James Cooke is a principal analyst with Nucleus Research in Boston, covering supply chain planning software. He was previously the editor of CSCMP?s Supply Chain Quarterly and a staff writer for DC Velocity.
Logistics and supply chain managers are getting smarter ... at least when it comes to using software intelligence to run their supply chains. Sixty-five percent of the respondents to this year's survey on supply chain software usage said they now use software for analysis.
That was one of the key findings of the annual study conducted jointly by the consulting firm Nucleus Research in Boston and DC Velocity. The findings are based on 167 responses received from readers of DC Velocity and its sister publication, CSCMP's Supply Chain Quarterly. The survey, now in its third year, provides a snapshot of how logistics and supply chain managers are using software to improve their operations.
The breakdown of survey respondents resembled that of previous studies. As in past surveys, manufacturers made up the largest category of survey takers, at 35 percent of respondents. Next came third-party logistics service providers (3PLs), at 15 percent. Wholesale distribution, retail, and transportation each accounted for 9 percent, while the remaining 23 percent fell into the "other" category.
A plurality of survey takers came from small companies, as was the case in past samplings. Forty-four percent of survey respondents work for companies with under $100 million in annual revenue. Sixteen percent came from companies with revenues of under $500 million, 9 percent from companies with revenues under $1 billion, 17 percent from companies with revenues between $1 billion and $5 billion, and 14 percent from companies with revenues exceeding $5 billion.
WMS STILL NUMBER ONE
So what software tools are readers using? As was the case in the past two surveys, warehouse management systems (WMS) topped the list, with 50 percent of respondents using this application. Because a WMS oversees distribution center operations, it stands to reason that this application would place first on the board with readers.
The second most commonly used application was also no surprise. Enterprise resource planning (ERP) software, which serves as the system of record for financial transactions, was used by 46 percent of the survey respondents. In third place were order management systems, used by 43 percent. Fourth on the list was transportation management software (TMS), used by 41 percent (an unsurprising result given that the software, which is used for managing carriers, is a mainstay of today's logistics operations). In fifth place on the list, cited by 35 percent, was analytics, a software category that's gaining in importance. (For the full list, see Exhibit 1.)
The ranking of the software tools in the middle also came as little surprise. Although demand planning offers value to companies selling or making thousands of stock-keeping units (SKUs), many of their smaller counterparts still aren't using sophisticated software tools for forecasting. Similarly, inventory optimization tends to be used by companies struggling to manage the inventory for thousands of SKUs across several locations.
The tools ranked on the bottom of this list are either of interest to a narrow base or are new technology. For example, distributed order management systems were used by 10 percent. This type of software is deployed specifically by omnichannel retailers to determine whether to fill an online order from a store or a warehouse/DC. Another application, the control tower system, which was also cited by 10 percent, is a nascent technology that's now only being deployed by multinational companies to manage the end-to-end supply chain. Ten percent of respondents were using trade management software, an application only of value to companies involved in cross-border trade. Finally, 8 percent were using demand sensing, an advanced application used currently by leading-edge consumer product companies to quickly discern changes in consumer buying preferences.
Thirty percent of those surveyed had bought new supply chain software in the past year. Most of the purchases were WMS packages, which were bought by 33 percent. Twenty-four percent bought a new TMS. Interestingly, the third most frequently purchased type of software was analytics, cited by 15 percent—another indication in our survey that more and more companies are interested in using software intelligence to gain insights into their operations.
THE PAYBACK STRUGGLE CONTINUES
The survey found that many companies are still struggling with the issue of payback on their software purchases. Although 43 percent of respondents said they had received the expected payback from a purchase, an equal number said they were unsure as to whether they had recouped their investment. On the other hand, 14 percent were firm in their view that their company had not received the expected return on their supply chain software investment. Given that a supply chain software license or subscription can run into the thousands of dollars and entail additional fees for consulting, training, and systems integration, many companies are clearly struggling with the issue of return on investment (ROI).
As the survey made clear, when it comes to payback, expectations vary all over the map. At one end of the spectrum were companies that expected payback within three months (7 percent). At the other were those that were willing to wait more than three years (6 percent). The remainder expected a return within one year (23 percent), within two years (10 percent), within six months (8 percent), and within three years (5 percent). It should be noted that 38 percent of survey takers said they did not know what the time frame was for expected payback at their company.
Many companies have found that cloud-based software provides a faster ROI than the traditional on-premise deployments; in fact, 49 percent of the respondents that are using cloud software said that this deployment method had shortened payback. Because cloud solutions do not entail added costs for installation, hardware, systems integration, maintenance, and custom coding, they are generally less expensive to implement than traditional on-premise applications. The lower upfront costs translate to a quicker payback.
Given those benefits, it's probably no surprise that the percentage of users moving to the cloud has increased over last year. Forty-five percent of survey respondents said that they are using cloud deployment for at least one type of supply chain software tool compared with only 33 percent in last year's survey.
