11 critical competencies supply chain planners need now (and how to develop them)
The knowledge, skills, and attitudes that today’s planning professionals require differ from those of just a few years ago. Companies must be more proactive in providing educational opportunities and creating processes, metrics, and incentives that build professionals’ competencies and contribute to developing tomorrow’s planning leaders.
The pandemic exposed some hard truths about the state of supply chain planning. Significant gaps in employee competencies, a shortage of empowered senior leaders, and insufficient organizational support severely constrained many companies’ responses to the worldwide crisis. Leading companies have taken those lessons to heart and are now making supply chain planning a strategic priority.
Consider the experience of one multinational IT infrastructure company. The supply chain had established disciplines within its traditional functions. But the planning competencies needed to coordinate across functions and manage technology changes were severely lacking. As a senior supply chain manager related: “The company faced 20x our normal level of disruption during the pandemic. The volume of information needed to manage that much disruption was intense. So was the amount of cross-functional coordination.” Managers also struggled to communicate the larger, strategic impact of planning to senior leadership. “At the end of the day, you can only sell what you can get,” the manager said. “The big lesson for us coming out of the pandemic was that planning is much more than scheduling.”
Supply chain planning refers to a set of iterative, interconnected decisions aimed at continuously aligning company capacity, inventory, and other assets to maximize profits. It integrates a range of decisions across different time horizons: from longer-term optimization of global supply networks to near-term scheduling of deliveries. Figure 1 provides an overview of the different processes involved in supply chain planning.
FIGURE 1: Planning framework
Senior executives are looking to planners to lead key initiatives from innovation and digitization to agility and risk management. Our team at the University of Tennessee–Knoxville’s Advanced Supply Chain Collaborative (ASCC) has been working to define the planning talent and leadership development needed to meet these new expectations. (For additional information about the ASCC, see the sidebar below.)
Next-generation planning talent
Our findings suggest planning competencies need to evolve beyond traditional technical skills to include a broad array of social and personal strengths. Our team identified 11 planning competencies (see Figure 2) that reflect this evolution:
FIGURE 2: The 11 core competencies of supply chain planning
Ambiguity tolerance. The ability to act effectively in situations where next steps are undefined, there are multiple interpretations, or signals are weak or mixed.
Self-awareness. The ability to see oneself and one’s work within larger professional and personal contexts.
Change leadership. The ability to help others succeed in new and changing contexts.
Compelling communication. The ability to present ideas in a manner that is clear, concise, data-driven, and oriented toward concrete action.
Conflict management. The ability to manage differences in ways that satisfy the needs of stakeholders while promoting learning and ethical action.
Cultural leadership. The ability to support and establish organizational cultures—and help those cultures evolve over time.
Data analytics. The ability to analyze data to generate insights that drive action.
Empathy. The ability to recognize another’s experiences and act appropriately in a helpful manner.
Negotiation skills. The ability to uncover mutually beneficial outcomes through a prosocial concern for stakeholders.
Team leadership. The ability to provide purpose, accountability, and resources to a team.
Technological fluency. The ability to drive new opportunities through a detailed understanding of current and emerging technologies.
Competencies drive transformation
These are not the typical knowledge, skills, and attitudes advertised for supply chain planning positions. But they are critical for success in today’s operating environment. Take ambiguity tolerance. Planners nowadays are often required to make decisions with partial information and take contingent actions in rapidly shifting environments. Moreover, planners must be comfortable engaging with different viewpoints and challenging their own perceptions.
Other competencies will be crucial for meeting the challenges of digitization. For example, leaders clearly express a desire for more digitized, automated planning processes, ranking their disparate data silos and a lack of visibility into material flows as top concerns. But research indicates that in order to realize the full value of advanced technologies, companies must invest in the capabilities of their people. To drive digital transformation, planning leaders must develop teams with the technological fluency to test new solutions and assess their potential value.
Beyond technological fluency, planners will also need to be comfortable leading change. A true digital capability means routinely identifying, assessing, and adopting technologies in ways that push the productivity frontier and serve as a basis for competitive advantage. Planners will need to support others as new technologies transform traditional roles and responsibilities. The bottom line is that managing social and psychological factors associated with change will be as important as the technical implementation. Planners need to be ready for this new aspect of their work.
