In the world of supply chain management, we spend much of our time searching for ways to make things better — more reliable, more efficient, more resilient. It’s a pursuit that can feel endless because improvement rarely comes from one grand move; instead, it is found in hundreds of small, thoughtful actions over time.

That’s why I’m recommending a summer read that, while not a traditional supply chain book, speaks directly to this spirit of continuous improvement: Better by Atul Gawande.

Gawande, a practicing surgeon and bestselling author, focuses much of his writing on the challenges of delivering better outcomes in medicine. But as you read Better, it becomes clear that the insights he shares transcend healthcare. In fact, many of them connect deeply to the work we do in supply chain. Health care, after all, is a complex supply chain in itself — one that must manage the flow of goods (medicines, equipment) and services (diagnosis, surgery, therapy) under conditions of great uncertainty and high stakes.

Gawande’s work reminds us that the principles that drive improvement in medicine are the same ones that drive improvement in supply chains, manufacturing, transportation, and just about every field where people are trying to do things better every day.

Three Takeaways for Supply Chain Professionals

1. The Relentless Pursuit of Better is Everyone’s Job

One of Gawande’s central points is that better performance is not reserved for “geniuses” or “experts” alone. In medicine, small, consistent improvements — asking an extra question, double-checking a dosage, washing hands properly — save lives. The same is true in supply chain.

In our world, whether it’s taking a second look at an inventory replenishment setting or spending a few extra minutes mapping supplier risks, the incremental pursuit of better outcomes can mean the difference between success and failure. There’s no standing still. Better is a moving target, and everyone on the team has a role in aiming for it.

2. Systems Matter as Much as Skill

Gawande makes a strong case that even the most skilled individuals can fail if the systems around them are poorly designed. A world-class surgeon operating in a broken hospital supply chain still faces high risks of failure.

Supply chains work the same way. Even great people can’t overcome a bad process or poor system design for long. When we evaluate our operations, it’s important to look beyond individual performance and address the structural barriers that prevent consistent execution. Strong systems allow talent to flourish; weak systems exhaust it.

3. Always Ask One More Question

One of my favorite insights from Better is the idea that sometimes, the most powerful thing you can do is simply ask one more question.

Gawande shares examples where small moments of curiosity or concern — asking a patient one more question about their symptoms, or a nurse asking why a process was skipped — led to major improvements or saved lives.

In supply chain, asking one more question can reveal unseen risks, highlight hidden opportunities, and help avoid costly mistakes. When considering a new supplier, a logistics routing change, or a forecasting adjustment, taking the time to dig a little deeper often makes the difference between a smooth operation and a big problem.

As supply chain learners and leaders, developing the habit of curiosity — and the courage to ask that extra question — is one of the simplest and most powerful habits we can cultivate.

Why Better is a Worthwhile Summer Read

What makes Better a great summer read is not just the quality of Gawande’s storytelling, but how accessible and applicable his lessons are. You don’t have to be a doctor to appreciate the challenges he describes, and you don’t have to be in a hospital to face similar decisions about quality, safety, and improvement.

Supply chains, like healthcare systems, are messy, imperfect, and always evolving. Gawande’s stories are a reminder that we improve not by finding perfect solutions, but by persistently chasing better ones — day after day, decision after decision.

If you’re looking for a book that will inspire you to think a little differently about your work, challenge you to ask better questions, and recharge your commitment to doing things better — Better is a worthy addition to your summer reading list.

I hope you’ll find it as insightful and motivating as I did. And as you turn its pages, I encourage you to keep a simple question in mind: What’s one thing I could do a little better today?

The Georgia Center of Innovation, a strategic arm of the Georgia Department of Economic Development (GDEcD), hosted hundreds of attendees at the 2025 Georgia Logistics Summit, where experts offered insights on the intersection of technology and logistics, updates on infrastructure investments, and how the state is preparing the future workforce to support growth. Established in 2009 as the first state-led event of its kind, the Georgia Logistics Summit is one of the Southeast’s key logistics and supply chain events, connecting industry professionals for networking and knowledge-sharing.

The economic impact of Georgia’s transportation and logistics industry was $107 billion in 2023, according to an economic impact study by the University of Georgia’s Selig Center for Economic Growth. These industries supported more than 578,000 Georgia jobs, or one in nine jobs in the state. From 2010 to 2023, transportation and logistics jobs in Georgia grew by 68%, outpacing the national growth rate of 52%. Additionally, in 2023 and 2024 alone, new logistics and distribution sector investments, including cold storage and ecommerce fulfillment centers, totaled $3.8 billion and created over 9,000 new jobs.

“Georgia’s unmatched global connectivity is one of the driving forces behind our economic success. Decades of strategic investment in our logistics and supply chain infrastructure – from our ports and rail lines to our highways and air cargo capabilities – have led to record-breaking economic investments and trade,” said Georgia Department of Economic Development Commissioner Pat Wilson. “The Logistics Summit brings together private sector, government, and education leaders to learn from experts, exchange best practices, and explore opportunities in the rapidly evolving logistics landscape to maximize opportunities. Events like this strengthen collaboration and spark new ideas that keep Georgia businesses competitive on a global scale.”

