Victoria Kickham started her career as a newspaper reporter in the Boston area before moving into B2B journalism. She has covered manufacturing, distribution and supply chain issues for a variety of publications in the industrial and electronics sectors, and now writes about everything from forklift batteries to omnichannel business trends for DC Velocity.
What’s the best way to address double-digit growth in a high-velocity distribution center (DC)? For many companies, an automated storage and retrieval system (AS/RS) is the answer because it can provide both the high-density storage and automated picking needed for high-volume operations—allowing them to get more orders out the door at a faster clip.
The fast-paced foodservice equipment and pharmaceutical industries offer pointed examples of just how big a difference an AS/RS can make when business accelerates. Illinois-based foodservice equipment replacement parts company Parts Town is on its third expansion with the AutoStore AS/RS solution, and India-based pharmaceutical company Aurobindo Pharma has expanded with a StorFast AS/RS at its New Jersey DC, for example. Leaders at both companies say their investments have paid off in space savings, enhanced throughput, and improved accuracy—which have helped set the stage for more growth ahead.
MULTIPHASED EXPANSION
Addison, Illinois-based Parts Town has been selling replacement parts to the commercial foodservice industry for 35 years. According to Senior Director of Process Improvement Kenny William, the company has experienced between 20% and 40% growth annually since 2004—with the exception of 2020, when the pandemic drastically slowed business for restaurants nationwide. But business was booming in 2016, when company leaders began to explore expansion options at the operation’s Addison DC, where small parts were flying out the door at record speed.
“With all of our growth, we were looking at what our future would look like when we were four times larger,” explains William, noting that at the time, Parts Town utilized 16 pickers per day, working staggered shifts, who filled orders using a mostly manual, grocery-style picking process. “[Expanding] wouldn’t work without gridlock. So we determined we needed an accelerator—some sort of automated system.”
Parts Town teamed up with material handling systems integrator Bastian Solutions and warehouse automation specialist AutoStore to implement AutoStore’s AS/RS, which combines product bins, robots, picking and putaway ports, a storage and retrieval “grid,” and a software-based controller to move inventory in and out of storage for automated fulfillment. The partners built the AS/RS inside a 300,000-square-foot, state-of-the-art DC designed to accommodate Parts Town’s future growth.
The new facility was up and running by the end of 2017, with an AutoStore that had a relatively small footprint, according to William—the AS/RS had about 15,000 bins and featured three picking ports, two putaway ports, and 21 robots to transport items through the system. Parts Town has expanded the system a few times since then. A large project that went live in August 2019 increased the bin count to more than 40,000, and added 16 picking ports and more than 100 robots.
Accuracy and storage optimization are the hallmarks of the project to date: Parts Town’s picking accuracy has improved by more than 50% since implementing AutoStore, and the robots handle roughly 75% of parts picks in just 7% of the total DC space.
“The combination of saving space and increasing efficiency quickly became the most apparent benefit,” William explains.
The AS/RS has allowed Parts Town to consolidate parts storage and picking, improve order quality and accuracy, and reduce its need to hire in a tough labor market. Operating on its previous model, the company would have needed to go from 16 pickers per day in 2016 to 170 pickers per day today in order to handle the increased volume—Parts Town filled an average 6,000 lines per day in 2016 compared with about 24,000 lines per day currently. Thanks to the AutoStore, Parts Town has only had to grow to 80 pickers per day.
“It’s labor, it’s consolidation of orders, it’s quality,” adds William. “Our labor savings will be in the millions of dollars when we are done. I think the way to say it is this: If all your inventory was in the AutoStore, you could pick four to five times faster.”
A portion of Parts Town’s inventory is stored outside the AS/RS. Oversized and slow-moving items, for example, are housed in floor-to-ceiling narrow-aisle racking accessed by wire-guided, very narrow-aisle (VNA) forklifts.
“That space is made available by the very fact that we have so much in the AutoStore,” William adds.
With the 2020 slowdown in its rearview mirror, Parts Town is back to double-digit growth and in need of another AutoStore expansion. Bastian Solutions began a project this past summer that will bring the size of Parts Town’s AutoStore to 55,000 bins, 29 ports, and 125 robots.
