David Maloney has been a journalist for more than 35 years and is currently the group editorial director for DC Velocity and Supply Chain Quarterly magazines. In this role, he is responsible for the editorial content of both brands of Agile Business Media. Dave joined DC Velocity in April of 2004. Prior to that, he was a senior editor for Modern Materials Handling magazine. Dave also has extensive experience as a broadcast journalist. Before writing for supply chain publications, he was a journalist, television producer and director in Pittsburgh. Dave combines a background of reporting on logistics with his video production experience to bring new opportunities to DC Velocity readers, including web videos highlighting top distribution and logistics facilities, webcasts and other cross-media projects. He continues to live and work in the Pittsburgh area.
There are times in business when external pressures push a company to the brink, forcing it to adapt swiftly to changing circumstances in order to survive.
Pharmaceuticals distributor Harvard Drug Group faced such a challenge a few years back. In this case, the crisis was precipitated by regulatory requirements. To combat a rising tide of drug tampering and counterfeiting incidents, both the federal and state governments had begun imposing tighter controls over the distribution process. One result was a spate of drug "pedigree" laws—legislation requiring suppliers, wholesalers, distributors, and/or repackagers to maintain detailed records documenting each stage of a drug's journey through the supply chain.
For wholesaler/distributors like Harvard Drug, the pedigree laws brought a new set of record-keeping burdens. In addition to their own internal records, they would now be responsible for gathering item-specific information (like drug names and exact lot numbers) on all of the products they handled. They would also be required to certify the accuracy of the pedigrees and the orders they shipped.
That may sound more like an inconvenience than a body blow, but it was a serious concern for Harvard Drug. The company was already under intense pressure to turn orders around swiftly. Now, it would have to find a way to incorporate an additional, time-consuming step into its process. For a time, the company was genuinely worried that the rigorous pedigree requirements might put it out of business.
Technical difficulties
To understand why Harvard Drug found the prospect so alarming, you need to know a little about its business. The Livonia, Mich.-based company distributes pharmaceuticals, over-the-counter drugs, vitamins, and veterinary medicines to independent pharmacies, small drug store chains, hospitals, clinics, and veterinary offices. These are customers with high service expectations. Because of the high cost of drugs, stores and pharmacies tend to keep very little stock on hand; instead, they rely on their suppliers to ship them products as needed—and there's little tolerance for delays. An order placed today is expected to be at the store or clinic tomorrow.
To assure swift processing, Harvard Drug has designed its Livonia DC to turn an order around within two hours. But the pedigree requirements threatened to gum up the works. First, there was the problem of squeezing tasks like lot and expiration date validation into an already compressed cycle. Then there was the question of technology. As the company began looking into the new data gathering requirements, it quickly realized that its current system wasn't up to the job.
"Our legacy software system did not have the ability to track items at the lot level," explains Dale Swoffer, Harvard Drug's senior vice president of information technology and chief information officer. And that wasn't all. It was also clear that the RF picking system used at the Livonia DC wouldn't be able to keep up with the new demands. "To get the volume and the validation we needed, it would not have been possible with RF, because there are no bar codes [from the manufacturer] to identify each lot," Swoffer says. "We would have had to put a bar-code label on each bottle with a unique ID. It was just not practical with the amount of volume we put through."
There was no way around it. In order to survive, the company would have to make some big changes. "We had no choice," says Swoffer. "The bottom line is we had to make it work or we'd be out of business—period."
By the numbers
Harvard Drug found the answer to its pedigree problems in new software and a voice-directed picking system. The software includes a warehouse management system (WMS) from Manhattan Associates that connects to an Axway software solution that handles the pedigree tracking. The Manhattan software also interfaces directly with the Vocollect Voice voice-directed picking system, which provides workers with real-time order fulfillment instructions and captures the data needed for lot and expiration date validation.
Today, 40 workers use the voice system at the company's Livonia distribution facility, a 70,000-square-foot center that fills orders for small piece items and cases. Individual orders are gathered into totes, which are conveyed to zones within the pick modules. As a tote enters a zone, a worker reads the last five digits of the tote's ID number into a headset to notify the WMS of the tote's arrival. The system responds by giving the worker verbal directions to the location of the first item to be picked. When he or she reaches that spot, the worker confirms the location by reading off the rack's check digit number.
About 90 percent of bin locations contain multiple lots, which means the voice system must be very specific in the instructions it provides regarding the lots and quantities to be picked. The worker confirms the pick by reading back the last four digits of the lot number and the quantity selected before depositing the items into the tote. The voice system then repeats the process for any other items needed from that zone. Once all the picks in a zone have been completed, the tote is passed to the next zone until the order is complete or the tote is full.