Georgia Department of Transportation Commissioner Russell R. McMurry highlighted Georgia’s strategic investments and how the Georgia Department of Transportation (GDOT) is leveraging technology to improve freight flow. He cited the leadership of Governor Brian P. Kemp and support from the General Assembly to allocate $1 billion to the newly created Georgia Freight Program over the past two years. Additional investments in transportation infrastructure are advancing the timing for key planned transportation projects that will maintain and improve Georgia’s interstate highway system, roads, and bridges. Georgia’s multimodal transportation network carried nearly half a billion tons of freight in 2019, valued at $673 trillion. Projections show that freight volume is expected to nearly double to 900 million in tonnage and freight value to more than double today’s value by 2050. Working with partners that include the Center of Innovation and the Georgia Institute of Technology, GDOT is focusing on enhancing safety and efficiency, including projects to add 50% more truck parking and installing fiber internet on Georgia interstates.

Georgia Ports Authority Vice President of Operations Susan Gardner provided updates on strategic investments to expand capacity at the ports, and how Georgia Ports Authority (GPA) is leveraging live data to improve safety, track vessel productivity and containers, and eliminate congestion. Gardner emphasized building a technological culture and prioritizing hiring creative employees, as well as harnessing data insights to boost efficiency. GPA is investing in $4.5 billion in improvements over the next decade as part of its port master plan to expand cargo handling capabilities and support future supply chain requirements.

This year’s feature panel, “AI and Beyond: Embracing Digital Transformation in Logistics,” included leadership from The Home Depot, Havertys Furniture, and TOTO USA, as well as research perspectives from the Georgia Institute of Technology. Panelists highlighted the ways digital technologies are reshaping supply chains, including a three- to five-year outlook for the industry, and provided insights attendees can use to shape their strategies to move more efficiently as AI and automation transform the industry.

“Digital technologies are reshaping supply chains in various ways, and Georgia is working to stay ahead of the curve,” said Center of Innovation Executive Director David Nuckolls. “The Center of Innovation and our specialized logistics team work alongside this dynamic industry, helping to position businesses for growth. The annual Georgia Logistics Summit is a powerful opportunity to build connections and equip businesses with crucial knowledge and resources.”

Educating the needed talent was the focus of the event’s final panel, with University System of Georgia Chancellor Sonny Perdue and Technical College System of Georgia Commissioner Greg Dozier providing updates on how the state’s post-secondary institutions are developing a globally competitive workforce. Discussion focused on how these institutions are ensuring the skills they are teaching match the jobs logistics companies are looking for, including creative problem-solving and effective use of new AI and automation tools. The breadth of Georgia’s technical college programs was also discussed, including the High Demand Career Initiatives program and a pilot program called “Dual Achievement” that enrolls students who withdrew from high school in a technical college program, enabling them to earn a high school diploma alongside a technical college certificate, diploma, or degree. Panelists focused on the importance of helping students get where they want to go faster, upskilling the existing workforce, and how connections between industry leaders and educators can help foster greater outcomes.

The Center of Innovation’s Logistics Industry Advisory Board also recognized the winners of the inaugural Future Innovators in Supply Chain competition. The competition invited college students to create videos about supply chain careers, reflecting the Center’s commitment to developing future logistics leaders. Led by professor Parisa Pooyan, student team “The Masters of Logistinomics” from Kennesaw State University won first prize and a $3,000 grant for the university. Eli Hampton, Angeline Harris, Joe Johnson, and Dana Pazhouhesh created the winning video, which can be viewed here.

For additional information on the 2025 Georgia Logistics Summit and to stay up-to-date on next year’s plans, visit galogisticssummit.com.

Participants in the 2025 Georgia Logistics Summit also included leaders from S&P Global Market Intelligence, Boost Phase Ventures, and M.D. Livingstone Consulting.

About the Georgia Center of Innovation
Exclusive to Georgia, the Center of Innovation helps Georgia businesses of all types and sizes find inspired solutions to challenges and opportunities. The Center connects new and expanding businesses with a team of experts, external partners, and independent mentors to tap into the technical expertise and guidance they need. By encouraging collaboration across six key industries: Aerospace, AgTech, Energy Technology, Information Technology, Logistics, and Manufacturing, the Center helps Georgia prepare for growth in strategic industry ecosystems.

About GDEcD
The Georgia Department of Economic Development (GDEcD) is the state’s sales and marketing arm. It is Georgia’s lead agency for attracting new business investment, encouraging the expansion of existing industry and small businesses, and locating new markets for Georgia products. As the state’s official destination marketing organization, it drives traveler visitation and promotes the state as a location for film and digital entertainment projects. GDEcD is responsible for planning and mobilizing state resources for economic development, fostering innovation and the arts to drive opportunity from the mountains to the coast.

