Shekar Natarajan not only foresees the future of supply chain management, he is helping to shape it by finding new and revolutionary ways to apply technology to solve business challenges.
Contributing Editor Toby Gooley is a freelance writer and editor specializing in supply chain, logistics, material handling, and international trade. She previously was Editor at CSCMP's Supply Chain Quarterly. and Senior Editor of SCQ's sister publication, DC VELOCITY. Prior to joining AGiLE Business Media in 2007, she spent 20 years at Logistics Management magazine as Managing Editor and Senior Editor covering international trade and transportation. Prior to that she was an export traffic manager for 10 years. She holds a B.A. in Asian Studies from Cornell University.
If, in the future, a drone is taking inventory in your warehouse, autonomous robots are delivering groceries to your customers' kitchens, or you're delivering products to consumers before they even realize they need them, you might be taking advantage of innovations conceived and developed by Chandrashekar (Shekar) Natarajan and the teams of forward-thinking supply chain and engineering professionals he has led over the past 15 years.
Currently, Natarajan is focusing on finding new ways to apply technology to solve business challenges and revolutionize how supply chains serve consumers. He recently spoke with CSCMP's Supply Chain Quarterly about the future of supply chain technology, and how supply chain professionals can prepare themselves and their companies to succeed in a constantly changing world.
NAME: Chandrashekar (Shekar) Natarajan TITLE: Business scientist and operations executive EDUCATION: Bachelor of Science in mechanical engineering, Jawaharlal Nehru Technological University; Master of Science in industrial engineering, Georgia Institute of Technology; executive certificate, Massachusetts Institute of Technology (MIT) Center for Transportation and Logistics; Advanced Management degree, Harvard Business School EXPERIENCE: Strategic supply chain management positions at Coca-Cola Bottling Company, Alliance Rubber Company, PepsiCo, Anheuser Busch; and executive leadership roles at The Walt Disney Company, Walmart Inc., and Target Corporation RECOGNITIONS: CSCMP Supply Chain Innovation Award; DC Velocity Rainmaker; Global Supply Chain Review "Top 25 Supply Chain Executives"; Consumer Goods Technology top visionaries of the year; Institute of Industrial Engineers Medallion; Supply & Demand Chain Executive Next-generation Thought Leader; Logistics Insights Asia Thought Leader; Times Now television "Non-resident Indians of the Year" (Professional category).
You advocate encouraging "productivity of the mind" in supply chain organizations. What do you mean by that, and why is it important? Productivity of thinking is something you can actually measure as the ability to have situational awareness and react very quickly. People often address problems with mundane solutions if they don't have a structured way of thinking about them. If you have a framework for thinking about problems it drives you to consider both the obvious and the non-obvious. This should increase situational awareness—anticipating what will happen before it happens and pre-positioning responses ahead of time.
Businesses today are evolving rapidly. The primary axes of change include time, networks, networks of networks, relationships with our customers, and the use of data in real time. And all of these are changing asynchronously. To take advantage of these changes, navigate them, and deal with threats, the productivity of our thinking must increase dramatically. We need to incorporate and implement our people's ideas and realign ourselves very quickly.
One way to do that is to think through more than one solution to a problem. What was contextually right at one point in time may be completely wrong two years later. If you have "A to B" and "B to A" scenarios you will be better prepared for change. You will know how to respond because you have already thought through two opposite solutions for that scenario. When you have determined the right approach, you will have strategic options ready to execute. In this way you can accelerate organizational change.
Another is to have all employees see themselves as a potential provider of personalized service; when that happens, hyperlocal opportunities quickly emerge. For example, an employee might deliver a package for a customer on the way home; another might offer a painting service for a customer who is apprehensive about doing the painting.
When you were in the beverage industry, you were instrumental in improving product handling equipment and processes. Tell us about one solution that continues to have a significant impact. At Coca-Cola Bottling Company we developed the CooLift beverage-delivery system, which is now a standard throughout the industry. The specially designed carts and pallets make the job of moving beverages from truck to store much quicker, safer, and more efficient. We developed the solution by looking for a merchandising delivery system that reduced the risk of injury and could be used easily by anyone. We analyzed the whole supply chain as a system, deconstructed it, and identified where and how we could improve it.
