How are rapidly changing fulfillment requirements affecting warehouse operations? According to a recent survey, they're triggering widespread changes in everything from facility footprints to long-standing value-chain partnerships.
If you’ve been involved in order fulfillment for a decade or more, there’s a good chance you’ve seen a wholesale change in your facility’s picking patterns. Over the last 15 years, many DCs—particularly in the retail sector—have found themselves picking far fewer pallets or cases and a lot more individual items or pieces.
As for what’s driving this trend, a big part of the answer is e-commerce and the consequent rise in consumer-direct shipping. And the growth of e-commerce shows no sign of slowing. Prior research by ARC Advisory Group and our sister publication DC Velocity showed that companies expect an average of 40 percent growth in online sales over the next five years. Meanwhile, Amazon, the 800-pound gorilla in the market, has achieved annual North American growth of over 20 percent in each of the last five years.
With this substantial growth comes rapid change and fierce competition, stimulating widespread changes to warehouses and fulfillment operations. To be precise, the heightened customer expectations and industry competition are forcing managers to rethink fulfillment processes, technology needs, operational priorities, warehouse footprints, and even the roles of long-standing value-chain partnerships.
But what is the market profile of today’s operations? In what ways are the demands on warehouses changing? Perhaps more importantly, what are practitioners doing today and what are their plans to meet future demand and remain competitive?
To develop a better understanding of the fulfillment environment, ARC Advisory Group and DC Velocity teamed up to conduct a survey of practitioners, asking about facilities, market pressures, operations, and investment priorities. We included a time-phase element to obtain insight into the likely progression from past to present to future. Many of our findings are likely to confirm your current assumptions, while others may surprise you.
DC FOOTPRINT EXPANSION
Although CBRE and other real estate firms publish regular reports on trends in industrial real estate, including warehouse space, data on warehouse types coupled with fulfillment operation data is hard to find. So we decided to include a question on facility types in our study. What we learned was that on average, respondents’ facility footprints are almost half bulk warehousing (facilities with more than 100,000 square feet of space), while a quarter consists of smaller warehouses, followed by cross-docking operations and refrigerated facilities.
When asked to look forward five years, respondents identified bulk warehousing and cross-docking as the types of facilities they most expected to become more prevalent. One consumer-goods company respondent noted that it was expanding the footprint of existing facilities to support growth. We believe this to be a common and cost-effective means of increasing capacity. Meanwhile, a third-party logistics service provider (3PL) reported a planned expansion of bulk and cross-docking facilities to meet the anticipated needs of its clients.
Not surprisingly, when asked about the reasons behind their planned facility expansions, respondents most frequently cited expected increases in throughput and storage capacity needs. Interestingly, an increase in order complexity was the next most common response, followed by a change in outbound load profile. These results point to the current evolution of order profiles driven by e-commerce growth and related factors such as the average retailer’s proliferation in SKUs (stock-keeping units). One mechanical parts distributor noted that its business is moving away from wholesale in favor of retail sales. This is a great example of disintermediation in the supply chain, as consumers increasingly opt to order online rather than visit a retail store.
MARKET PRESSURES AND FULFILLMENT PROFILES
Every order would be the perfect order in an ideal world. But in reality, practitioners must set priorities and deal with tradeoffs. When respondents were asked about fulfillment priorities, "fulfillment accuracy" unsurprisingly topped the list. However, respondents believe that "fulfillment responsiveness" is the capability whose importance has increased the most over the last five years.
Also worth noting, respondents believe that "fulfillment adaptability" (defined as the ability to handle a wide range of order profiles) has risen in importance more than "fulfillment throughput" has. This supports the view that overall order variability has increased, making adaptability more important. And this trend is expected to continue, as fulfillment adaptability and fulfillment responsiveness are the capabilities most expected to grow in importance over the next five years.
Respondents’ comments support the view that pressures from e-commerce are largely responsible for this shift. For example, a respondent from an office supply wholesaler noted that it had seen an increase in its e-commerce direct-to-consumer shipments. Such a transition requires greater responsiveness due to the change in order profiles and customer expectations. Similarly, a respondent from a fashion accessories brand mentioned that it is becoming more nimble and adaptable to gear its operations more toward direct-to-customer fulfillment than it had in the past.
FULFILLMENT PATHS AND PICKING UNITS: FROM HERE TO WHERE?
There are a number of fulfillment paths that warehouses can support: traditional store replenishment, DC replenishment, drop shipping, and direct-to-consumer shipping. We asked respondents about the degree to which their organizations supported these various fulfillment processes. Replenishment of downstream DCs and replenishment of retail stores are currently the most prevalent fulfillment paths. However, once again, our inquiry into anticipated change painted a picture that differs from the status quo.
