The growing adoption of supply chain applications in the cloud and of those offered by the big ERP vendors will have a significant impact on supply chain technology over the next three years.
For the past six years, Gartner has conducted a research study of supply chain technology use. That study asks supply chain professionals to identify their key priorities now and in the future, cite barriers to success, quantify their business challenges, and describe how they exploit technology in their businesses.
[Figure 1] Lack of functional parity limits SCM SaaS adoption, but growth continuesEnlarge this image
Growing demand for cloud services
Cloud computing is becoming a significant force in supply chain applications, and Gartner believes that by 2016 more than 40 percent of new logistics applications will be delivered via the cloud.
In this context, "the cloud" can mean several things. It can mean providing on-demand access to an application, or it can be a pure multitenant, software-as-a-service (SaaS) application where there is a single instance of the software used by multiple customers simultaneously. There are also variants on the idea of a "private cloud" hosted by either a user or a vendor and involving a single instance of the software dedicated to a single customer.
Consistent with the larger trend within the information technology (IT) market, there has been growth over the past three years in the number of supply chain solutions that are cloud-based (public or private). At the same time, Gartner has seen the preference for sourcing new applications via the traditional on-premise approach decline from a high of 70 percent in 2010 to around 55 percent in 2012.
Despite this growing interest, cloud computing within supply chain management (SCM) is still relatively nascent and has a lower level of penetration than in areas like customer relationship management (CRM) or indirect procurement offerings. However, our research finds a significant intent by companies to source SCM applications through a SaaS model in the future. The most significant driver for the increase in SaaS adoption, according to the survey, is the desire to reduce upfront investment costs.
Gartner has also found that adoption level varies depending on the process complexity, degree of process sophistication, and size of the enterprise. Large, complex enterprises continue to favor traditional on-premise applications, although interest in the cloud is developing. Some of this is driven by large companies' propensity to want high degrees of control and customization/personalization. Small and mid-size businesses (SMBs), on the other hand, have largely made the transition to the cloud. For these organizations the benefits are the perceived time to value, low upfront capital investment, and the ability to shift much of the application maintenance to the cloud provider. Growth will come from more SMBs seeking cloud offerings as well as from large organizations changing their opinions of the cloud.
In our study, Gartner was also able to stratify responses based on various factors. One of the dimensions is "information technology adoption profile." Aggressive adopters of IT tend to be innovators, relatively risk-tolerant, and the first to embrace new concepts. Mainstream companies wait for technologies to become commercially viable because they tend to be more risk-averse, and they want to see evidence of success among companies like themselves. Conservative companies tend to be late adopters of technology; they are risk avoiders and wait for markets to mature and consolidate.
Gartner found notable differences in cloud adoption levels based on a company's IT adoption profile. Conservative organizations are still reluctant to embrace the cloud, preferring on-premise and hosting options. Aggressive adopters of IT, however, are more inclined to consider various cloud delivery approaches. Finally, mainstream companies are the most likely of the three to favor multitenant SaaS applications, which, given their risk profiles, suggests that concerns with cloud viability are waning. (See Figure 1 for current adoption rates and respondents' projections for 2015.)
Rise of the "mega-suite"
The second major trend is the emerging dominance of application mega-suite vendors such as SAP, Oracle, and Infor. Our data indicates that if these vendors continue on their current growth trajectories, they will command more than half of the market for logistics applications. The mega-suite vendors continue to invest in their logistics and supply chain management capabilities. While they might not have achieved "best-of-breed" status in each SCM application category, they do offer solid and reliable capabilities across the SCM application domain. This includes warehousing, transportation, planning, manufacturing, and sourcing and procurement. This is not to say that best-of-breed vendors are all dead. Rather, it just means that those customers that need only "good enough" capabilities will likely find offerings from the mega-suite vendors to be sufficient. To survive, best-of-breed vendors will have to be thought leaders and on the forefront of innovation.
In our study, Gartner wanted to determine how willing businesses would be to adopt enterprise resource planning (ERP) suite offerings. Respondents were asked to identify the likelihood of acquiring technology from their ERP provider versus a best-of-breed provider. While many specialized vendors continue to execute well, the study showed a notable preference toward ERP suite providers today.