MANAGING INTERNATIONAL GROWTH
Aurobindo Pharma has a similar growth story. Faced with double-digit increases year over year and an expanding international business, the maker of generic pharmaceuticals has turned to warehouse automation to speed throughput and improve performance globally. In 2016, the company broke ground on a 567,000-square-foot facility in East Windsor, New Jersey, to serve as the distribution hub for its U.S. division, Aurobindo Pharma USA. The facility ships more than 200 million units per year to hospitals, doctors’ offices, commercial pharmacies, and retail outlets nationwide. The only way to meet that volume and expected future demand was an AS/RS, according to company leaders.
So they turned to industrial packaging equipment manufacturer Signode and its StorFast AS/RS. Aurobindo had implemented a StorFast system at one of its manufacturing sites in India and sought to replicate the success at the New Jersey DC. The shuttle- and cart-based system provides high-density storage and movement of pallets in and out of the DC, forming the core of a larger operating system that manages and tracks the location of every pallet. The system is integrated with Aurobindo’s enterprise resource planning (ERP) and warehouse management system (WMS) to protect and secure products throughout their journey.
All of Aurobindo Pharma USA’s products arrive from India and are tracked and traced in the system. Pallets are sorted and placed in the most appropriate location—based on volume, product type, expiration date, and other factors—and then stored until needed based on order fulfillment requirements. As one example, high-demand products are positioned closer to the front of the DC.
Aurobindo fills large and small orders from the New Jersey facility, including full pallets and cases for wholesalers and retailers as well as individual cartons for doctors’ offices and pharmacies. Some orders will contain multiple products and must be assembled by pulling from various pallets. The StorFast system knows which pallet to pull from, and if there is a pre-picked partial pallet that meets the need, it pulls from there instead of retrieving a full pallet.
“AS/RS is the best thing we’ve ever invested in,” Lorie Johnson Lawson, Aurobindo’s distribution manager for inbound import receiving, said in a statement describing the project. “From where we are now, we can move more product faster and with greater accuracy to our customers.”
And they also have room to grow. The StorFast system increased Aurobindo’s warehouse storage capacity to 34,000 pallets from 7,000 pallets, and the company is currently using about 55% of that storage space. Future plans include expanding the system to hold more than 40,000 pallets.
The San Francisco tech startup Vooma has raised $16 million in venture funding for its artificial intelligence (AI) platform designed for freight brokers and carriers, the company said today.
The backing came from a $13 million boost in “series A” funding led by Craft Ventures, which followed an earlier seed round of $3.6 million led by Index Ventures with participation from angel investors including founders and executives from major logistics and technology companies such as Motive, Project44, Ryder, and Uber Freight.
Founded in 2023, the firm has built “Vooma Agents,” which it calls a multi-channel AI platform for logistics. The system uses various agents to operate across email, text and voice channels, allowing for automation in workflows that were previously unaddressable by existing systems. According to Vooma, its platform lets logistics companies scale up their operations by reducing time spent on tedious and manual work and creating space to solve real logistical challenges, while also investing in critical relationships.
The company’s solutions include: Vooma Quote, which identifies quotes and drafts email responses, Vooma Build, a data-entry assistant for load building, and Vooma Voice, which can make and receive calls for brokers and carriers. Additional options are: Vooma Insights and the future releases of Vooma Agent and Vooma Schedule.
“The United States moves approximately 11.5 billion tons of truckloads annually, and moving freight from point A to B requires hundreds of touchpoints between shippers, brokers and carriers,” Vooma co-founder, who is the former CEO of ASG LogisTech, said in a release. “By introducing AI that fits naturally into existing systems, workflows and communication channels used across the industry, we are meaningfully reducing the tasks people dislike and freeing up their time and headspace for more meaningful and complex challenges.”
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."
The Dutch ship building company Concordia Damen has worked with four partner firms to build two specialized vessels that will serve the offshore wind industry by transporting large, and ever growing, wind turbine components, the company said today.
