Robotics has the potential to solve many of the challenges that modern distribution centers face in today’s multifaceted retail sector. But what do you need to consider before implementing them? How can you realize the full potential of robots while avoiding potential pitfalls?
The allure of robotics in the materials handling arena needs no introduction. At modern retail distribution centers (DCs), where operations often run 24 hours a day, 7 days a week, 365 days a year, robots are increasingly being added to meet ever-increasing throughput demand. According to the Association for Advancing Automation (A3), North American companies bought 12,305 robots in the second quarter of 2022—a 25% increase over the second quarter of 2021 and a 6% increase over the first quarter of 2022.While the automotive industry has historically been the biggest adopter of robotics, recent years have seen a surge in implementations focused on automating warehouse logistics, according to A3.
In reality, the use of robots in retail DCs is not new. Many warehouses, for example, have used palletizing robots effectively for years to move heavy cases and position them in the exact same way over and over—which is an incredibly difficult task for people. And that’s just one example. For facilities that already depend on advanced automation—for example integrated, shuttle-based automated storage and retrieval systems (AS/RS); autonomous fork trucks; and high-speed conveyors within integrated goods-to-picker systems—the application of robots feels like a natural progression. Robots are just the next logical step in using automation to further address and solve operational challenges.
With these opportunities, however, come questions. What do those who manage DC operations need to keep in mind when implementing robots, and how should they approach the innovations in robotics that are now viable options for many warehouse operations? To start, DC operators should keep in mind the following six important considerations.
1. What is the difference between an integrated robotic solution and robotic point solution?
There are two main types of robotic solutions. Integrated robotic solutions are closely connected to existing automated systems, such as AS/RS, via software. Robotic point solutions work independently of those same systems. Integrated robotic solutions and robotic point solutions are suited for very different applications.
In most retail DCs that have a high level of throughput made possible by already existing automated systems, robotic point solutions have less applicability. That’s because these point solutions are harder to integrate into existing processes and workflows. However, robotic point solutions can be valuable for specific tasks, particularly in facilities that still rely on more manual operations. As a result, the common vision of robots/standalone machines that do everything—the very kinds of robots that dominate the headlines and often generate the greatest excitement outside of DCs—are typically of less utility in materials handling.
Some futurists may argue with this contention or note that fully robotic warehouses in which teams of robots move all materials are possible, but the reality today is different. Robotic point solutions can be used in discreet applications, such as stacking boxes that are always the same size and weight at a set frequency, with great effectiveness. For this reason, robotic point solutions are popular in environments like manufacturing where there is significant consistency—for example welding the same identical parts together repeatedly thousands of times. For now, however, robots are not able to address the innumerable ad hoc tasks that arise in distribution centers in the standalone fashion required for them to operate entire facilities on their own. In most retail DCs, the flow of products—the products being moved, picked, packaged, and shipped—is highly variable. Due to this, most retail robotics applications are and will remain integrated solutions. For example, AS/RS—which themselves can be considered robotic—are increasingly being paired with robotic pickers with exceptional success, both in increasing throughput and maintaining order accuracy.
Such systems are tightly integrated not only with one another, but to the DC’s core network that connects everything from when orders are received to when they are picked, packaged, delivered, and automatically restocked. In this way, the line between automation and robotics is blurring. Notably, these tightly integrated systems are possible because of recent developments in two key areas.
2.How have recent innovations made robotics more applicable to DCs?
Retail DCs historically faced issues applying robots because an order might include items of dramatically different shapes, sizes, or materials. Up until recently, most robots simply could not address such highly variable, inconsistent situations—let alone with the speed and efficiency of humans. Two advancements changed this dynamic and now play a key role in addressing the increased throughput demands that often prompt warehouses to deploy robots: improvements in vision recognition systems—the cameras and sensors used to help the robot “see”—and an increase in the array of end effectors, the “hands” that enable robots to manipulate or pick items.
With advanced vision recognition, robotic pickers now can see exactly which item they are tasked with picking—even shaking the tote or carton to make them fully visible or to determine which end effector to use.
Recent innovations in end effectors are no less noteworthy. There are now many variations of end effectors, from mechanical grippers to those that use compressed air for suction. As a result, a single picking robot can be used for a wider range of applications—even holding spare end effectors that it can swap in and out as needed to process different kinds of products. The applications of this kind of technology are virtually unlimited. For example, one robot can use an end effector with suction to move soft-sided packages, such as the bags often used for food items, and then quickly switch to a mechanical gripper for heavier, hard-sided items. Furthermore, now that robotic pickers have so many end effectors available to them, they can also be used to process larger and heavier items simply by increasing the scale of the robot itself.
3. What will be your throughput needs five years from now?
Many DCs struggle to determine how much capacity and throughput to address with robots, and whether they should look at peak periods for volume or at their average throughout. The more important question, however, is, “What will your throughput look like in five years?”
