When IBM switched from a focus on regional business units to operating as a global organization, it had to create a single, integrated supply chain aligned with the new business model.
In the early 1990s, International Business Machines Corporation, better known as IBM, was changing not just its product line but its entire business model. The technology giant had reached the point where it was selling as much software and services as computers. The problem was that its supply chain had been designed to support local and regional computer sales and delivery. That fragmented approach, moreover, prevented IBM from capitalizing on one of its greatest strengths: the ability to leverage its purchasing power with vendors around the world. What "Big Blue" needed was to restructure its supply chain as a unified, global organization.
But that would require changing more than just the way IBM delivered products and materials. "We had to reinvent the supply chain as a system that moves people and insights and results and motivation," says Timothy E. Carroll, vice president of supply chain operations for IBM's Integrated Supply Chain. That mission set the company on a journey of self-improvement that continues to this day.
Building an integrated organization
Based in Armonk, N.Y., IBM was founded a little more than a century ago, in 1911. The giant company earned more than US $106 billion in worldwide revenue from hardware, software, and services in 2011. Its supply chain management organization works out of 360 locations in 64 countries, tracking more than 1.5 million assets for both IBM and its clients. The organization also deals with about 23,000 suppliers in nearly 100 countries.
IBM's supply chain operation oversees two critical processes for the corporation. The first is the order-to-cash cycle. That process, Carroll says, starts when a customer is ready to do business with IBM. It continues with the placement and then the execution of the order, including manufacturing and delivery. The cycle also encompasses billing and invoicing, accounts receivable, and post-sales support.
The second process is called "procure-to-pay," which encompasses purchasing and payment of suppliers. The procure-to-pay systems enable the integration of the purchasing department with the accounts payable department. In fact, these systems are designed to provide IBM with control and visibility over the entire lifecycle of a transaction—from the way an item is ordered to the manner in which the final invoice is processed. "It's everything that we do with external suppliers," Carroll says. "Our chief procurement officer and his organization have full responsibility for all purchasing on behalf of IBM, whether it's production, administrative, travel, you name it."
Two decades ago, IBM's supply chain picture was very different. It had a supply chain structure suited to supporting regional product sales across 150 countries, with different business units handling sourcing, logistics, and delivery of orders. "We had local procurement, local cash collection, local unique processes, and many units had their own [information] systems," Carroll recalls.
IBM's move toward global delivery of software and services meant that a supply chain strategy focused on local or regional businesses was no longer viable. In 1993 the company began the process of reorganizing its many supply chain organizations into a single global entity. The first step was to transform its procurement and order fulfillment functions, including establishing standards for those activities for all business units in every country.
The following year, IBM established Global Sourcing Councils where procurement executives could exchange knowledge with their counterparts in other countries. These councils also allow professionals with deep sourcing expertise to work together to solve problems and coordinate with other functions. "Our [procurement] professionals worldwide work hand-in-hand with product development in design, manufacture, and delivery of products that not only meet governmental regulations, but also meet voluntary objectives set by IBM, such as lower power consumption," Carroll explains.
Building on those earlier unification initiatives, by 2002 the company was able to formally establish a single, global supply chain organization. "We extracted anything [supply chain-related] that was in a line of business or in other functional entities across IBM and consolidated them into one integrated organization," Carroll says.
The global integration of IBM's supply chain serves as the foundation for two principles, or axes, underpinning the company's service philosophy. The first is what Carroll terms the "pillars of strength." The supply chain organization, he says, provides strength and stability to the company because there are uniform practices at its centers for procurement, manufacturing, and order fulfillment around the globe. For example, all fulfillment centers, regardless of location, follow a standard procedure for taking orders or handling cash collection. "The driving force is to 'do it once, consistently' around the globe," he observes.
Process standardization also allows IBM experts located anywhere in the world to support customers wherever the company does business—at any hour of the day or night. For example, a client in Europe that discovers a need for a critical part late at night doesn't have to wait until normal business hours to place an order, but can instead contact a fulfillment center in another part of the world to process its request. "These centers are supporting 24/7 everything that takes place around the world," Carroll says.
The other axis, dubbed the "pillars of value," relates to effectiveness in serving customers. It refers to the fact that supply chain professionals, located in a center anywhere in the world, can work on developing a specific solution to meet the needs of a particular industry, geography, or group of customers. By applying its expertise to solve a particular problem, IBM is able to increase customer or shareholder value.
Analysis and prevention
A decade after IBM achieved its objective of creating a single, integrated supply chain, the company continues to seek ways to improve on that model. Its latest supply chain initiative involves using predictive and prescriptive analytics to drive operational improvements. The tech giant has begun using a number of analytic software applications that sift through disparate types of information to find patterns or propose solutions to problems. IBM applies analytics to such areas as visibility, risk management, customer insight, cost containment, and sustainability. It also uses the software to model the impact of potential scenarios on its supplier network.
Carroll notes that analytics helped IBM respond in a timely and effective way when natural disasters threatened to disrupt the company's supply chain. For example, when a volcano in Iceland halted flights throughout much of Europe in April of 2010, the analytical software told IBM to focus its response on Asia rather than Europe. Carroll says he and his colleagues were "quizzical" at first about the software's analysis, which indicated that the critical link in IBM's supply chain was Hong Kong. It quickly became clear why. The analysis forecast that if IBM did not take steps to secure sufficient airlift once the volcanic eruption abated and flights resumed, it would encounter a bottleneck in Hong Kong when it tried to quickly move a backlog of components and products from Asian manufacturers to European customers. As a result of that prescriptive analysis, IBM booked space on commercial and charter aircraft from Hong Kong to Europe in plenty of time. "We didn't sit and watch what was going on with the disaster," Carroll says. "We prepared ourselves for what to do once the disaster lifted."
Now, in fact, a team of specialists, part of a dedicated research arm within IBM's supply chain organization, reviews various scenarios to prepare a response to a natural disaster or man-made crisis anywhere in the world. "We are constantly playing out scenarios through business analytics to determine if we have a way of quickly recovering from a situation," Carroll says.
The biggest challenge
As IBM continues to refine its supply chain strategy, analytical tools will play an even greater role. That's because Carroll believes that the biggest challenge facing his company is protecting the enterprise, its clients, and its shareholders from the unknown. "Most supply chain chiefs don't worry about what they know," he says. "They worry about what they don't know."
Predictive tools will enable IBM to foresee problems and take pre-emptive actions to prevent supply chain interruptions anywhere in the world. Its global, integrated supply chain organization will ensure that those actions are carried out quickly, efficiently, and consistently, no matter where or when they're needed.
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."