The power and promise of Web-based procurement tools
Web-based spend management solutions can help companies achieve double-digit savings, but software can't do the job alone. To get the best results, companies must balance individuals' expertise with technology.
In 2009, when I wrote the white paper Riding the Crest of a New Wave: How the Original SaaS Companies Have Gained the Upper Hand, it became clear to me that a paradigm shift in vendor solutions had already been well under way as far back as 2000. The basis for this assertion was my discovery of a 2001 Software & Information Industry Association (SIIA) white paper called Strategic Backgrounder: Software as a Service.
In my own paper, I referenced SIIA's report, including its statement that "packaged desktop and enterprise applications will soon be swept away by the tide of Web-based, outsourced products and services"—a development, I wrote, that established the core principles or elements of the software-as-a-service (SaaS), or on-demand, model.
While there are various pricing structures, the SaaS model is different from traditional software licensing agreements, in that a customer only pays a transaction fee based upon actual usage, as opposed to having to make a large capital investment upfront. From an implementation standpoint, SaaS solutions can be operational within a matter of weeks, if not days. This is a major advantage over something like an enterprise-type solution, which can take up to several years to implement.
The SIIA paper concluded that the emergence of the new model would remove the responsibility for installation, maintenance, and upgrades (and the associated heavy costs) from overburdened management information systems (MIS) staff. As a result, the paper predicted, "packaged software as a separate entity will cease to exist."
Although the SIIA report stressed at the time of its publication that due to "technical and business issues" such drastic predictions had not yet come to pass, it nonetheless had sent up the first flare warning that a very significant change was about to happen.
This third-party confirmation of the SaaS trend is significant because it challenged (and still challenges) the mainstream pundits who question the viability of these new platforms. While some have begun to change their views, there are many who consider SaaS-based spend management solutions (the subject of this article) to be "nothing more than Madison Avenue buzz terminology designed to shoot some Botox into a segment of the spend management market" and think that references to the type of market shift identified by SIIA are somehow "misleading."1
This is an important point, as anyone (myself included) who takes the position that spend management solutions are capable of delivering double-digit savings—subject, of course, to an individual organization's purchasing practices, both past and present—would have to prove that the prerequisite technological breakthrough is in fact real. If, as the above-referenced pundits maintain, the new spend management solutions are nothing more than vacuous marketing "sizzle," then the prospects for savings, let alone sustained savings, become highly questionable, and the discussion would have to shift from one of leveraging new technologies to one of discovering why existing platforms have consistently failed to produce the expected results.
Not by technology alone
One of the key positions championed by the naysayers regarding SaaS-based spend management solutions is that obtaining true spend intelligence is solely dependent upon the expertise of individuals to gather, synthesize, and analyze the data, and then produce meaningful insight and results. If this is in fact the case, then why are these same "experts" hard-pressed to explain why the great majority of technology-based e-procurement initiatives fail to achieve the expected savings?
There is no shortage of articles and reports pointing to a high failure rate for spend management initiatives that are based on the traditional, enterprise resource planning (ERP)-centric licensing model. The actual rate of failure is subject to debate; some observers place it at more than 50 percent while many others say it is as high as 90 percent. The reason for the discrepancies is that most e-procurement undertakings are part of larger ERP-based implementations. This makes it difficult to narrow the analysis to a supply chain management (SCM)-only problem. That said, reports from research organizations such as the META Group (now part of Gartner), which in 2001 estimated that 70 percent of SCM technology projects had failed, to the more recent 2007 Toolbox.com article, which reported that 90 percent of such projects "fail to deliver any ROI (return on investment)," are nonetheless disconcerting.
Given that abysmal track record, it should come as no surprise that many people consider the low-cost, pay-per-use SaaS models to be the solutions of the future—or that many companies are already adopting them. The fact that some ERP vendors have abandoned their traditional business model in favor of offering an on-demand solution testifies to the monumental shift to SaaS that is now under way.
Of course the impact and effectiveness of any technological breakthrough are to a certain degree dependent upon the proper application of data to make informed decisions. Yet without the new technology, no amount of internal expertise would have produced the double-digit savings some companies that use these solutions have achieved. This is because with traditional spend management applications, the mere extraction of the required data proved to be a laborious exercise that failed to produce meaningful intelligence on a timely basis. Put another way, SaaS-based spend-intelligence solutions make meaningful data readily accessible to anyone and everyone associated with the purchasing function—not just the individuals who have the level of expertise required for data extraction and analysis with traditional software applications.
