Our annual DC metrics study has found little change in performance against the standard operational measures in the past few years. So how will facilities look to distinguish themselves in the future?
Former New York Mayor Ed Koch was well known for asking the question, "How'm I doing?" as he prowled the city. His goal was to get a street-level view of his performance.
Nine years ago, DC Velocity and its research partners set out to look at how warehouse and distribution center managers dealt with essentially the same question—that is, what steps they were taking to assess how their own operations were doing. The result was the launch of our annual metrics study, which tracks the measures DC professionals are using to monitor their operations as well as changes and trends in overall performance against those metrics from year to year. The study also provides valuable benchmarks managers can use to see how their operations stack up both within the company and against their competitors.
Since the inception of this study, our focus has been on the operational side of performance—the number of labels licked and boxes kicked per hour, or the percentage of orders sent damage-free. You name the measure, and if it's important to the industry, we have the metric.
More recently, however, we have been turning our attention to metrics of another sort—what we might call the "soft" side of logistics. But more on that later. First, we'll take a look at what we learned this year.
Which metrics matter most?
This year's study was conducted among DC Velocity's readers and members of the Warehousing Education and Research Council (WERC) by researchers from Georgia Southern University and the consulting firm Supply Chain Visions. While the number of responses to the survey, which was carried out via an online questionnaire in January, was relatively large (in excess of 225 for 2012), it did not match last year's usable responses. In order to increase the predictive power of the benchmarks, researchers combined the 2012 results with 2011's, for a total of 802 participants.
Respondents were asked to identify the metrics they used in their operations as well as to grade their own facilities' performance against 44 specific operational measures. For purposes of analysis, the measures have been grouped into five balanced sets: customer, operational, financial, capacity/quality, and employee.
As for what performance metrics are most favored by DC and warehouse professionals, the study has shown that the top measures don't vary much from year to year. For 2012, the most frequently employed metrics were on-time shipments, order picking accuracy, and average warehouse capacity used. Those same three measures also topped the previous year's list, albeit in a slightly different order.
In fact, as Exhibit 1 shows, there has been little change in the top 12 metrics used by the industry in the past three years—for example, the only change in this year's rankings from 2011 was a slight variation in the order of the top 12. (We should point out that we made a change in methodology last year in calculating the top 12 list, which caused some shifts in the rankings against previous years.)
Also worth noting here is that the three measures related to cycle time—4, 5, and 6 in 2012—have steadily increased in importance since 2010, suggesting that DC managers are recognizing that a "supply chain" type view of performance is important in addition to considering individual activities.
If we dig a bit further into the results for a handful of the metrics, we note that after several years of steady improvement, performance in general seems to have leveled off somewhat. Given the profile of the respondents—members of a professional organization and/or readers of a leading logistics industry publication—you might expect to see a continuation of the long-term trend of performance improvement. However, logic dictates that we will eventually reach a point of saturation, and we believe we are nearing this point.
In addition, we have noticed a continued tightening of the measures. In other words, the gap between best-in-class companies (the top-performing organizations) and "major opportunity" companies (the bottom performers) is growing smaller, or at least not widening.
Take on-time shipments, for example. Exhibit 2 shows the performance for companies categorized as "major opportunity" (the lowest 20 percent of respondents), "typical" (the middle 20 percent), and "best in class" (the top 20 percent), along with the median numbers for 2008, 2010, and 2012. The best-in-class performers, which had almost nowhere to go, remain near perfect. Typical performers' numbers also remain essentially unchanged, while those in the "major opportunity" category made small gains when it came to getting shipments out the door on time. The results for order picking accuracy and fill rate are similar.
In terms of performance, we believe the metric to watch over the next couple of years will be annual workforce turnover. As Exhibit 3 shows, the turnover rates among best-in-class and median performers are at or near their lowest points since 2007, when we first began to break out the data by quintiles. As economic activity heats up, we expect to see these numbers return to 2007 levels, when the median turnover rate was 14 percent.
Why? In 2006, the national unemployment rate hovered around 4.5 percent, with jobs added at the rate of about 200,000 a month. (Keep in mind that the 2007 survey report was based on data from 2006.) The low unemployment rate meant greater opportunities for workers in search of better pay or working conditions.
