Of all the supply chain technologies on the market today, none arguably is as hot as robotics. Demand for and investment in robotics reach new heights every day. According to the Association for Advancing Automation, orders for workplace robots in the United States were up 40% year-over-year in the first quarter of 2022.”1
Gartner’s research—such as our annual “Supply Chain Technology User Wants and Needs Survey” (UWAN)—supports this finding, and we expect this trend to continue at this pace for at least the next three years.
For 15 years, the Gartner UWAN surveyhas explored various digital and technology topics from a business user’s perspective. Research for this year’s study was conducted in Q4 2021 and had around 350 respondents that spanned geographies, industries, and company sizes.
One question asked in the study was, “Does your organization currently utilize or plan to use cyber-physical automation2 in your manufacturing or warehouse operations?” An astounding 96% of respondents said that they either have automation or plan to use it in the future. While we thought this number would be high, we didn’t expect this level of interest in automation given the respondents’ diversity in terms of geographical location and company size.
This high level of interest was also seen in a separate study focused on robotic buying trends that we conducted with Peerless Research Group on behalf of Modern Materials Handling, Logistics Management, and Supply Chain Management Review. Fifty-two percent of survey respondents said they currently use or plan to use robots.3
In a follow-up question for our UWAN survey, respondents were asked to choose between the following two options for their primary motivation for investing in automation: reducing labor costs or addressing labor–availability issues. Again, we were surprised at the high percentage (66%) of companies that said that labor availability was their primary reason for investing in automation. In Q4 2019, the numbers were reversed, with 53% of respondents saying that labor cost reduction was their primary motivation.
The latest survey findings are affirmed by over a thousand conversations with Gartner clients during 2021 and 2022. Companies say they are struggling to find and keep people even after increasing hourly pay dramatically over the last 18 months. For example, one Latin America–based Gartner client said even though their hourly labor rates are low, they are considering automation because they have such a high annual workforce turnover rate—upwards of 300%.
Exponential growth ahead
For those companies that have already implemented robotics, we wanted to explore their future investment plans. First, we wanted to know if companies planned to increase the size of their existing robotic fleet, and 86% of respondents said yes, they do. Second, we wanted to know if companies were exploring new robotics use cases, and an astonishing 92% of companies said they are exploring new use cases.
One of our customers is a good example of this phenomenon. The customer originally implemented autonomous mobile robots (AMRs) for basic unit-load transport. Looking at their operations, the customer then saw a possible opportunity to use AMRs to replace humans hauling dunnage. They did a simple proof of concept and found that they could repurpose some of their AMRs to take over what was seen as an unproductive use of their valuable and constrained human workforce.
Combined, we believe these trends (see Figure 1) will drive exponential growth in what Gartner refers to as “intralogistics smart robotics” over the next five years. An intralogistics smart robot (ISR) is “the class of smart robots that orchestrate and perform work within the four wallsof a site and can be mobile or stationary, operating autonomously or collaboratively with humans or other robots.” We believe this growth will manifest in four ways:
[Figure 1] Gartner research shows high interest in intralogistics robots Enlarge this image
1. Net new customer growth: As noted above, 96% of companies in our UWAN study are investing or plan to invest in automation. Additionally, nearly 30% of respondents to the robotics study said they plan to invest in robotics for the first time. This is also consistent with the demand we see from Gartner customer inquiries where a very high number of customers are actively looking at or piloting robots for the first time.
2. Robot fleet expansion: The second wave of growth will come from customers expanding their fleets of robots. As mentioned above, over 80% of companies that already have invested in robots plan to expand their fleets. For example, one Gartner customer said it started with a limited deployment of about 10 robots, but now plans to grow its fleet to 1,000 robots over the next 18 to 24 months. This expansion could come in two steps. First, companies might just increase the number of robots needed to perform certain tasks within a single facility. Larger companies will then expand their use of robots across facilities. We see this with several third-party logistics providers (3PLs) that have robust processes for socializing robots across their organization. They start in one site then look to deploy the same robotic solution across multiple sites over time with similar needs.
3. Expanding robotics use cases: As companies mature their use of robotics, they will continue to explore new use cases where robotics can add value. I was on a panel discussing robotics, and one panel member was from a very well-known 3PL. He said the company was working on hundreds of robotics initiatives across its global operations. While use–case expansion could be with a single key supplier, it’s more likely that users will branch out across other types of robots and vendors. Gartner believes that within 10 years the majority of medium to large companies will have heterogenous fleets of robots doing different things. A company might have one type of robot for collaborative picking, another type for heavy payload transport, and maybe another for single-item picking. For example, we have clients that have deployed goods-to-person systems—such as AutoStore or Exotec—and are now exploring “goods-to-robots” where instead of a human doing the picking, a robot picks individual items from a tote leveraging vendors like Righthand Robotics or Berkshire Grey.
4. Recurring revenue growth. Finally, most robotics solutions have a recurring revenue component that typically scales based on the number of robots that a company uses. This recurring revenue stream generally includes the annual cost of the fleet management software plus support, maintenance, and upgrades for the software, as well as robot hardware maintenance and support. Business growth will also be fueled by the compounding effects of this recurring annual revenue stream.
Combined, these factors make robotics a very strong growth market for the next decade. This growth will be good for the robot providers, but it will also be good for robot buyers. Buyers have the need and desire for automation, and their options expand as innovation continues. However, in the end, the most important factor is that our research finds that robotic automation is good for buyers because, compared to other types of automation, it typically has a faster time to value, a quicker return on investment (ROI), shorter payback times, and offers more flexibility, scalability, and lower risk.
2. According to the National Science Foundation, cyber-physical systems or automation involves “integrating sensing, computation, control, and networking into physical objects and infrastructure, connecting them to the Internet and to each other.”
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."