For the remaining 10 percent of bin locations—those that contain a single lot—pickers follow a slightly curtailed procedure. In those cases, the software automatically skips the request for lot confirmation, which helps speed up the picking process.
The voice system is designed with flexibility in mind. For instance, if a worker receives instructions to select items from a particular lot but finds the lot is no longer available within the zone, he or she can pick from another lot of the same SKU, informing the voice system of the change so it can update the pedigree record.
Sounds good
Since converting over to the new software and voice-directed system, the Livonia DC has been able to ship orders on time and handle higher volumes, Swoffer reports. "We have more than kept pace," he says. "We actually do more lines today and have increased our volume, while adding the additional steps for the pedigree requirements." The facility now averages about 12,000 lines picked a day, with a peak of 18,000.
Order accuracy is up as well. Picking accuracy this year has run about 99.93 percent, up slightly from 2008 numbers. But with the strict pedigree requirements, 99.93 percent isn't good enough—the company will accept nothing less than perfection. So Harvard Drug has set up an additional validation process to ensure that all errors are corrected before orders leave the building.
As for what's ahead, the company hopes to roll out the voice system (which is currently used only for picking) to the putaway and cycle counting functions at the Livonia DC. It is also looking to implement voice technology next year at its facility in Indianapolis, a smaller center that houses a case picking operation.
"I really do not think we could have gotten through all of our processes with the speed we needed without voice," says Swoffer. "It gives us a clear competitive edge, and that is why we want to expand it to our Indianapolis DC."
A move by federal regulators to reinforce requirements for broker transparency in freight transactions is stirring debate among transportation groups, after the Federal Motor Carrier Safety Administration (FMCSA) published a “notice of proposed rulemaking” this week.
According to FMCSA, its draft rule would strive to make broker transparency more common, requiring greater sharing of the material information necessary for transportation industry parties to make informed business decisions and to support the efficient resolution of disputes.
The proposed rule titled “Transparency in Property Broker Transactions” would address what FMCSA calls the lack of access to information among shippers and motor carriers that can impact the fairness and efficiency of the transportation system, and would reframe broker transparency as a regulatory duty imposed on brokers, with the goal of deterring non-compliance. Specifically, the move would require brokers to keep electronic records, and require brokers to provide transaction records to motor carriers and shippers upon request and within 48 hours of that request.
Under federal regulatory processes, public comments on the move are due by January 21, 2025. However, transportation groups are not waiting on the sidelines to voice their opinions.
According to the Transportation Intermediaries Association (TIA), an industry group representing the third-party logistics (3PL) industry, the potential rule is “misguided overreach” that fails to address the more pressing issue of freight fraud. In TIA’s view, broker transparency regulation is “obsolete and un-American,” and has no place in today’s “highly transparent” marketplace. “This proposal represents a misguided focus on outdated and unnecessary regulations rather than tackling issues that genuinely threaten the safety and efficiency of our nation’s supply chains,” TIA said.
But trucker trade group the Owner-Operator Independent Drivers Association (OOIDA) welcomed the proposed rule, which it said would ensure that brokers finally play by the rules. “We appreciate that FMCSA incorporated input from our petition, including a requirement to make records available electronically and emphasizing that brokers have a duty to comply with regulations. As FMCSA noted, broker transparency is necessary for a fair, efficient transportation system, and is especially important to help carriers defend themselves against alleged claims on a shipment,” OOIDA President Todd Spencer said in a statement.
Additional pushback came from the Small Business in Transportation Coalition (SBTC), a network of transportation professionals in small business, which said the potential rule didn’t go far enough. “This is too little too late and is disappointing. It preserves the status quo, which caters to Big Broker & TIA. There is no question now that FMCSA has been captured by Big Broker. Truckers and carriers must now come out in droves and file comments in full force against this starting tomorrow,” SBTC executive director James Lamb said in a LinkedIn post.
The “series B” funding round was financed by an unnamed “strategic customer” as well as Teradyne Robotics Ventures, Toyota Ventures, Ranpak, Third Kind Venture Capital, One Madison Group, Hyperplane, Catapult Ventures, and others.
The fresh backing comes as Massachusetts-based Pickle reported a spate of third quarter orders, saying that six customers placed orders for over 30 production robots to deploy in the first half of 2025. The new orders include pilot conversions, existing customer expansions, and new customer adoption.
“Pickle is hitting its strides delivering innovation, development, commercial traction, and customer satisfaction. The company is building groundbreaking technology while executing on essential recurring parts of a successful business like field service and manufacturing management,” Omar Asali, Pickle board member and CEO of investor Ranpak, said in a release.