Contrast that to the situation in 2011, when the high rate of unemployment likely deterred workers from leaving steady jobs. It's probably no surprise that the median turnover rate dropped to 5 percent from 8 percent the previous year, an improvement of 37 percent. (The best-in-class performers, by the way, have maintained relatively low turnover rates despite wide fluctuations in the economy.)
Now, unemployment is at its lowest rate since February 2009, making the economic environment more conducive to worker mobility than it's been for some time. We suspect that as confidence in the economy grows, more employees will start to seek greener pastures, and the turnover rate will rise.
What's next?
As we've noted, the gap between the best- and weakest-performing DCs has narrowed or stayed the same in recent years. That raises the question of what will emerge as the next competitive differentiator. We would argue that as facilities continue to close the gap in operational performance, attention will turn to what we call the "soft" side of performance—how human beings interact with one another in the workplace. That's because skills like the ability to communicate effectively and build and maintain relationships—whether with colleagues, suppliers, or customers—have a measurable impact on both operational performance and customer satisfaction. (See Exhibit 4 for some examples.)
To put it another way, the effectiveness of an organization's relationship with customers and suppliers depends heavily upon non-operational elements of performance: employees' ability to communicate well, personally interface with counterparts at other companies, make mutually beneficial decisions, solve problems jointly, and collaborate. Ignoring these interpersonal aspects of performance can often have negative long-term effects on relationships, which is likely to have severe consequences for a company as a whole.
To develop a true picture of supply chain success, then, organizations must measure both the "what" (operational) and the "how" (interpersonal) aspects of performance. The importance of these soft skills dictates a need for a new generation of business metrics and scorecards designed to gauge both sides of performance.
In the upcoming years, research will be needed to explore how these attributes should be defined, calculated, and tracked. It is significantly different from previous metrics and benchmarking studies, as many of the measures are relatively new. The University of Tennessee and Georgia Southern University have already started researching companies that are taking a hard look at the soft side of performance.
Editor's note: The full results of the study will be available at www.werc.org after the annual WERC conference in Atlanta May 6-9. To read more about the "soft" side of metrics, see "A hard look at the soft side of performance," which appeared in the Quarter 4/2011 edition of DC Velocity's sister publication, CSCMP's Supply Chain Quarterly.
The Port of Oakland has been awarded $50 million from the U.S. Department of Transportation’s Maritime Administration (MARAD) to modernize wharves and terminal infrastructure at its Outer Harbor facility, the port said today.
Those upgrades would enable the Outer Harbor to accommodate Ultra Large Container Vessels (ULCVs), which are now a regular part of the shipping fleet calling on West Coast ports. Each of these ships has a handling capacity of up to 24,000 TEUs (20-foot containers) but are currently restricted at portions of Oakland’s Outer Harbor by aging wharves which were originally designed for smaller ships.
According to the port, those changes will let it handle newer, larger vessels, which are more efficient, cost effective, and environmentally cleaner to operate than older ships. Specific investments for the project will include: wharf strengthening, structural repairs, replacing container crane rails, adding support piles, strengthening support beams, and replacing electrical bus bar system to accommodate larger ship-to-shore cranes.
The Florida logistics technology startup OneRail has raised $42 million in venture backing to lift the fulfillment software company its next level of growth, the company said today.
The “series C” round was led by Los Angeles-based Aliment Capital, with additional participation from new investors eGateway Capital and Florida Opportunity Fund, as well as current investors Arsenal Growth Equity, Piva Capital, Bullpen Capital, Las Olas Venture Capital, Chicago Ventures, Gaingels and Mana Ventures. According to OneRail, the funding comes amidst a challenging funding environment where venture capital funding in the logistics sector has seen a 90% decline over the past two years.
The latest infusion follows the firm’s $33 million Series B round in 2022, and its move earlier in 2024 to acquire the Vancouver, Canada-based company Orderbot, a provider of enterprise inventory and distributed order management (DOM) software.
Orlando-based OneRail says its omnichannel fulfillment solution pairs its OmniPoint cloud software with a logistics as a service platform and a real-time, connected network of 12 million drivers. The firm says that its OmniPointsoftware automates fulfillment orchestration and last mile logistics, intelligently selecting the right place to fulfill inventory from, the right shipping mode, and the right carrier to optimize every order.