The first ship, Rotra Horizon, launched yesterday at Jiangsu Zhenjiang Shipyard, and its sister ship, Rotra Futura, is expected to be delivered to client Amasus in 2025. The project involved a five-way collaboration between Concordia Damen and Amasus, deugro Danmark, Siemens Gamesa, and DEKC Maritime.
The design of the 550-foot Rotra Futura and Rotra Horizon builds on the previous vessels Rotra Mare and Rotra Vente, which were also developed by Concordia Damen, and have been operating since 2016. However, the new vessels are equipped for the latest generation of wind turbine components, which are becoming larger and heavier. They can handle that increased load with a Roll-On/Roll-Off (RO/RO) design, specialized ramps, and three Liebherr cranes, allowing turbine blades to be stowed in three tiers, providing greater flexibility in loading methods and cargo configurations.
“For the Rotra Futura and Rotra Horizon, we, along with our partners, have focused extensively on energy savings and an environmentally friendly design,” Concordia Damen Managing Director Chris Kornet said in a release. “The aerodynamic and hydro-optimized hull design, combined with a special low-resistance coating, contributes to lower fuel consumption. Furthermore, the vessels are equipped with an advanced Wärtsilä main engine, which consumes 15 percent less fuel and has a smaller CO₂ emission footprint than current standards.”
Specifically, loaded import volume rose 11.2% in October 2024, compared to October 2023, as port operators processed 81,498 TEUs (twenty-foot containers), versus 73,281 TEUs in 2023, the port said today.
“Overall, the Port’s loaded import cargo is trending towards its pre-pandemic level,” Port of Oakland Maritime Director Bryan Brandes said in a release. “This steady increase in import volume in 2024 is an encouraging trend. We are also seeing a rise in US agricultural exports through Oakland. Thanks to refrigerated warehousing on Port property near the maritime terminals and convenient truck and rail access, we are well-positioned to continue to grow ag export cargo volume through the Oakland Seaport.”
Looking deeper into its October statistics, loaded exports declined 3.4%, registering 66,649 TEUs in October 2024, compared to 68,974 TEUs in October 2023. Despite that slight decline, the category has grown 6.7% between January and October 2024 compared to the same period last year.
In fact, Oakland’s exports have been declining over the past decade, a long-term trend that is largely due to the reduction in demand for recycled paper exports. However, agricultural exports have made up for some of the export losses from paper, the port said.
For the fourth quarter, empty exports bumped up 30.6%. Port operators processed 29,750 TEUs in October 2024, compared to 22,775 TEUs in October 2023. And empty imports increased 15.3%, with 15,682 TEUs transiting Port facilities in October 2024, in contrast to 13,597 TEUs in October 2023.
A growing number of organizations are identifying ways to use GenAI to streamline their operations and accelerate innovation, using that new automation and efficiency to cut costs, carry out tasks faster and more accurately, and foster the creation of new products and services for additional revenue streams. That was the conclusion from ISG’s “2024 ISG Provider Lens global Generative AI Services” report.
The most rapid development of enterprise GenAI projects today is happening on text-based applications, primarily due to relatively simple interfaces, rapid ROI, and broad usefulness. Companies have been especially aggressive in implementing chatbots powered by large language models (LLMs), which can provide personalized assistance, customer support, and automated communication on a massive scale, ISG said.
However, most organizations have yet to tap GenAI’s potential for applications based on images, audio, video and data, the report says. Multimodal GenAI is still evolving toward mainstream adoption, but use cases are rapidly emerging, and with ongoing advances in neural networks and deep learning, they are expected to become highly integrated and sophisticated soon.
Future GenAI projects will also be more customized, as the sector sees a major shift from fine-tuning of LLMs to smaller models that serve specific industries, such as healthcare, finance, and manufacturing, ISG says. Enterprises and service providers increasingly recognize that customized, domain-specific AI models offer significant advantages in terms of cost, scalability, and performance. Customized GenAI can also deliver on demands like the need for privacy and security, specialization of tasks, and integration of AI into existing operations.