According to Pickle, its truck-unloading robot applies “Physical AI” technology to one of the most labor-intensive, physically demanding, and highest turnover work areas in logistics operations. The platform combines a powerful vision system with generative AI foundation models trained on millions of data points from real logistics and warehouse operations that enable Pickle’s robotic hardware platform to perform physical work at human-scale or better, the company says.
Bloomington, Indiana-based FTR said its Trucking Conditions Index declined in September to -2.47 from -1.39 in August as weakness in the principal freight dynamics – freight rates, utilization, and volume – offset lower fuel costs and slightly less unfavorable financing costs.
Those negative numbers are nothing new—the TCI has been positive only twice – in May and June of this year – since April 2022, but the group’s current forecast still envisions consistently positive readings through at least a two-year forecast horizon.
“Aside from a near-term boost mostly related to falling diesel prices, we have not changed our Trucking Conditions Index forecast significantly in the wake of the election,” Avery Vise, FTR’s vice president of trucking, said in a release. “The outlook continues to be more favorable for carriers than what they have experienced for well over two years. Our analysis indicates gradual but steadily rising capacity utilization leading to stronger freight rates in 2025.”
But FTR said its forecast remains unchanged. “Just like everyone else, we’ll be watching closely to see exactly what trade and other economic policies are implemented and over what time frame. Some freight disruptions are likely due to tariffs and other factors, but it is not yet clear that those actions will do more than shift the timing of activity,” Vise said.
The TCI tracks the changes representing five major conditions in the U.S. truck market: freight volumes, freight rates, fleet capacity, fuel prices, and financing costs. Combined into a single index indicating the industry’s overall health, a positive score represents good, optimistic conditions while a negative score shows the inverse.
Specifically, the new global average robot density has reached a record 162 units per 10,000 employees in 2023, which is more than double the mark of 74 units measured seven years ago.
Broken into geographical regions, the European Union has a robot density of 219 units per 10,000 employees, an increase of 5.2%, with Germany, Sweden, Denmark and Slovenia in the global top ten. Next, North America’s robot density is 197 units per 10,000 employees – up 4.2%. And Asia has a robot density of 182 units per 10,000 persons employed in manufacturing - an increase of 7.6%. The economies of Korea, Singapore, mainland China and Japan are among the top ten most automated countries.
Broken into individual countries, the U.S. ranked in 10th place in 2023, with a robot density of 295 units. Higher up on the list, the top five are:
The Republic of Korea, with 1,012 robot units, showing a 5% increase on average each year since 2018 thanks to its strong electronics and automotive industries.
Singapore had 770 robot units, in part because it is a small country with a very low number of employees in the manufacturing industry, so it can reach a high robot density with a relatively small operational stock.
China took third place in 2023, surpassing Germany and Japan with a mark of 470 robot units as the nation has managed to double its robot density within four years.
Germany ranks fourth with 429 robot units for a 5% CAGR since 2018.
Japan is in fifth place with 419 robot units, showing growth of 7% on average each year from 2018 to 2023.
Progress in generative AI (GenAI) is poised to impact business procurement processes through advancements in three areas—agentic reasoning, multimodality, and AI agents—according to Gartner Inc.
Those functions will redefine how procurement operates and significantly impact the agendas of chief procurement officers (CPOs). And 72% of procurement leaders are already prioritizing the integration of GenAI into their strategies, thus highlighting the recognition of its potential to drive significant improvements in efficiency and effectiveness, Gartner found in a survey conducted in July, 2024, with 258 global respondents.
Gartner defined the new functions as follows:
Agentic reasoning in GenAI allows for advanced decision-making processes that mimic human-like cognition. This capability will enable procurement functions to leverage GenAI to analyze complex scenarios and make informed decisions with greater accuracy and speed.
Multimodality refers to the ability of GenAI to process and integrate multiple forms of data, such as text, images, and audio. This will make GenAI more intuitively consumable to users and enhance procurement's ability to gather and analyze diverse information sources, leading to more comprehensive insights and better-informed strategies.
AI agents are autonomous systems that can perform tasks and make decisions on behalf of human operators. In procurement, these agents will automate procurement tasks and activities, freeing up human resources to focus on strategic initiatives, complex problem-solving and edge cases.
As CPOs look to maximize the value of GenAI in procurement, the study recommended three starting points: double down on data governance, develop and incorporate privacy standards into contracts, and increase procurement thresholds.
“These advancements will usher procurement into an era where the distance between ideas, insights, and actions will shorten rapidly,” Ryan Polk, senior director analyst in Gartner’s Supply Chain practice, said in a release. "Procurement leaders who build their foundation now through a focus on data quality, privacy and risk management have the potential to reap new levels of productivity and strategic value from the technology."