In the past, fear of change kept many companies from pursuing a digital transformation effort. Now, after the pandemic wreaked 20 months of unplanned change on their supply chains, more companies are embracing new technologies.
What’s the biggest obstacle to any major initiative such as digitally transforming your supply chain operations? In many cases, it’s the fear of change. Consider: In late 2019, ToolsGroup conducted a global survey looking at the state of companies’ digital transformation efforts in supply chain planning. How far along were they in implementing technologies such as artificial intelligence, machine learning, the internet of things (IoT), and digital assistants to the planning process? At that time, we found that 30% of respondents believed that the fear of change was holding back their efforts.1
Since then, the most ruthless unplanned change imaginable swept the globe, decimating some industries while creating unprecedented opportunities in others. Supply chain disruptions happened from difficulty procuring raw material on one end to radically changing customer behaviors on the other. Most organizations had to adapt, and fast. While some were threatened by declining business, others stood to lose out by failing to capitalize on demand spikes and other big changes in consumer behavior.
So, what happens when the planned change of a digital supply chain transformation effort meets the unplanned change of a global pandemic? To find out, we decided to revisit our study. In collaboration with the Council of Supply Chain Management Professionals (CSCMP), we launched a new version of the global survey called “Digital Transformation in Supply Chain Planning: 2021.”
We sent it out in January 2021 to 289 supply chain executives, managers, and planners/practitioners from manufacturing, retail, consumer packaged goods, aftermarket parts, wholesale-distribution, and third-party logistics services (3PL) firms, as well as consulting organizations. We received back 211 usable responses. Of those we surveyed, 74% said that changes wrought by the COVID crisis had influenced their digital supply chain planning transformations.
Our research led us to conclude that many organizations this past year were driven to quickly implement digital supply chain solutions by necessity, rather than invention. The unplanned change of the pandemic helped push many companies past their fear of leading a planned digital change effort.
Jump start the revolution
Most survey respondents said that the pandemic affected their business to some extent. This was primarily by exposing process vulnerabilities (49%), causing supplier instability (45%), and increasing demand for their products and services (45%). Declining demand (31%) and staffing shortages (30%) also affected many firms. Only 3% of respondents said the pandemic has had no effect on their business.
In many cases, the pressures that COVID put on their supply chains prompted companies to reprioritize their investments in digitization. Forty-two percent of respondents said that the pandemic accelerated their supply chains’ digital transformation, while 17% said the pandemic shifted their organizations’ digitization priorities in some way. (See Figure 1.)
[Figure 1] How has the COVID-19 pandemic influenced your supply chain digitization strategy Enlarge this image
In our original survey in 2019, we found that a full two-thirds of the respondents had not yet executed a digital transformation of their supply chain planning process. They were either not yet pursuing a digital strategy or were only in the early stages of the transformation effort—exploring and evaluating technologies and trying to gain organizational support. (See the sidebar for more information on the different stages of a digital transformation.) Only 7% of respondents said they were reaping the benefits of a digital transformation. This time around, however, a higher percentage of organizations (12%) reported that they were already reaping the benefits of digital transformation. (See Figure 2.)
[Figure 2] What stage of the supply chain planning digital transformation journey would you say your organization is in? Enlarge this image
One key factor that seems to correlate to how far along companies are in their transformation efforts is executive involvement. Half of the firms in the “reaping the benefits” stage say their transformation is being led by their CEO. In contrast, the majority of those not pursuing a strategy say their digitization efforts are being led by line-of-business managers.
Digital defense
Unsurprisingly, it’s the more mature, digitally transformed supply chains that have weathered the storm of the pandemic most successfully. Fifty-four percent of the companies in the “reaping the benefits” group said that they were managing COVID-related demand and supplier uncertainty “very well.” In comparison only 13% of those in the “evaluating” and “not pursuing” stages reported handling this area “very well.” This finding suggests that digital technologies and processes can help companies better manage disruptions.
Through our customers and partners, we’ve been able to see firsthand how much more resilient digitally mature companies were during the pandemic. For example, during the first COVID spike, an alcoholic beverage distributor was concerned that sales would plummet because consumers would no longer be able to drink in bars and restaurants. Fortunately, this company had been using advanced planning software to sense demand day-by-day at the stock-keeping unit (SKU) and point-of-sale level. By the start of March 2020, the system sensed a major shift in demand from “out-of-home” channels (restaurants and bars) to retail channels (supermarkets and corner shops). This was essentially a shift from business-to-business (B2B) to business-to-consumer (B2C) channels. Having sensed this change, the system started revising its March–June projections accordingly.
At first the planners were skeptical as the forecast looked almost too good to believe. However, the forecasts produced by the system for July–November were nearly perfect, increasing the team’s trust not only in the system but also the data model.
