to 15% cost savings. And a procure-to-pay agent could improve efficiency by up to 40% and enhance vendor relations and satisfaction by addressing urgent payment requirements and avoiding disruptions of key services
Likewise, they have also built solutions for clients using Microsoft 365 Copilot technology. For example, they have created Copilots for a variety of industries and functions including finance, manufacturing, supply chain, retail, and consumer goods and healthcare.
Another part of the new practice will be educating clients how to use the technology, using an “Azure Generative AI Engineer Nanodegree program” to teach users how to design, build, and operationalize AI-driven applications on Azure, Microsoft’s cloud computing platform. The online classes will teach learners how to use AI models to solve real-world problems through automation, data insights, and generative AI solutions, the firms said.
“We are pleased to deepen our collaboration with Accenture to help our mutual customers develop AI-first business processes responsibly and securely, while helping them drive market differentiation,” Judson Althoff, executive vice president and chief commercial officer at Microsoft, said in a release. “By bringing together Copilots and human ambition, paired with the autonomous capabilities of an agent, we can accelerate AI transformation for organizations across industries and help them realize successful business outcomes through pragmatic innovation.”
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.”
Third-party logistics (3PL) providers’ share of large real estate leases across the U.S. rose significantly through the third quarter of 2024 compared to the same time last year, as more retailers and wholesalers have been outsourcing their warehouse and distribution operations to 3PLs, according to a report from real estate firm CBRE.
Specifically, 3PLs’ share of bulk industrial leasing activity—covering leases of 100,000 square feet or more—rose to 34.1% through Q3 of this year from 30.6% through Q3 last year. By raw numbers, 3PLs have accounted for 498 bulk leases so far this year, up by 9% from the 457 at this time last year.
By category, 3PLs’ share of 34.1% ranked above other occupier types such as: general retail and wholesale (26.6), food and beverage (9.0), automobiles, tires, and parts (7.9), manufacturing (6.2), building materials and construction (5.6), e-commerce only (5.6), medical (2.7), and undisclosed (2.3).
On a quarterly basis, bulk leasing by 3PLs has steadily increased this year, reversing the steadily decreasing trend of 2023. CBRE pointed to three main reasons for that resurgence:
Import Flexibility. Labor disruptions, extreme weather patterns, and geopolitical uncertainty have led many companies to diversify their import locations. Using 3PLs allows for more inventory flexibility, a key component to retailer success in times of uncertainty.
Capital Allocation/Preservation. Warehousing and distribution of goods is expensive, draining capital resources for transportation costs, rent, or labor. But outsourcing to 3PLs provides companies with more flexibility to increase or decrease their inventories without any risk of signing their own lease commitments. And using a 3PL also allows companies to switch supply chain costs from capital to operational expenses.
Focus on Core Competency. Outsourcing their logistics operations to 3PLs allows companies to focus on core business competencies that drive revenue, such as product development, sales, and customer service.
Looking into the future, these same trends will continue to drive 3PL warehouse demand, CBRE said. Economic, geopolitical and supply chain uncertainty will remain prevalent in the coming quarters but will not diminish the need to effectively manage inventory levels.
That result came from the company’s “GEP Global Supply Chain Volatility Index,” an indicator tracking demand conditions, shortages, transportation costs, inventories, and backlogs based on a monthly survey of 27,000 businesses. The October index number was -0.39, which was up only slightly from its level of -0.43 in September.
Researchers found a steep rise in slack across North American supply chains due to declining factory activity in the U.S. In fact, purchasing managers at U.S. manufacturers made their strongest cutbacks to buying volumes in nearly a year and a half, indicating that factories in the world's largest economy are preparing for lower production volumes, GEP said.
Elsewhere, suppliers feeding Asia also reported spare capacity in October, albeit to a lesser degree than seen in Western markets. Europe's industrial plight remained a key feature of the data in October, as vendor capacity was significantly underutilized, reflecting a continuation of subdued demand in key manufacturing hubs across the continent.
"We're in a buyers' market. October is the fourth straight month that suppliers worldwide reported spare capacity, with notable contractions in factory demand across North America and Europe, underscoring the challenging outlook for Western manufacturers," Todd Bremer, vice president, GEP, said in a release. "President-elect Trump inherits U.S. manufacturers with plenty of spare capacity while in contrast, China's modest rebound and strong expansion in India demonstrate greater resilience in Asia."