Change management: An existential supply chain capability?
As technology advances and disruptions multiply, third-party logistics providers and shippers must continue to work together to respond and adapt to change.
C. John Langley Jr., Ph.D. (jlangley@psu.edu) is Professor of Supply Chain Management at Penn State University’s Smeal College of Business and the Department of Supply Chain and Information Systems, and Founder of the “Annual Third-Party Logistics Study.”
Supply chains are subjected to constant change, and the most recent five years have forced supply chain professionals to navigate unprecedented issues, adapt to shifting demand patterns, and deal with unanticipated volatility and, to some extent, “black swan” events.
As a result, change management has become an essential capability to help improve supply chain operations, support collaboration both internally and with external partners, deploy new technology, and adapt to sometimes continually changing market pressures. Recognizing this importance, the 2025 Annual Third-Party Logistics Study (www.3PLStudy.com) took an in-depth look at change management. The majority of respondents to the study’s global survey—61% of shippers and 73% of 3PLs—reported that the need for supply chain change management is either critical or significant.
Shippers says that the biggest drivers of change in their supply chain organizations are customer demands, economic factors, and technological advancements.
2025 Annual Third-Party Logistics Study
Figure 1 above focuses on several factors that were identified as likely drivers of change in supply chains. Among shippers, the biggest drivers of change in their supply chain organizations included customer demands, economic factors, and technological advancements. Other factors included supplier considerations, societal shifts, and labor restraints. 3PL responses were similar to shippers’ except 3PLs ranked labor restraints as the fourth most important driver of change.
The study also asked respondents to identify areas in need of change. The most-identified area was supply chain visibility, cited by 69% of shippers and 68% of 3PLs. Technology, planning, and relationships also ranked highly.
Respondents also reported varying degrees of receptivity to change. About one-fourth of shippers and 3PLs said they are extremely receptive to change, while 45% of shippers and 53% of 3PLs said their organizations are moderately receptive to change.
AI underscores need for change management
Most supply chain professionals agree that the need to embrace change is likely to continue to increase. Technology is advancing rapidly, and artificial intelligence (AI) and machine learning are creating new opportunities to increase efficiency, improve decision-making, and optimize operations within the supply chain.
Among the many pertinent messages that received attention at the 2024 CSCMP EDGE Supply Chain Conference and Exhibition was that nearly every aspect of the supply chain will be involved with or impacted by AI. Example areas where significant improvements and results may be achieved include demand forecasting, inventory management, warehouse operations, predictive equipment maintenance, supplier relationship management, and more. As a result, AI may bring change to nearly every aspect of supply chain management and every level of employee.
This year’s 3PL study also focused on the growing role of AI in supply chains. Shippers and 3PLs are aligned on the top use cases for AI, with supply and demand forecasting and transportation and route optimization ranking at the top. Order management also ranked highly for both groups, while 3PLs see a slightly higher use case for warehouse automation than do shippers.
Both groups are also aligned on their view of AI as a tool that can automate data analysis, identify patterns, solve problems, and automate repetitive and mundane tasks. The hope is that AI will help companies better use their data to make improved and informed decisions. AI can process data and identify patterns and repetitive operational issues faster than a human can, which can improve forecasting, uncover inefficiencies, optimize processes, make predictions, and increase resiliency. Machine learning, a subset of AI, is expected to be especially useful for solving complex logistics problems by refining its predictions and recommendations over time to create more efficient operations.
Shippers and 3PLs agree that the greatest return on investment from AI will come from service-level improvements—cited by 40% of shippers and 37% of 3PLs—as well as data accuracy, cited by 34% of shippers and 39% of 3PLs.
Given the potential benefits of AI, shippers will increasingly be looking for 3PLs that offer AI solutions that they can use to achieve reliable results and gain a competitive advantage. Nearly three-quarters of shippers said 3PLs’ use of AI would influence their choice of a 3PL partner. On a more granular basis, 13% of shippers reported that they are very likely to switch 3PL providers based on their AI capabilities, 29% said they are likely, and 32% said they are somewhat likely to switch 3PL providers based on their AI capabilities. As demand for AI-based solutions increases, 3PL offerings will evolve, further exacerbating the change that supply chain organizations are experiencing.
Realizing benefits from change management
While the ability to manage change is critical to survival, so too is the ability to determine when change may be needed. To determine whether they need to change, companies should start by assessing their current state and opportunities for improvement. Next, they need to identify the desired state and benefits of change. To help drive success, the change management strategy should create a vision, identify solutions, and develop a plan for change.
For successful change to occur, stakeholders must work together to operate as a systematic supply chain rather than working as individuals with departmental goals that may not align. It is also critical to gain support for the change initiative among those who may be involved. Educating stakeholders about the need for change, creating a clear vision of what the change will accomplish, and outlining the benefits can help build support.
