Consultant, academic, and author John Gattorna has been encouraging companies to rethink how they design their supply chains so that they put the human at the center.
When supply chain consultant and thought leader John Gattorna received the Council of Supply Chain Management Professional's 2018 Distinguished Service Award, he was recognized for his work on "dynamic alignment" in the supply chain. Dynamic alignment involves segmenting your customers and matching the supply chain to those customer segments.
While there have been countless supply chain consultants, analysts, and academics who have provided models and frameworks for supply chain segmentation, Gattorna's work differs in one key way: It places the human at the center of all supply chain or value network design efforts. As Gattorna writes, "People and their behaviors inside and outside the enterprise are at the heart of supply chains."
Gattorna's work through his analysis firm Gattorna Alignment has an almost anthropologist or sociologist flair to it. He and his colleagues help companies diagnose their customers' behaviors and segment them according to those behaviors. They then analyze whether the culture within the company complements their customers' behaviors and values. Finally, they help the company change the internal culture of their supply chains to better match those customer behaviors.
Gattorna has detailed this work in his books Living Supply Chains and Dynamic Supply Chains. Now he is set to release a third book on the subject with his colleague Deborah Ellis: Transforming Supply Chains:Reinvent your enterprise from the "outside-in" to be more flexible and market responsive. Gattorna took some time out at the CSCMP EDGE Annual Conference to talk to CSCMP's Supply Chain Quarterly Executive Editor Susan Lacefield about the new book. (See a video of  the interview, here.)
NAME: John Gattorna TITLE: Executive Chairman of Gattorna Alignment; Adjunct Professor at University of Technology Sydney Business School in Sydney, Australia EDUCATION: Ph.D. in logistics, materials, and supply chain management from Cranfield University EXPERIENCE: Established and led Accenture's supply chain practice in Australia-New Zealand/Southern Asia; co-authored several books including Living Supply Chains(2006) and Dynamic Supply Chains(2009); one of the original developers of the "alignment" concept; founded Gattorna Alignment, a Sydney, Australia-based firm specializing in supply chain thought leadership, which has worked with companies such as Dell, Ralph Lauren, Unilever, Teys Australia, Schneider Electric, and DHL RECOGNITIONS: CSCMP's 2018 Distinguished Service Award
Q: You have a new book coming out in May on transforming the supply chain. Can you give us a brief explanation of what the book is about, and how supply chains need to transform today?
Well it's interesting, [at Gattorna Alignment,] we have been doing research around the world for the last year, running thought leadership retreats, and talking to companies, and what I can say is, just about every organization that speaks to us is in some stage of transformation. Whether they are at the start of the journey or they are like [the energy management company] Schneider Electric, which is five or six years into it, everyone is thinking about transformation.
The reason they are thinking about it is because the world has changed so much in the last few years. The whole digitization question has just come on so quickly. And now it's no longer talk, everyone is trying to figure out: How do we digitize our supply chains end to end? And what does that mean? And how are we going to transform our organizations to cope with the sort of volatility that's been coming at us rather rapidly?
And of course, there's also all the disruptive things around customer's expectations. These are all part of the reason why companies are saying, "We've really got to accelerate the way we transform our business." And I think that's the important thing. You can't [transform your business] slowly, you've got to do it quickly. If you do it too slowly, it encourages the forces of darkness inside your business—the cultural drag—to slow down and resist change, whereas if you do it quickly you take them by surprise.
Q: Can you tell us a little bit more about these "forces of darkness inside the business"?
Look, there's been lots written about competitive analysis and what we should do to protect ourselves from our competitors. In my view, competitors are not the real threat to our business. The real threats to our business come from inside because competitors generally don't know a lot about our business. The problem is the people inside our business who sit in meetings, nod their heads, and say, "Yeah, yeah, yeah," but really deep down they are saying, "No, no, no." This sort of insidious resistance to change is the real threat.
We've found in our research that between 40 to 60 percent of what companies write down in their business plans as intended strategies never get delivered. And it's not because of competitors' action, it's because people inside the business are forming pockets of resistance. So, what we have to do more and more now as part of a successful transformation is address the sorts of people we need in the business. How are we going to reorganize? How are we going to create pockets of subcultures—for example, a subculture of cost cutting, a subculture of speed, a subculture of innovation? You need to develop these subcultures inside your business to drive these different strategies into the marketplace.
Q: What can companies do to foster these subcultures?