Focus on experience
Competencies emerge through experiences. By applying knowledge and skills through experiences, planners build the “muscle memory” that is at the core of any competency. As leaders start to define talent development programs, they need to expose planners to high-impact, hands-on learning, and then support those experiences with educational opportunities, processes, metrics, and incentives.
Supporting experiences that build planning competencies can be a challenge. First, no single experience will generate a desired competency. Instead, companies need to provide a range of experiences that support different elements of the planning competencies they hope to build. This takes thinking creatively about actions that can drive social and personal strengths. Our research identified five broad areas (see Figure 3) for companies to consider in supporting planning competencies:
FIGURE 3: Five broad action areas to support planning competency development
Enhancing storytelling and communication. Integrating information about the operating environment into a coherent narrative that motivates action is central to planning.
Infusing change management and influence strategies. Inspiring and leading change is critical for planners tasked with system transformation.
Linking diversity, equity, and inclusion (DEI) to supply chain success. A robust DEI program has enormous potential to benefit the entire planning organization by helping to develop competencies not just among underrepresented groups but also for those not directly impacted by DEI recruitment and retention efforts.
Mentoring, coaching, and leadership. New hires and top talent alike do significantly better with an active sponsor, mentor, or coach.
Managing through ambiguity. Sustaining performance in planning requires a workforce that can adapt to changes in the marketplace and rapid technological advancements.
These broad-based organizational action areas are mutually supporting, helping to develop different dimensions across several competencies. For instance, linking diversity, equity, and inclusion (DEI) to supply chain success entails developing talent from underrepresented groups and tapping their knowledge and experiences as resources for learning how to improve core work. Our research suggests that a robust DEI program has the potential to significantly support development in nine of the 11 core competencies identified above: ambiguity tolerance, self-awareness, change leadership, compelling communication, conflict management, cultural leadership, empathy, negotiation skills, and team leadership.
The point is that, as companies pursue their strategic objectives, they must think broadly about the individual-level competencies planners will need. Implementing specific training programs to achieve particular capabilities will likely fall short. Rather, companies should focus on organizational action areas that broadly support the organization’s talent development needs. (Suggestions for specific educational opportunities, processes, metrics, and incentives for each of the five action areas can be found in the white paper, “Developing the Next-Generation of Supply Chain Planning Talent and Leadership” on ASCC’s website.)
Now is the time
Supply chain planners need a new set of competencies to drive organizational success. Planners must be comfortable managing teams, leading change, and adapting to new technologies. Other capabilities may also be needed. For example, extensions of our research suggest financial literacy and business acumen may be critical competencies for planners to develop.
As leaders approach developing the next generation of planning talent, they should ask themselves a number of questions: Does my company have a process for identifying the competencies needed to achieve planning excellence? What experiences is my company providing planners to build their competencies? What educational opportunities, processes, metrics, and incentives does my company have in place to develop planning competencies? The time to start developing the next generation of planning talent is now.
About this research
This research was conducted as part of the Advanced Supply Chain Collaborative (ASCC) at the University of Tennessee–Knoxville (UT). The ASCC works as a think tank, engaging industry experts and UT faculty on leading topics in supply chain management. Teams of three to four individuals from two or more companies, led by a UT faculty member, work together on a topic of shared interest. Projects provide significant peer-to-peer learning in an open and supportive environment. The goal is to provide today’s leaders with new insights for navigating a rapidly changing operating environment.
This research was conducted using an interactive research design. Weekly conversations were conducted with a core group of corporate partners with significant supply chain planning expertise. The team explored the project’s research questions through in-depth, open-ended conversations. Discussions drew on participants’ practical experiences with talent and leadership development challenges and members’ considerable expertise. Subject matter experts were brought into the discussion to drive deeper investigations of topics as they emerged. Conversation notes were captured, and central themes and insights were distilled and presented to the group each week. Ideas that emerged were validated against the research literature; new ideas were defined and dimensionalized.
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).
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."