That said, it is important to note that I am not suggesting that technology, no matter how advanced, will in and of itself lead to savings without the active involvement of knowledgeable and engaged purchasing personnel. Instead, it is the combination of the timely access to spend intelligence afforded by new Web-based platforms and the ability of individual purchasing professionals to properly apply that information that drives savings.
This, as it turns out, is the linchpin—the critical factor that makes possible the transformational cost savings that have eluded so many organizations that rely on traditional ERP-based applications in their spend management quest. To illustrate my point, let's consider the case of an organization that achieved double-digit savings over a multiyear period.
The Department of National Defence (DND) in Canada struggled with poor service-level agreement performance and escalating costs associated with the procurement of indirect materials.
With the introduction to the purchasing process of a Web-based, pay-as-you-go solution, frontline buyers were able to leverage both key historical value indicators (past delivery performance and product quality) and real-time value indicators (such as current product costs and factors affecting price) to select the right vendor 98.2 percent of the time.
A particularly telling example of the impact of real-time value indicators (information that previously was not available to the DND) involves the relationship between product cost and the time of day a product was ordered. Trend analysis using the new software demonstrated that a particular maintenance and repair part that was sourced at 9:30 a.m. might cost C$130. If the same product was sourced at 3:30 p.m., it was not uncommon for the cost to rise to as much as C$1,000.
Because this data was available to buyers as part of the purchasing process (as opposed to becoming available through an adjunct, after-the-fact reporting function) the DND used this information to its advantage when making purchasing decisions, and thus realized significant gains. These included:
An almost immediate improvement in next-day delivery performance, from 53 percent to 97 percent of all orders arriving at the appointed destination within 24 hours;
A year-over-year cost-of-goods savings of 23 percent for seven consecutive years; and
A reduction in headcount over the first 18 months, from 23 buyers to three buyers.
An interesting point: despite the impressive results in the areas of delivery performance and cost reduction, it is the third point of savings that has garnered the greatest attention. In light of the DND's recent announcement that the agency would be cutting 2,300 positions from its present workforce, one can understand why.
Situational circumstances driven by external factors (such as a struggling economy) notwithstanding, it would be erroneous to assume that a reduction in headcount is a primary savings component, because technology **italic{empowers} an engaged workforce, as opposed to replacing or reducing it. This is not to say that there are no instances in which a reduction would be warranted, as demonstrated by the DND example. However, to blindly believe that automation alone will enable an organization to reduce its workforce, and do so in a window of time that is commensurate with immediate financial concerns, is pure folly.
In the DND's case, reducing headcount was a by-product of increased efficiency that had been achieved not just through automation but also through a solid understanding of the logistical elements needed to meet a service-level agreement's demanding requirements. It was only after the SaaS solution had been successfully implemented and had begun producing the expected results over a 12-month period that the organization could strategically consider eliminating personnel, and then act upon that plan.
Achieve the right balance
When organizations put workforce reduction at the top of the savings list, it negatively skews their focus, creating an over-reliance on technology that, as previously discussed, rarely delivers the expected savings.
In this context, it is the sustainable savings that are directly and predominantly linked to cost-of-goods reductions that should be the primary focus of any initiative—not the one-time benefits like reduced headcount.
So what is the key takeaway relative to SaaS, or Web-based, procurement tools?
Because Web-based spend management solutions are better able to address market volatility, and thus ensure that organizations achieve the best value when acquiring materials and supplies, they are the effective means by which double-digit savings can be realized.
However, the key to realizing said savings are and always will be based on ascertaining and achieving the all-important balance between purchasing personnel's capabilities and those of emerging Web-based technology.
Economic activity in the logistics industry expanded in November, continuing a steady growth pattern that began earlier this year and signaling a return to seasonality after several years of fluctuating conditions, according to the latest Logistics Managers’ Index report (LMI), released today.
The November LMI registered 58.4, down slightly from October’s reading of 58.9, which was the highest level in two years. The LMI is a monthly gauge of business conditions across warehousing and logistics markets; a reading above 50 indicates growth and a reading below 50 indicates contraction.