First of all, you've got to figure out what sort of [subculture] situation you've got. Ten years ago, you couldn't do it, but now you can. You can actually x-ray an organization. There are techniques to "map" the cultures inside the business—because there's not one culture, there's normally pockets of culture. So, you can do an "as-is" [map] and then the "to-be" [map] of where you want to go. The "to-be" should be based on the subculture that you see in the marketplace for a particular customer segment. Because you are dealing with human beings on both sides of the fence.
Our contributions are that we've found a common metric and methodologies to describe customer behavior or customer subcultures. And once you understand point A [what the subculture is now in the company] and point B [what you want the subculture to be], you can work out a path to change.
There are all sorts of levers that you pull to create change. A big one is clearly organizational design. I think we've got to move away from this vertical structure that we've got. We've got to think more about putting together teams or clusters focused on different [customer] segments and populate those teams with people who have the subcultures we need. So that the cost-driven people can look after the lean supply chains, and the agile ones can look after the high-speed supply chains, and so on.
And then, you need different processes for the different types of supply chains. You need different combinations of technology. The same with training and development. The sort of training and development you'd do for a lean supply chain team, where you're looking at analytics and things like that, are different from the training and development you might do for a project-based supply chain.
All of these things are well known, it's more about developing recipes. How do you mix and match these variables? It's about really looking at the marketplace and trying to use it as the frame of reference to come back inside the business and start more precisely orientating our fixed and limited resources in a much more clever way.
Q: This seems to tie into the subtitle of your upcoming book, "Reinvent your enterprise from the outside-in"?
Yes, I just began to touch upon that—99.9 percent of supply chains that exist today grew up out of the 1940s, '50s, and '60s. Their major thrust was to just keep up with growth because there was a lot of growth around. Then in the '70s and '80s, we started to run into volatility, whether it be coming from the oil crisis in '73, terrorism, or technological change. What's become clear is that we can no longer design our supply chains from the "inside-out," where we just take a bit of a guess at what we think customers are saying and thinking, and then develop a particular configuration around that. Instead you've got to get on the outside and look back at yourself. It's almost like levitating outside the body. Look at the world and yourself through the eyes of the customer and try and understand what their expectations are. Not guessing but actually having a direct link and really getting inside the customer's head.
There are very few companies that have been able to do this well. [The computer company] Dell did it very early on when they sold computers directly to consumers. Those companies that have had more or less direct contact with consumers automatically get it. But many, many industrial companies don't. They deal with distributors, agents, subsidiaries, and intermediaries, and very often they don't understand as well as they should what the end user wants.
Once you've designed from the outside in, it allows you to retrofit or reengineer backwards in your business and make precise decisions about where to put your resources. You take the guesswork out, and you get rid of the over- and under-servicing that's been going on for about half a century. We don't want to be giving too much service to customers who don't appreciate it. On the other hand, we've got loyal customers out there who don't make much noise. We don't want to underservice them either. It's a matter of switching those resources around but having a frame of reference to guide that, that's where the "outside-in" comes from. That's where some clever segmentation of the marketplace using methodologies different than what most companies have used for years.
[One of those methodologies involves] getting away from just looking at companies as what they are institutionally, for example being a traditional retailer. What we're saying is within an institution, say retailing, you can have six different companies that have come from different backgrounds and histories and different leadership styles that will have slightly different expectations of their supplier. The fact that they are all retailers and they are all institutionally the same doesn't mean to say they have the same expectation, and that's the sort of nuance you've got to work with.
Q: Do you have any concrete tips or advice for companies on how they can start this process?
I think the starting process has to be, go out and do some conjoint analysis, [a survey-based technique used in market research that helps determine how people value different attributes]. Get your marketing people to help you do a trade-off analysis. Try to segment your customers using behavioral techniques and then work your way back inside the business.
It's important to do that [analysis] because otherwise it will just be a matter of your opinion versus someone else's. And you might lose that battle. Whereas if you can get in and document and map the structure of your market, and then you take it back inside, people cannot argue with that. You can say, "Well that's what it is, whether you like it or not. That's the structure of our market. Now, are you going to work with me to start the whole process of transforming our business?"
If you don't do something like that, you can argue interminably inside the business. It can turn into my opinion versus your opinion, and you go around in circles. And that's the worst possible thing because the name of the game today is you've got to make faster decisions. If you can do that and get that sort of momentum, you can pretty much out-decide and out-market any of your competition.
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."