Yes, robots can be used as a short-term, or even a stopgap, solution to address very specific needs in the retail warehouse. Some organizations are even beginning to offer robots-as-a-service (RaaS), a subscription-based model that lets DCs lease robots during periods of increased volume or demand rather than buying them. It’s a viable option for some organizations that ensures that robots are only paid for when they are productively working.
However, a full robotic deployment, one in which robots are integrated into the core warehouse system and structure, is a much more advanced undertaking. To ensure that it is approached correctly, retailers should audit their operation to determine what throughput looks like as well as which products comprise most of it and which might challenge robotic systems.
Integrated systems often take two or three years to deploy from assessment to design, construction, testing, and deployment, so it is also imperative to look at least five years ahead to ensure that the desired return on investment is achieved. This does not mean that robotic systems should be configured to address periods of high throughput at all times, but rather that they are capable of being sped up to handle additional capacity on a seasonal basis or as needed.
4. What role should DC employees play in a robotics implementation?
Robotic systems have the potential to dramatically enrich the lives of DC employees, but those who run retail warehouses must actively include these employees in the selection process. Employees who currently work in roles shaped by manual, highly repetitive tasks have the most to gain from a robotics implementation. These individuals can transition into the highly skilled positions needed to manage, maintain, and repair robots, and their experience in roles such as picking can be exceptionally valuable when designing and refining robotic systems. For example, skilled pickers often have ideas on how and where existing picking processes can be streamlined and which kinds of effectors should be considered. Warehouse employees in general are also very aware of the many processes that would benefit from robotic automation. This information is of exceptional value when designing the layout of any distribution center.
Directors of retail distribution centers should involve these individuals in the planning process. Most importantly, it is imperative that they view robotic systems as an investment that complements warehouse staff and as a strategy that is proven to decrease employee churn. It is equally important to map out a career path for those employees whose roles will be automated or addressed by robots. Investing in and upskilling these employees is something that every organization investing in robots should examine.
5. How will you handle maintenance and repairs?
Robotic warehouse solutions are complex, and a breakdown can have a dramatic impact on operations. Once the decision to automate a DC with robotic systems is made, it is crucial to establish a strong maintenance and repair plan. This includes ensuring that adequate service level agreements are established and that the retailer has access to spare parts and experts.
One highly effective strategy for retailers is to build and hire their DC robotics team a full six months before the facility becomes operational. This allows the team to work side by side with the vendor in the testing and adjustment of all systems, simultaneously gaining familiarity with often expansive facilities.
Existing warehouse employees who are intent on learning about robotics and want to pursue a career in the field are ideal candidates for these assignments. Providing them with the opportunity to work directly with the vendor enables them to extract insights that have accumulated from many years of robotics work. Such opportunities should not be missed.
6. What tasks are robots still not well-suited for?
Enthusiasm for robotics is warranted. However, it is important for retailers to realistically appraise the capabilities robots bring to their facilities as well as which tasks robots are not yet ready to do at the velocity and scale required.
Two common tasks associated with the holiday shopping season offer a great example. While robots are proven in fulfillment operations, the reverse logistics involved during the returns season is problematic. While robots can scan returned items for volume and weight to determine if they are complete, today’s vision recognition systems are not ready for prime time use in the returns market.
For example, a robot can determine if both pairs of shoes from an order were returned and that they are the right kind, but it cannot determine if those same shoes were worn and can be sold as new. In the same way, a robot can determine if a returned television is the right model, but it cannot determine if it was dropped or damaged. People must still provide that critical oversight.
Vendors are working to quickly develop innovations to solve needs just like this. In the meantime, however, it’s important to leverage robots where they have the most potential for a return on investment.
Be thoughtful and realistic
It is also important to realize that robots are not suitable for every operation. Ultimately, what is important is not how many robots you used to address a problem but whether or not the problem was actually solved. Innovation for innovation’s sake just isn’t feasible for many brands, and not all organizations have the resources required to deploy large-scale robotic systems.
All retailers are, however, in a position to streamline their fulfillment operations so that they process orders more efficiently and accurately, retain valuable employees, increase the return on investment of their DCs, and address future periods when throughput needs are higher. Before they implement any automation, companies should make sure that it is based on best practices, done with reputable and experienced partners, and designed to address their own unique needs.
By keeping the above considerations in mind, those who oversee the operation of retail DCs can make sure that if they do move forward with a robotics strategy, they do so in a thoughtful and realistic way.
Those in our profession will likely look back on the present era as one shaped by unprecedented change and significant steps forward. Only time will tell if this is the beginning of the golden age of robotics or another chapter in the longstanding evolution of automation in retail DCs. What is certain is that those who embrace robotics thoughtfully, realistically, and methodically will see success in their fulfillment operations.
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."