“The overall index has been very consistent in the past three months, with readings of 58.6, 58.9, and 58.4,” LMI analyst Zac Rogers, associate professor of supply chain management at Colorado State University, wrote in the November LMI report. “This plateau is slightly higher than a similar plateau of consistency earlier in the year when May to August saw four readings between 55.3 and 56.4. Seasonally speaking, it is consistent that this later year run of readings would be the highest all year.”
Separately, Rogers said the end-of-year growth reflects the return to a healthy holiday peak, which started when inventory levels expanded in late summer and early fall as retailers began stocking up to meet consumer demand. Pandemic-driven shifts in consumer buying behavior, inflation, and economic uncertainty contributed to volatile peak season conditions over the past four years, with the LMI swinging from record-high growth in late 2020 and 2021 to slower growth in 2022 and contraction in 2023.
“The LMI contracted at this time a year ago, so basically [there was] no peak season,” Rogers said, citing inflation as a drag on demand. “To have a normal November … [really] for the first time in five years, justifies what we’ve seen all these companies doing—building up inventory in a sustainable, seasonal way.
“Based on what we’re seeing, a lot of supply chains called it right and were ready for healthy holiday season, so far.”
The LMI has remained in the mid to high 50s range since January—with the exception of April, when the index dipped to 52.9—signaling strong and consistent demand for warehousing and transportation services.
The LMI is a monthly survey of logistics managers from across the country. It tracks industry growth overall and across eight areas: inventory levels and costs; warehousing capacity, utilization, and prices; and transportation capacity, utilization, and prices. The report is released monthly by researchers from Arizona State University, Colorado State University, Rochester Institute of Technology, Rutgers University, and the University of Nevada, Reno, in conjunction with the Council of Supply Chain Management Professionals (CSCMP).
Grocers and retailers are struggling to get their systems back online just before the winter holiday peak, following a software hack that hit the supply chain software provider Blue Yonder this week.
The ransomware attack is snarling inventory distribution patterns because of its impact on systems such as the employee scheduling system for coffee stalwart Starbucks, according to a published report. Scottsdale, Arizona-based Blue Yonder provides a wide range of supply chain software, including warehouse management system (WMS), transportation management system (TMS), order management and commerce, network and control tower, returns management, and others.
Blue Yonder today acknowledged the disruptions, saying they were the result of a ransomware incident affecting its managed services hosted environment. The company has established a dedicated cybersecurity incident update webpage to communicate its recovery progress, but it had not been updated for nearly two days as of Tuesday afternoon. “Since learning of the incident, the Blue Yonder team has been working diligently together with external cybersecurity firms to make progress in their recovery process. We have implemented several defensive and forensic protocols,” a Blue Yonder spokesperson said in an email.
The timing of the attack suggests that hackers may have targeted Blue Yonder in a calculated attack based on the upcoming Thanksgiving break, since many U.S. organizations downsize their security staffing on holidays and weekends, according to a statement from Dan Lattimer, VP of Semperis, a New Jersey-based computer and network security firm.
“While details on the specifics of the Blue Yonder attack are scant, it is yet another reminder how damaging supply chain disruptions become when suppliers are taken offline. Kudos to Blue Yonder for dealing with this cyberattack head on but we still don’t know how far reaching the business disruptions will be in the UK, U.S. and other countries,” Lattimer said. “Now is time for organizations to fight back against threat actors. Deciding whether or not to pay a ransom is a personal decision that each company has to make, but paying emboldens threat actors and throws more fuel onto an already burning inferno. Simply, it doesn’t pay-to-pay,” he said.
The incident closely followed an unrelated cybersecurity issue at the grocery giant Ahold Delhaize, which has been recovering from impacts to the Stop & Shop chain that it across the U.S. Northeast region. In a statement apologizing to customers for the inconvenience of the cybersecurity issue, Netherlands-based Ahold Delhaize said its top priority is the security of its customers, associates and partners, and that the company’s internal IT security staff was working with external cybersecurity experts and law enforcement to speed recovery. “Our teams are taking steps to assess and mitigate the issue. This includes taking some systems offline to help protect them. This issue and subsequent mitigating actions have affected certain Ahold Delhaize USA brands and services including a number of pharmacies and certain e-commerce operations,” the company said.
Editor's note:This article was revised on November 27 to indicate that the cybersecurity issue at Ahold Delhaize was unrelated to the Blue Yonder hack.
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."
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.
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.