The study found significant interest in leveraging ERP solutions when their features and functionality are comparable to best-of-breeds or "good enough" for the needed environment. The study seems to suggest that most respondents are selecting solutions that are "good enough" or support an ERP platform strategy rather than ones that are considered to be cutting-edge.
Indeed, ERP suites are preferred by businesses that consider themselves below-average (67 percent), average (77 percent), or above-average (74 percent). Businesses that consider themselves to be leaders, however, are more likely to prefer a best-of-breed approach. Within the leaders category, 56 percent indicated that, in general, an ERP platform was their preference, while 26 percent preferred a best-of-breed approach, where the focus is on differentiation and where functionality becomes the most important factor. The remainder of the respondents were indifferent. The leaders' preference for best-of-breed vendors was close to triple that of other organizations, which is one reason these organizations are often differentiated in their industries.
Business change is pervasive, and the pace is accelerating. In previous Gartner studies, almost 90 percent of companies indicated that the impact of change was growing, and they must develop business and IT strategies that are responsive and adaptive to change. At the same time, companies continue to live under financial pressures, so they need to invest their IT resources wisely.
Both of the above trends—cloud and the growing dominance of mega-suite vendors—are driven by these demands. Cloud is proving to be a means for companies to invest in newer solutions with less upfront capital, and it allows them to shift some of the burden of application management to the vendor, which will allow them to do more with less. Similarly the mega-suite vendors are now a force in SCM applications, as they offer many organizations the opportunity to more easily enhance their supply chain management processes by extending the reach of software that they already have in place. While neither is a panacea, companies that are considering upgrading their SCM portfolios should consider both of these strategies.
Benefits for Amazon's customers--who include marketplace retailers and logistics services customers, as well as companies who use its Amazon Web Services (AWS) platform and the e-commerce shoppers who buy goods on the website--will include generative AI (Gen AI) solutions that offer real-world value, the company said.
The launch is based on “Amazon Nova,” the company’s new generation of foundation models, the company said in a blog post. Data scientists use foundation models (FMs) to develop machine learning (ML) platforms more quickly than starting from scratch, allowing them to create artificial intelligence applications capable of performing a wide variety of general tasks, since they were trained on a broad spectrum of generalized data, Amazon says.
The new models are integrated with Amazon Bedrock, a managed service that makes FMs from AI companies and Amazon available for use through a single API. Using Amazon Bedrock, customers can experiment with and evaluate Amazon Nova models, as well as other FMs, to determine the best model for an application.
Calling the launch “the next step in our AI journey,” the company says Amazon Nova has the ability to process text, image, and video as prompts, so customers can use Amazon Nova-powered generative AI applications to understand videos, charts, and documents, or to generate videos and other multimedia content.
“Inside Amazon, we have about 1,000 Gen AI applications in motion, and we’ve had a bird’s-eye view of what application builders are still grappling with,” Rohit Prasad, SVP of Amazon Artificial General Intelligence, said in a release. “Our new Amazon Nova models are intended to help with these challenges for internal and external builders, and provide compelling intelligence and content generation while also delivering meaningful progress on latency, cost-effectiveness, customization, information grounding, and agentic capabilities.”
The new Amazon Nova models available in Amazon Bedrock include:
Amazon Nova Micro, a text-only model that delivers the lowest latency responses at very low cost.
Amazon Nova Lite, a very low-cost multimodal model that is lightning fast for processing image, video, and text inputs.
Amazon Nova Pro, a highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks.
Amazon Nova Premier, the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models
Amazon Nova Canvas, a state-of-the-art image generation model.
Amazon Nova Reel, a state-of-the-art video generation model that can transform a single image input into a brief video with the prompt: dolly forward.
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).
"After several years of mitigating inflation, disruption, supply shocks, conflicts, and uncertainty, we are currently in a relative period of calm," John Paitek, vice president, GEP, said in a release. "But it is very much the calm before the coming storm. This report provides procurement and supply chain leaders with a prescriptive guide to weathering the gale force headwinds of protectionism, tariffs, trade wars, regulatory pressures, uncertainty, and the AI revolution that we will face in 2025."
A report from the company released today offers predictions and strategies for the upcoming year, organized into six major predictions in GEP’s “Outlook 2025: Procurement & Supply Chain.”