Obstacles to transformation
While the COVID-19 pandemic provided a strong impetus for companies to embrace new technologies, obstacles to digital transformation still remain. The biggest one this year has been that companies lack the skills needed to implement a digital transformation. This is understandable as digital transformations require advanced skills such as change management, negotiation, and decision-making, along with the traditional technical planning skills.
This awareness of a skills deficit has grown greatly since 2019. This year, 41% of respondents said that a skills deficit stood in the way of their company implementing its digital transformation plans; in 2019, that number was 23%. Part of that jump may be due to where companies are in the transformation journey. Skills deficits often rank as the highest obstacle for those in the early phases of transformation as companies are just beginning to assess the skills they will need to execute and reap the benefits of improvement. Given that 60% of organizations are still at pre-execution (not pursuing, exploring, evaluating, or gaining organizational support) stages of maturity, it seems likely that the skills deficit is a problem that is only going to get worse before it gets better.
Additionally, more respondents this year said that data quality/lack of data was a big obstacle to their transformation efforts than in the last survey: 34% in 2021 versus 25% in 2019. This figure’s growth is likely because more organizations have accelerated their transformation programs and have been forced to confront their data issues.
Different stages, different challenges
Our research also revealed that organizations face different types of challenges depending on where they are on their digital transformation journey:
Companies not pursuing a transformation strategy are most likely to cite fear of change, lack of data, or a lack of investment as issues that are holding them back.
Companies in the “exploring” phase are most likely to cite skills deficits as they struggle to develop a transformation strategy.
Companies in the “evaluating” phase list three key challenges: risk aversion, lack of data, and skills deficits.
Companies in the “gaining support” phase say fear of change is a top issue, as is the fear that they can’t prove a business case for transformation.
Companies in the “executing” phase cite a lack of data as a key obstacle to moving forward. This makes sense because it is at this stage when data hygiene issues become most apparent and troublesome.
For sure, digital transformation isn’t easy and there are many roadblocks along the way. However, as we mentioned, our survey showed a clear correlation between digital transformation maturity and the ability to manage COVID-related demand and supply uncertainty and disruptions. Unfortunately for 16% of respondents, the pandemic caused them to either delay their transformation plans or put them on hold.
We would urge every organization whose digital transformation efforts are stalled to redouble their efforts to get them back on track. The COVID effect may be waning, but more disruptions are inevitable. The results of our two surveys so far, along with countless anecdotes from our customers and partners around the world, leads us to one stark conclusion: You can either be the architect of change in your organization or a victim of it.
Notes:
1. Caroline Proctor and Gregory Fowler, “Digital Transformation in Supply Chain—On Pace or At Risk?” Supply and Demand Chain Executive (December 2019) pp. 10–15.
The six stages of a digital transformation
As part of the survey, we asked respondents to characterize where their company was in its digital transformation efforts. We divided the transformation effort into six stages:
Not pursuing: In this stage, the company is currently not investigating the use of digital technologies for supply chain planning.
Exploring: This stage involves establishing the catalyst for change and ranking ideas by how well they fit existing business and supply chain strategies, organizational capabilities, and the needs of the customer.
Evaluating: These companies are actively evaluating digital solutions, sometimes in a hands-on way.
Gaining broad organizational support: This stage involves getting funding for a transformation effort and securing broad support from the supply chain organization. Organizational work is also being done such as setting up steering committees.
Executing: At this stage, the company is implementing and deploying technology and trying to get people to adopt the required processes and tools.
Reaping the benefits: Here the company has shifted to continuous improvement projects to scale and capture the full benefits of the digital transformation.
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).
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.”
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."
A growing number of organizations are identifying ways to use GenAI to streamline their operations and accelerate innovation, using that new automation and efficiency to cut costs, carry out tasks faster and more accurately, and foster the creation of new products and services for additional revenue streams. That was the conclusion from ISG’s “2024 ISG Provider Lens global Generative AI Services” report.
The most rapid development of enterprise GenAI projects today is happening on text-based applications, primarily due to relatively simple interfaces, rapid ROI, and broad usefulness. Companies have been especially aggressive in implementing chatbots powered by large language models (LLMs), which can provide personalized assistance, customer support, and automated communication on a massive scale, ISG said.
However, most organizations have yet to tap GenAI’s potential for applications based on images, audio, video and data, the report says. Multimodal GenAI is still evolving toward mainstream adoption, but use cases are rapidly emerging, and with ongoing advances in neural networks and deep learning, they are expected to become highly integrated and sophisticated soon.
Future GenAI projects will also be more customized, as the sector sees a major shift from fine-tuning of LLMs to smaller models that serve specific industries, such as healthcare, finance, and manufacturing, ISG says. Enterprises and service providers increasingly recognize that customized, domain-specific AI models offer significant advantages in terms of cost, scalability, and performance. Customized GenAI can also deliver on demands like the need for privacy and security, specialization of tasks, and integration of AI into existing operations.