When asked how they expect various fulfillment processes to change over the next three years, respondents identified direct-to-consumer shipping and drop shipping (shipping goods directly from the manufacturer) as the practices that would see the biggest growth. The anticipated growth in drop shipping suggests that respondents expect to see further decoupling of customer-facing and fulfillment processes. I consider this to be one of the most interesting reconfigurations of value-chain partnerships. For one thing, it indicates that e-commerce and the omnichannel paradigm are not only affecting retailers, but also their manufacturing and wholesale partners. As retailers are pressed on margins, many are refocusing on the customer experience and unloading the inventory carrying costs and fulfillment processes onto their upstream partners.
PICK, PACK, REPEAT
Order size and scale generally decrease as products move through the supply chain toward the final consumer. Therefore, the balance among material handling units (pallet, case, piece) handled within a warehouse is likely to change along with the adjustments in fulfillment channels. We asked respondents how they foresee picking unit types changing over the next three years. (We chose "picking" because it is typically the most labor-intensive activity in a warehouse.)
Piece (eaches) is the unit type that most said would increase and also the type that most said would increase extensively. Over half the respondents also said they expected to see an increase in case picking. In contrast, less than half of the survey respondents predicted an increase in pallet retrieval.
The responses about picking unit expectations support the view that picking units will continue to move toward eaches as warehouses fulfill more and more e-commerce orders and upstream partners support downstream partners with greater SKU variability along with smaller volumes of the same SKU.
PAIN POINTS AND TECHNOLOGY INVESTMENT
The shift toward processing higher volumes of small multiline-item orders is raising fulfillment costs within the warehouse. At the same time, greater levels of order variability are injecting inefficiencies into the fulfillment process. Typically, when faced with the need to improve processes and boost efficiency, logistics practitioners turn to technology.
We asked respondents about the likelihood of deploying technology in the next three years to improve various operational processes (process pain points). Shipping, goods retrieval/order picking, and put-away are the processes most frequently cited as expected targets for technology investment over the next three years.
In their supporting comments, respondents also expressed a desire to pick single and multi-unit orders by zone within the same wave, as well as a need for flexible picking solutions that can be deployed at scale. When they were asked the same question about technology investment for warehouse planning process improvements, they most frequently cited parcel shipping, general inventory management, and slotting optimization as likely areas for investment support.
We expected parcel shipping to be a focus area due to results from other ARC and third-party research showing that the e-commerce boom had led to a substantial increase in parcel shipping. However, the high percentage of practitioners that plan to invest in technology to support reslotting and facility layout changes was unexpected. Nonetheless, it confirms the view that order profiles are evolving quickly and warehouse management is diligently searching for ways to boost efficiency.
Although logistics executives would like to have a blank check and with it, the ability to select "all of the above" when it comes to investments to improve upon their operations, businesses live in a world of competing priorities, where oftentimes one investment must be chosen at the expense of another. Given that reality, we asked respondents to select their top warehouse technology investment priorities over the next three years.
Interestingly, but not surprisingly, when it came to software, warehouse labor management systems were the top choice. E-commerce fulfillment is labor intensive and costly, as these orders are generally small, with items often stored in different parts of the facility, and that require additional steps such as packaging and labeling.
WMS was the second most frequently selected investment choice, which is unsurprising given its role as the backbone of warehouse operations.
When it came to warehouse automation options, conveyors/sortation was the most popular investment choice, followed by pick to light/put to light. The responses for conveyors likely reflect the high level of conveyor/sortation use in North America, as compared to Europe.
Meanwhile, we believe that the interest in pick/put to light reflects a desire to gain efficiencies in e-commerce fulfillment operations. Also, the results support the view that autonomous mobile robotics (AMR) in the warehouse has moved from the concept phase to practical consideration, as 15 percent of respondents selected AMR as an investment priority for the next three years.
KEY TAKEAWAYS
Customer expectations and competition from e-commerce are driving widespread changes to warehousing and distribution operations. Direct-to-consumer growth is not only affecting retailers, but also manufacturers, wholesalers, and 3PLs. Warehouses and warehouse fulfillment operations are increasingly playing a greater role in commerce due to disintermediation and a reduction in retail sales through stores.
On top of that, the relationship between retailers and upstream partners is changing, as wholesalers have increased their presence in retail and retailers have pushed direct-to-consumer responsibilities back onto their suppliers. As a result, warehouse footprints are expanding, responsiveness and adaptability have become more important, parcel shipping has grown, and labor efficiency remains as important as ever.
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."