GROWING USE OF ANALYSIS
The survey underscored the growing use of software intelligence to find answers to supply chain problems as well as some of the issues that come with using these tools. Sixty-five percent of respondents said they are now using software for analysis. What's interesting is that only 32 percent are using tools especially designed for analysis. That indicates that many companies doing software analysis are taking advantage of the embedded analytics that are increasingly found in more advanced TMS, WMS, and inventory optimization (IO) packages.
When it comes to using software intelligence, almost half of those doing analysis—49 percent—use their tools for diagnostics to troubleshoot the root cause of problems. Another 43 percent use software for conducting either descriptive or predictive analytics. (Descriptive analytics represents the most basic type of software intelligence as it details and compares performance, while predictive analytics generally takes the form of demand planning tools.) Surprisingly, 39 percent said they were engaging in so-called big data analysis, which involves sifting through reams of information for operational insights. Only 12 percent were making use of prescriptive analytics, in which remedies are proposed, and 13 percent were engaged in cognitive analytics, which uses self-learning and machine intelligence technologies to mine data. (See Exhibit 2.)
As for where they're applying these tools, the survey found that the majority—63 percent of those survey respondents who are using analytics—were using them for demand planning or forecasting, a critical business issue for companies trying to determine what to manufacture and distribute. Second on the list was inventory management, another important business issue as companies must balance the cost of buffer inventory against the potential loss of revenue from a missed sale. Third on the list was transportation, an area of concern as shippers seek to control shipping costs. (See Exhibit 3 for the complete list.)
Although more companies are turning to analytics, 25 percent have yet to take the plunge and another 10 percent are unsure if their companies are making use of these capabilities. When the non-users were queried about the reasons for their hesitation, the number one reason was lack of IT support, cited by 32 percent. (See Exhibit 4.) That response is not surprising given that one of the issues bedeviling analytics right now is that many of tools are not easy to use and often require the expertise of data scientists to assist in interpreting the results. The lack of data visualization capabilities (which would allow users to see the results in the form of charts and graphs) and the need to use third-party software like Tableau to provide any type of results visualization have been factors in hindering greater adoption of analytics in business disciplines like logistics and supply chain.
THE INTEGRATION CHALLENGE
Survey takers were also asked to name the biggest challenge they face to the successful deployment of a supply chain software application. As was the case last year, the number one challenge was systems integration, cited by 28 percent. Clearly, companies still find it difficult to get disparate systems to exchange information. Next on the list was the lack of information technology (IT) resources, cited by 21 percent of respondents. Inadequate support from upper management, named by 17 percent, was the third-most-frequently cited challenge. Other key hurdles were lack of good user training, cited by 12 percent, and lack of employee acceptance, also cited by 12 percent.
Finally, the survey underscores two themes in the business world in regard to information technology that, not surprisingly, are influencing supply chain software. Companies are increasingly turning to cloud deployments for software tools to receive a faster ROI and justify the expense. And despite obstacles such as the lack of data visualization, companies are starting to apply more analytics to gain insights into their operations in an effort to cut costs and boost profits.
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."
Businesses are cautiously optimistic as peak holiday shipping season draws near, with many anticipating year-over-year sales increases as they continue to battle challenging supply chain conditions.
That’s according to the DHL 2024 Peak Season Shipping Survey, released today by express shipping service provider DHL Express U.S. The company surveyed small and medium-sized enterprises (SMEs) to gauge their holiday business outlook compared to last year and found that a mix of optimism and “strategic caution” prevail ahead of this year’s peak.
Nearly half (48%) of the SMEs surveyed said they expect higher holiday sales compared to 2023, while 44% said they expect sales to remain on par with last year, and just 8% said they foresee a decline. Respondents said the main challenges to hitting those goals are supply chain problems (35%), inflation and fluctuating consumer demand (34%), staffing (16%), and inventory challenges (14%).
But respondents said they have strategies in place to tackle those issues. Many said they began preparing for holiday season earlier this year—with 45% saying they started planning in Q2 or earlier, up from 39% last year. Other strategies include expanding into international markets (35%) and leveraging holiday discounts (32%).
Sixty percent of respondents said they will prioritize personalized customer service as a way to enhance customer interactions and loyalty this year. Still others said they will invest in enhanced web and mobile experiences (23%) and eco-friendly practices (13%) to draw customers this holiday season.
That challenge is one of the reasons that fewer shoppers overall are satisfied with their shopping experiences lately, Lincolnshire, Illinois-based Zebra said in its “17th Annual Global Shopper Study.”th Annual Global Shopper Study.” While 85% of shoppers last year were satisfied with both the in-store and online experiences, only 81% in 2024 are satisfied with the in-store experience and just 79% with online shopping.
In response, most retailers (78%) say they are investing in technology tools that can help both frontline workers and those watching operations from behind the scenes to minimize theft and loss, Zebra said.
Just 38% of retailers currently use AI-based prescriptive analytics for loss prevention, but a much larger 50% say they plan to use it in the next 1-3 years. That was followed by self-checkout cameras and sensors (45%), computer vision (46%), and RFID tags and readers (42%) that are planned for use within the next three years, specifically for loss prevention.