“This new funding round enables us to deepen our decision logic upstream in the order process to help solve some of the acute challenges facing retailers and wholesalers, such as order sourcing logic defaulting to closest store to customer to fulfill inventory from, which leads to split orders, out-of-stocks, or worse, cancelled orders,” OneRail Founder and CEO Bill Catania said in a release. “OneRail has revolutionized that process with a dynamic fulfillment solution that quickly finds available inventory in full, from an array of stores or warehouses within a localized radius of the customer, to meet the delivery promise, which ultimately transforms the end-customer experience.”
Commercial fleet operators are steadily increasing their use of GPS fleet tracking, in-cab video solutions, and predictive analytics, driven by rising costs, evolving regulations, and competitive pressures, according to an industry report from Verizon Connect.
Those conclusions come from the company’s fifth annual “Fleet Technology Trends Report,” conducted in partnership with Bobit Business Media, and based on responses from 543 fleet management professionals.
The study showed that for five consecutive years, at least four out of five respondents have reported using at least one form of fleet technology, said Atlanta-based Verizon Connect, which provides fleet and mobile workforce management software platforms, embedded OEM hardware, and a connected vehicle device called Hum by Verizon.
The most commonly used of those technologies is GPS fleet tracking, with 69% of fleets across industries reporting its use, the survey showed. Of those users, 72% find it extremely or very beneficial, citing improved efficiency (62%) and a reduction in harsh driving/speeding events (49%).
Respondents also reported a focus on safety, with 57% of respondents citing improved driver safety as a key benefit of GPS fleet tracking. And 68% of users said in-cab video solutions are extremely or very beneficial. Together, those technologies help reduce distracted driving incidents, improve coaching sessions, and help reduce accident and insurance costs, Verizon Connect said.
Looking at the future, fleet management software is evolving to meet emerging challenges, including sustainability and electrification, the company said. "The findings from this year's Fleet Technology Trends Report highlight a strong commitment across industries to embracing fleet technology, with GPS tracking and in-cab video solutions consistently delivering measurable results,” Peter Mitchell, General Manager, Verizon Connect, said in a release. “As fleets face rising costs and increased regulatory pressures, these technologies are proving to be indispensable in helping organizations optimize their operations, reduce expenses, and navigate the path toward a more sustainable future.”
Businesses engaged in international trade face three major supply chain hurdles as they head into 2025: the disruptions caused by Chinese New Year (CNY), the looming threat of potential tariffs on foreign-made products that could be imposed by the incoming Trump Administration, and the unresolved contract negotiations between the International Longshoremen’s Association (ILA) and the U.S. Maritime Alliance (USMX), according to an analysis from trucking and logistics provider Averitt.
Each of those factors could lead to significant shipping delays, production slowdowns, and increased costs, Averitt said.
First, Chinese New Year 2025 begins on January 29, prompting factories across China and other regions to shut down for weeks, typically causing production to halt and freight demand to skyrocket. The ripple effects can range from increased shipping costs to extended lead times, disrupting even the most well-planned operations. To prepare for that event, shippers should place orders early, build inventory buffers, secure freight space in advance, diversify shipping modes, and communicate with logistics providers, Averitt said.
Second, new or increased tariffs on foreign-made goods could drive up the cost of imports, disrupt established supply chains, and create uncertainty in the marketplace. In turn, shippers may face freight rate volatility and capacity constraints as businesses rush to stockpile inventory ahead of tariff deadlines. To navigate these challenges, shippers should prepare advance shipments and inventory stockpiling, diversity sourcing, negotiate supplier agreements, explore domestic production, and leverage financial strategies.
Third, unresolved contract negotiations between the ILA and the USMX will come to a head by January 15, when the current contract expires. Labor action or strikes could cause severe disruptions at East and Gulf Coast ports, triggering widespread delays and bottlenecks across the supply chain. To prepare for the worst, shippers should adopt a similar strategy to the other potential January threats: collaborate early, secure freight, diversify supply chains, and monitor policy changes.
According to Averitt, companies can cushion the impact of all three challenges by deploying a seamless, end-to-end solution covering the entire path from customs clearance to final-mile delivery. That strategy can help businesses to store inventory closer to their customers, mitigate delays, and reduce costs associated with supply chain disruptions. And combined with proactive communication and real-time visibility tools, the approach allows companies to maintain control and keep their supply chains resilient in the face of global uncertainties, Averitt said.
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.