When a client needs a data analyst in Denver or a logistician in Luxembourg, IBM's revolutionary labor management system can dispatch the right person for the job at a moment's notice.
John Johnson joined the DC Velocity team in March 2004. A veteran business journalist, John has over a dozen years of experience covering the supply chain field, including time as chief editor of Warehousing Management. In addition, he has covered the venture capital community and previously was a sports reporter covering professional and collegiate sports in the Boston area. John served as senior editor and chief editor of DC Velocity until April 2008.
Just days before Hurricane Katrina slammed into the Gulf Coast, the phone rang at IBM's Global Services consulting division. On the line was a frantic caller who wanted 14 IBM consultants dispatched immediately to Baton Rouge, La.; Washington, D.C.; and several sites in South Carolina to help with disaster recovery plans. And the caller (a large publicly traded company and major IBM customer) didn't want just any consultants: It wanted specialists with expertise in data analysis, process improvement, logistics management and information management.
As recently as 18 months ago, IBM might not have been able to meet that request on such short notice. But this time, it was no problem. In less than 24 hours, the specialists requested were in place and ready to roll.
What allowed IBM to do that was a program launched last year known as the Workplace Management Initiative. WMI, as it's known, basically allows Big Blue to manage personnel the same way it manages its inventories of semiconductors and hard drives, albeit with one important difference: "We always remember that we're dealing with people, not parts," says Daniel Forno, vice president of labor optimization, IBM Integrated Supply Chain.
The project is still in the middle stages, but when the data entry is completed (most likely by the end of next year), IBM's computer system will contain a complete catalog of each of the nearly 200,000 consultants in its professional service division. Not only will it be able to instantly retrieve data on each employee's specialties and skills, but it will also be able to track workers' whereabouts so that it can automatically send the most suitable—and closest—consultant to meet its clients' requests. No longer will a logistics management specialist in Poughkeepsie be sent off to Sweden because no one was aware that an equally suitable candidate was just finishing up a job in Denmark.
Instant results
Buoyed by its success in recent years overhauling the various IBM divisions' supply chains (the corporation has reportedly shaved more than $20 billion in costs), IBM now hopes to achieve similar results in its growing service sector. (Just under half of IBM's $96 billion in 2004 sales came from its consulting organization.) "Much of what you see in a manufacturing supply chain, [such as] the value of aggregating inventory of parts so you don't have that extra cost ..., [also applies] in the people environment, and [the potential for savings is] very dramatic," says Forno. "This is a natural progression for us. We've been transforming our own physical supply chain for a number of years now. At this point, it's [a matter of taking what] we did with [the] regular supply chain and applying it to our labor force."
For this task, IBM has taken its cues from its inventory management experts. First, it created a uniform taxonomy for classifying consultants' expertise systemwide (in the past, each division had its own system for tracking employees' skills). Just as IBM's stock management system knows exactly which components are in stock in a specific location, its WMI system will have comparable types of information on employees once the WMI data entry work is completed. Employee profiles will contain such information as the person's primary area of expertise, secondary area of expertise and whether that employee's primary skills lie in technical expertise or leadership.
Automation has done wonders for the operation's efficiency, says Forno. "Prior to starting down this path, we could spend a month looking for a single resource and not find it until that requirement escalated all the way up to management. Now it's happening in minutes."
What's more, the company reports a noticeable improvement in its forecasting. "We're using statistical forecasting with complicated algorithms [to determine] the most efficient way to meet demand," Forno says. The complexities of managing a workforce that's in constant motion (and whose skills profiles are constantly in flux) might defeat a human being, he points out, but they're nothing to a computer. "[A]ll of this is being built into the algorithms that drive the demand forecasting for human resources," Forno says. "This helps us to keep our human resource inventory where we want it to be by using sophisticated science instead of guesstimating."
Of course, right now it's still a work in progress. The program began as a pilot concept in 2004. In the months since, IBM has entered the profiles of about 40,000 of its associates into its Professional Marketplace, the name given to the system that tracks employees and their skill sets. By the end of 2006, Forno expects that IBM will have accumulated close to 250,000 profiles, meaning that it will be able to identify service professionals for project assignments instantaneously.
Preserving the human capital
Though the program is still in its infancy, the company is already reaping the benefits. IBM reports that it has saved nearly $2.5 billion from the WMI so far, and it expects to save billions more once the program is fully up and running.
To begin with, IBM estimates that it has already reduced its reliance on expensive outside contractors by up to 7 percent. Furthermore, the utilization rate—the amount of time that consultants spend on billable tasks—has soared.
The program has also increased customer satisfaction. These days, the consultants dispatched to lead projects are more likely to have the exact qualifications requested by the client than might have been the case in the past. They also arrive at their assignments more quickly. The payoff can be measured in more than goodwill. According to Navi Radjou, a vice president at Forrester Research, IBM has discovered that for each point of improvement in its customers' satisfaction, it can expect annual revenue to grow by up to $3 billion.
Though it's impossible to quantify, employee morale and quality of life have soared, the company reports. Because the system closely monitors consultants' whereabouts, it knows which employees have been on the road and need a rest. "The system is smart enough to know that if an employee has flown from San Francisco to Paris to Hong Kong, it should put [him or her] on the bench and not fly the person anywhere for a couple of weeks," says Forno. "Instead, we can assign another resource who is just as skilled and just as qualified, so we don't wear out our consultants."
Despite the tremendous internal benefits, the labor management program's biggest payoff may lie in the eventual commercialization of the system for use by IBM's clients. Customers who have gotten word of the program are already inquiring about when it may become available. Eventually, IBM hopes to employ the system for use in government agencies like the Department of Defense and private-sector companies with large workforces. "We've been working all along with the idea that there is commercial value to what we're doing," says Forno. "At the end of the discussions that I've had with customers, they are prepared to buy what we're selling immediately."
One particular benefit down the road could be addressing the looming labor shortage. By the year 2025, 25 percent of the nation's workforce—nearly 86 million people—will reach retirement age, resulting in a potentially crippling corporate brain drain. IBM expects that its WMI program will help both IBM itself and its clients plan for the mass exodus.
With the labor management system in place, says Forno, "we'll know when [the shortage is going to hit] and we can plan our supply against demand and be proactive instead of reactive. You need to ... know what kinds of skills and talents are going to be walking out the door because of retirement [so that] you can replenish them and work with universities to recruit [new people]. You'll need to have a good handle on what your skills are ... to do that. Companies that don't have a good handle on supply and demand will be facing some significant difficulties."
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."