When I was with PepsiCo, the same "system" approach led to a host of other innovations, including geo-based delivery, automation of the manufacturing-to-merchandising processes, building orders like Lego bricks so they could be merchandised in minutes versus hours, centralizing and automating routing and dispatching, implementing reputational integrity systems to manage bad actors, and virtual control towers to handle the order flow on an exception basis. In this way, every one of our cumbersome processes got a facelift. As a result, we were able to launch several billion-dollar brands and simplify the work of thousands of field associates. I am grateful to the teams that enabled this and the executives who inspired us to think this way.
Your name is on some 300 patents. What are some of the areas you've focused on? My purpose in filing patents has been to support and protect my employer's business with respect to the future of logistics and commerce. Some of the subject areas that emerged in the past few years include autonomous vehicles—air, ground, on the road, and in the home; the last 100 feet into a consumer's home and in the kitchen; cognitive commerce, where data collection and analysis allows me to know you so well that even before you need something I will get it to you, which leapfrogs search altogether; just-in-time replenishment to the home according to values, affinities, and preferences held in the cloud, which obviates the need for ordering or in-home inventory; and hyperspectral imaging, which gauges a food product's internal qualities, and blockchains to ensure food safety and freshness.
Some others include temperature control and Internet of Things (IoT) systems that enable virtual control towers; engaging customers with virtual reality and augmented reality; virtual malls and the monetization of virtual space; moving "digital duplex" conversations with inanimate objects that are coded with information from the point of purchase to engage the consumer at the point of consumption; personalized business-to-person products, services, and communications; emotive and psychological measurement systems that can adapt the selling process to each customer in real time; algorithms that power gamified virtual planning towers; and continuous dynamic reconfiguration of the supply chain so that it is always optimized.
All of these have an underlying systemic implication for the supply chain's architecture and for the dynamic response networks that need to be created to enable them.
How do you go about determining which technologies are important and where to apply them? The jobs that must be done in commerce and logistics don't fundamentally change. Customers will always want to buy clothes, and we will always have to complete a financial transaction and provide the goods, for instance. But evolving technologies can overcome resource constraints, provide step-change cost advantages, and give us new opportunities to delight the customer. So, I look at the jobs we need to do and map to them the relevant technologies to create a framework of opportunities. As an example, if a package of pretzels can "talk" digitally to the customer and engage in the process of cooking, suddenly the concept of food logistics and brand packaging looks very different. New value gets unlocked for customers and brand companies.
Here's another example: When they are choosing clothes, customers are regularly at the mercy of the sizes and colors that are already available. The technology exists that would allow a customer to choose the style, fabric, size, color, and other options for the garment to be made to order and shipped out overnight. Then the customer could have exactly what he or she wanted each time without the risk of the size or preferred color being out of stock.
Any predictions about what will be the hot areas for supply chain in the next 5 to 10 years? Yes, I think the following areas will be most important:
The Internet of Things will enable full visibility of the supply chain from factory to customer.
Blockchains will enable track and trace and will limit the influence of bad actors.
Logistics services will become available as Logistics as a Service (LaaS), where a third party provides platform-based turnkey solutions for end-to-end processes.
"Frenemy networks" will include competitors in a service offering.
Every supply chain job will change due to digitization, through such means as apps, advanced analytics, and cloud computing power.
"Networks of networks" will develop through the constant realignment of networks with new partners to enable value delivery.
We will see highly personalized business-to-individual (B2i) communications and commerce.
Robots and autonomous vehicles will play an increasingly significant role.
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Why is know-how about emerging sciences critical to businesses in general, and supply chain organizations in particular? How will the roles of supply chain professionals evolve? I firmly believe that a company must grow as fast as its market to survive in the long term. Since the rate of change in the markets is going up continuously, innovation and growth must be everyone's job, not just that of a select few.
Let me address this using an example. Today a transportation leader is rewarded for securing the right contractual rates, managing drivers for safety and compliance, and executing on time and within budget. In a world of autonomous vehicles, there is no driver to manage, and the job of the transport leader is to ensure and build the right algorithms, manage the integrity of assets, and ensure good customer interactions. Because so much must change, being ahead of it is critical.
My experience has made me a firm believer in the ability of logistics to drive revenue and create new business models. Logistics can drive customer intimacy, operational excellence, and product leadership. Autonomous vehicles, for instance, will improve efficiency, but there are numerous ways they can be a source of revenue. Those that carry passengers can be mobile kiosks, making sales to passengers. And while they are carrying passengers, the trunks can be carrying packages for delivery.
Supply chain leaders need to be alert to these opportunities and be able to capitalize upon them. To do that, they must think as businesspeople—more like a general manager and less like a transaction-focused logistics manager.
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."