Many companies have found that using a structured change management process can reduce resistance to change, improve communication, and increase the likelihood of success. In the study, 58% of shippers and 76% of 3PLs reported using a change management framework. The two most frequently cited frameworks used by both shippers and 3PLs were the McKinsey 7-S (which identifies seven factors that influence an organization’s ability to change) and the ADKAR change management model (awareness, desire, knowledge, ability, and reinforcement). Use of an in-house proprietary system was cited by 36% of shippers and 29% of 3PLs.
The good news for those in supply chain is that key stakeholders are dedicated to minimizing disruptions, enhancing agility, and ensuring long-term success. In this year’s study, 89% of shippers reported that they are committed to the success of the broader, end-to-end (E2E) supply chain. It is clear that shippers sense a deep commitment to the broader concept of supply chain management and recognize the need to align themselves with multiple supply chain participants to create value for their end-user customers and consumers. What’s more, 64% of shippers reported that their 3PLs share this commitment to the E2E concept, and 69% indicated that some of their 3PLs are involved with their change management processes. Also encouraging is that 77% of shippers agree that their 3PLs are enthusiastic about joint efforts relating to change management.
In the complex and ever-evolving world of supply chains, change is inevitable. With effective change management practices in place, shippers and 3PLs can navigate these changes with greater confidence and turn them into opportunities for growth and improvement.
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.
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.
The practice consists of 5,000 professionals from Accenture and from Avanade—the consulting firm’s joint venture with Microsoft. They will be supported by Microsoft product specialists who will work closely with the Accenture Center for Advanced AI. Together, that group will collaborate on AI and Copilot agent templates, extensions, plugins, and connectors to help organizations leverage their data and gen AI to reduce costs, improve efficiencies and drive growth, they said on Thursday.
Accenture and Avanade say they have already developed some AI tools for these applications. For example, a supplier discovery and risk agent can deliver real-time market insights, agile supply chain responses, and better vendor selection, which could result in up to 15% cost savings. And a procure-to-pay agent could improve efficiency by up to 40% and enhance vendor relations and satisfaction by addressing urgent payment requirements and avoiding disruptions of key services
Likewise, they have also built solutions for clients using Microsoft 365 Copilot technology. For example, they have created Copilots for a variety of industries and functions including finance, manufacturing, supply chain, retail, and consumer goods and healthcare.
Another part of the new practice will be educating clients how to use the technology, using an “Azure Generative AI Engineer Nanodegree program” to teach users how to design, build, and operationalize AI-driven applications on Azure, Microsoft’s cloud computing platform. The online classes will teach learners how to use AI models to solve real-world problems through automation, data insights, and generative AI solutions, the firms said.
“We are pleased to deepen our collaboration with Accenture to help our mutual customers develop AI-first business processes responsibly and securely, while helping them drive market differentiation,” Judson Althoff, executive vice president and chief commercial officer at Microsoft, said in a release. “By bringing together Copilots and human ambition, paired with the autonomous capabilities of an agent, we can accelerate AI transformation for organizations across industries and help them realize successful business outcomes through pragmatic innovation.”
Census data showed that overall retail sales in October were up 0.4% seasonally adjusted month over month and up 2.8% unadjusted year over year. That compared with increases of 0.8% month over month and 2% year over year in September.
October’s core retail sales as defined by NRF — based on the Census data but excluding automobile dealers, gasoline stations and restaurants — were unchanged seasonally adjusted month over month but up 5.4% unadjusted year over year.
Core sales were up 3.5% year over year for the first 10 months of the year, in line with NRF’s forecast for 2024 retail sales to grow between 2.5% and 3.5% over 2023. NRF is forecasting that 2024 holiday sales during November and December will also increase between 2.5% and 3.5% over the same time last year.
“October’s pickup in retail sales shows a healthy pace of spending as many consumers got an early start on holiday shopping,” NRF Chief Economist Jack Kleinhenz said in a release. “October sales were a good early step forward into the holiday shopping season, which is now fully underway. Falling energy prices have likely provided extra dollars for household spending on retail merchandise.”
Despite that positive trend, market watchers cautioned that retailers still need to offer competitive value propositions and customer experience in order to succeed in the holiday season. “The American consumer has been more resilient than anyone could have expected. But that isn’t a free pass for retailers to under invest in their stores,” Nikki Baird, VP of strategy & product at Aptos, a solutions provider of unified retail technology based out of Alpharetta, Georgia, said in a statement. “They need to make investments in labor, customer experience tech, and digital transformation. It has been too easy to kick the can down the road until you suddenly realize there’s no road left.”
A similar message came from Chip West, a retail and consumer behavior expert at the marketing, packaging, print and supply chain solutions provider RRD. “October’s increase proved to be slightly better than projections and was likely boosted by lower fuel prices. As inflation slowed for a number of months, prices in several categories have stabilized, with some even showing declines, offering further relief to consumers,” West said. “The data also looks to be a positive sign as we kick off the holiday shopping season. Promotions and discounts will play a prominent role in holiday shopping behavior as they are key influencers in consumer’s purchasing decisions.”