Those strategies could help improve the brick and mortar shopping experience, since 78% of shoppers say it’s annoying when products are locked up or secured within cases. Adding to that frustration is that it’s hard to find an associate while shopping in stores these days, according to 70% of consumers. In response, some just walk out; one in five shoppers has left a store without getting what they needed because a retail associate wasn’t available to help, an increase over the past two years.
The survey also identified additional frustrations faced by retailers and associates:
challenges with offering easy options for click-and-collect or returns, despite high shopper demand for them
the struggle to confirm current inventory and pricing
lingering labor shortages and increasing loss incidents, even as shoppers return to stores
“Many retailers are laying the groundwork to build a modern store experience,” Matt Guiste, Global Retail Technology Strategist, Zebra Technologies, said in a release. “They are investing in mobile and intelligent automation technologies to help inform operational decisions and enable associates to do the things that keep shoppers happy.”
The survey was administered online by Azure Knowledge Corporation and included 4,200 adult shoppers (age 18+), decision-makers, and associates, who replied to questions about the topics of shopper experience, device and technology usage, and delivery and fulfillment in store and online.
An eight-year veteran of the Georgia company, Hakala will begin his new role on January 1, when the current CEO, Tero Peltomäki, will retire after a long and noteworthy career, continuing as a member of the board of directors, Cimcorp said.
According to Hakala, automation is an inevitable course in Cimcorp’s core sectors, and the company’s end-to-end capabilities will be crucial for clients’ success. In the past, both the tire and grocery retail industries have automated individual machines and parts of their operations. In recent years, automation has spread throughout the facilities, as companies want to be able to see their entire operation with one look, utilize analytics, optimize processes, and lead with data.
“Cimcorp has always grown by starting small in the new business segments. We’ve created one solution first, and as we’ve gained more knowledge of our clients’ challenges, we have been able to expand,” Hakala said in a release. “In every phase, we aim to bring our experience to the table and even challenge the client’s initial perspective. We are interested in what our client does and how it could be done better and more efficiently.”
Although many shoppers will
return to physical stores this holiday season, online shopping remains a driving force behind peak-season shipping challenges, especially when it comes to the last mile. Consumers still want fast, free shipping if they can get it—without any delays or disruptions to their holiday deliveries.
One disruptor that gets a lot of headlines this time of year is package theft—committed by so-called “porch pirates.” These are thieves who snatch parcels from front stairs, side porches, and driveways in neighborhoods across the country. The problem adds up to billions of dollars in stolen merchandise each year—not to mention headaches for shippers, parcel delivery companies, and, of course, consumers.
Given the scope of the problem, it’s no wonder online shoppers are worried about it—especially during holiday season. In its annual report on package theft trends, released in October, the
security-focused research and product review firm Security.org found that:
17% of Americans had a package stolen in the past three months, with the typical stolen parcel worth about $50. Some 44% said they’d had a package taken at some point in their life.
Package thieves poached more than $8 billion in merchandise over the past year.
18% of adults said they’d had a package stolen that contained a gift for someone else.
Ahead of the holiday season, 88% of adults said they were worried about theft of online purchases, with more than a quarter saying they were “extremely” or “very” concerned.
But it doesn’t have to be that way. There are some low-tech steps consumers can take to help guard against porch piracy along with some high-tech logistics-focused innovations in the pipeline that can protect deliveries in the last mile. First, some common-sense advice on avoiding package theft from the Security.org research:
Install a doorbell camera, which is a relatively low-cost deterrent.
Bring packages inside promptly or arrange to have them delivered to a secure location if no one will be at home.
Consider using click-and-collect options when possible.
If the retailer allows you to specify delivery-time windows, consider doing so to avoid having packages sit outside for extended periods.
These steps may sound basic, but they are by no means a given: Fewer than half of Americans consider the timing of deliveries, less than a third have a doorbell camera, and nearly one-fifth take no precautions to prevent package theft, according to the research.
Tech vendors are stepping up to help. One example is
Arrive AI, which develops smart mailboxes for last-mile delivery and pickup. The company says its Mailbox-as-a-Service (MaaS) platform will revolutionize the last mile by building a network of parcel-storage boxes that can be accessed by people, drones, or robots. In a nutshell: Packages are placed into a weatherproof box via drone, robot, driverless carrier, or traditional delivery method—and no one other than the rightful owner can access it.
Although the platform is still in development, the company already offers solutions for business clients looking to secure high-value deliveries and sensitive shipments. The health-care industry is one example: Arrive AI offers secure drone delivery of medical supplies, prescriptions, lab samples, and the like to hospitals and other health-care facilities. The platform provides real-time tracking, chain-of-custody controls, and theft-prevention features. Arrive is conducting short-term deployments between logistics companies and health-care partners now, according to a company spokesperson.
The MaaS solution has a pretty high cool factor. And the common-sense best practices just seem like solid advice. Maybe combining both is the key to a more secure last mile—during peak shipping season and throughout the year as well.