Advanced AI agents will play a key role in demand forecasting, risk monitoring, and supply chain optimization, shifting procurement's mandate from tactical to strategic. Companies should invest in the technology now to to streamline processes and enhance decision-making.
Expanded value metrics will drive decisions, as success will be measured by resilience, sustainability, and compliance… not just cost efficiency. Companies should communicate value beyond cost savings to stakeholders, and develop new KPIs.
Increasing regulatory demands will necessitate heightened supply chain transparency and accountability. So companies should strengthen supplier audits, adopt ESG tracking tools, and integrate compliance into strategic procurement decisions.
Widening tariffs and trade restrictions will force companies to reassess total cost of ownership (TCO) metrics to include geopolitical and environmental risks, as nearshoring and friendshoring attempt to balance resilience with cost.
Rising energy costs and regulatory demands will accelerate the shift to sustainable operations, pushing companies to invest in renewable energy and redesign supply chains to align with ESG commitments.
New tariffs could drive prices higher, just as inflation has come under control and interest rates are returning to near-zero levels. That means companies must continue to secure cost savings as their primary responsibility.
Specifically, 48% of respondents identified rising tariffs and trade barriers as their top concern, followed by supply chain disruptions at 45% and geopolitical instability at 41%. Moreover, tariffs and trade barriers ranked as the priority issue regardless of company size, as respondents at companies with less than 250 employees, 251-500, 501-1,000, 1,001-50,000 and 50,000+ employees all cited it as the most significant issue they are currently facing.
“Evolving tariffs and trade policies are one of a number of complex issues requiring organizations to build more resilience into their supply chains through compliance, technology and strategic planning,” Jackson Wood, Director, Industry Strategy at Descartes, said in a release. “With the potential for the incoming U.S. administration to impose new and additional tariffs on a wide variety of goods and countries of origin, U.S. importers may need to significantly re-engineer their sourcing strategies to mitigate potentially higher costs.”
Freight transportation providers and maritime port operators are bracing for rough business impacts if the incoming Trump Administration follows through on its pledge to impose a 25% tariff on Mexico and Canada and an additional 10% tariff on China, analysts say.
Industry contacts say they fear that such heavy fees could prompt importers to “pull forward” a massive surge of goods before the new administration is seated on January 20, and then quickly cut back again once the hefty new fees are instituted, according to a report from TD Cowen.
As a measure of the potential economic impact of that uncertain scenario, transport company stocks were mostly trading down yesterday following Donald Trump’s social media post on Monday night announcing the proposed new policy, TD Cowen said in a note to investors.
But an alternative impact of the tariff jump could be that it doesn’t happen at all, but is merely a threat intended to force other nations to the table to strike new deals on trade, immigration, or drug smuggling. “Trump is perfectly comfortable being a policy paradox and pushing competing policies (and people); this ‘chaos premium’ only increases his leverage in negotiations,” the firm said.
However, if that truly is the new administration’s strategy, it could backfire by sparking a tit-for-tat trade war that includes retaliatory tariffs by other countries on U.S. exports, other analysts said. “The additional tariffs on China that the incoming US administration plans to impose will add to restrictions on China-made products, driving up their prices and fueling an already-under-way surge in efforts to beat the tariffs by importing products before the inauguration,” Andrei Quinn-Barabanov, Senior Director – Supplier Risk Management solutions at Moody’s, said in a statement. “The Mexico and Canada tariffs may be an invitation to negotiations with the U.S. on immigration and other issues. If implemented, they would also be challenging to maintain, because the two nations can threaten the U.S. with significant retaliation and because of a likely pressure from the American business community that would be greatly affected by the costs and supply chain obstacles resulting from the tariffs.”
New tariffs could also damage sensitive supply chains by triggering unintended consequences, according to a report by Matt Lekstutis, Director at Efficio, a global procurement and supply chain procurement consultancy. “While ultimate tariff policy will likely be implemented to achieve specific US re-industrialization and other political objectives, the responses of various nations, companies and trading partners is not easily predicted and companies that even have little or no exposure to Mexico, China or Canada could be impacted. New tariffs may disrupt supply chains dependent on just in time deliveries as they adjust to new trade flows. This could affect all industries dependent on distribution and logistics providers and result in supply shortages,” Lekstutis said.