In the world of strategic decision-making—whether in Supply Chain Management and Engineering or in policy—we tend to focus our energy on the immediate problem in front of us. That makes sense. Big decisions like acquisitions, divestitures, or product innovations are complex enough without adding more layers. But in my experience—especially during my time at Coca-Cola and across broader industry engagements—what often gets left out of the room are the second-order effects. These are the unintended consequences that don’t show up in the PowerPoint deck, but show up months or years later on your P&L, in your customer feedback, or in your team’s stress levels.

Some of these outcomes are manageable. Others are problematic. Occasionally, they’re game-changing—but not in the way we hoped.

The Core Challenge: Complexity Crowds Out Curiosity

In my time in industry, I’ve seen high-stakes decisions unfold under tight timelines. The rigor is there: financial models, market analysis, legal due diligence. But the same pressure that brings focus often narrows the field of vision. Once the strategic goal is clear, the push becomes “get the recommendation ready” or “get the deal done.” Often, the team disbands before the ripple effects have even begun to appear.

In fact, studies of managerial behavior find that decision-makers often prioritize short-term outcomes over long-term implications, making it easy to overlook those downstream impacts.

We rarely paused to ask:

• What happens to our partners, our systems, or our people two or three steps down the line?
• Are we shifting bottlenecks or creating future misalignments?
• Could this solution lock us into a path that becomes hard to reverse?
• Will we be happy with this decision in 5 years?

Not asking these questions isn’t negligence. It’s often a result of how we structure decision processes: focused, time-bound, and oriented toward closure.

When Good Decisions Still Cause Trouble

Let's make this real. I've seen:

• Procurement strategies that focused on driving down cost but over time forced suppliers to reduce investment in quality and continuous improvement resources—eventually leading to a significant quality issue for a key customer.
• Multiple outsourcing efforts that reduced future capital requirements but also reduced flexibility in scheduling and responsiveness to rapid demand shifts or new product innovation.
• Plant closures that optimized total network cost on paper but not in reality, because the remaining plants were not actually equipped to take on more volume and increased complexity.
• A new warehouse management system implementation that promised efficiency gains but created chaos in distribution—not because the software was flawed, but due to unforeseen complexities during implementation.

In each of these, the first-order decision was sound. But the downstream effects caught teams off guard, requiring backtracking, remediation, and even reputational repair.

Even recently, retailers trying to fix 2021 product shortages by ordering more stock found themselves “overwhelmed with inventory” in 2022 when demand eased—a textbook second-order surprise. Likewise, logistics executives admitted they “didn’t anticipate” that 2020’s e-commerce boom would spark a warehouse labor crunch—a side effect that underscores how easily ripple effects can catch us off guard.

Why This Matters—and Why It's Often Skipped

Let’s be honest. Most leaders are moving fast. The idea of adding more process—or imagining abstract future problems—can feel like a luxury. Typical objections sound like:

• "We don't have time for hypotheticals."
• "That's someone else's job—let's just move."
• "We'll deal with it if it becomes a problem."

But here’s the catch: in a complex system like a global supply chain or a tightly coupled stakeholder network, second-order effects are not edge cases—they're part of the landscape.

In fact, recent research in supply chain management finds that such second-order effects are likely ubiquitous and must be anticipated rather than ignored. Ignoring them doesn’t make them go away. It just delays the pain—and multiplies the cost.

Where This Applies in Supply Chain

These second-order thinking practices are especially useful in supply chain decisions where complexity and interdependencies are high. Think about:

• Network redesigns or footprint consolidation
• Sourcing shifts or dual sourcing strategies
• Technology implementations like a new TMS or WMS
• Inventory policy changes that affect fulfillment, customer service, or working capital
• Sustainability initiatives that touch suppliers, packaging, and compliance

Each of these decisions may seem straightforward at first glance, but often carry ripple effects that only surface months later—making this kind of foresight not just useful, but essential.

A Pragmatic Playbook: Small Steps, Big Impact

To embed this thinking into your organization’s DNA, you don’t need to launch a task force. You need lightweight, repeatable tools that shift how teams think. Here are a few that punch above their weight:

✅ Pre-Mortem Workshop

• Time: 60–90 minutes
• What It Is: Imagine the decision failed spectacularly. Ask: what went wrong?
• Value: Surfaces hidden risks early and creates a safe space for dissent.

"This is an insurance policy, not red tape.”


✅ Ripple Mapping

• Time: 1–2 hours
• What It Is: Visually chart the impact of a decision across systems, partners, and people.
• Value: Turns abstract consequences into visible risks and opportunities.

"Helps teams see around corners—and ask better questions.”


✅ Mini FMEA (Failure Modes and Effects Analysis)

• Time: 60 minutes
• What It Is: Identify how key decision elements could fail and what to do about it.
• Value: Helps prioritize monitoring and mitigation during rollout.

"Adapt it from engineering—it works just as well for strategic moves.”


✅ Early Warning Indicators

• Time: Minimal setup, integrated into standard dashboards
• What It Is: Define and track metrics tied to second-order risks (e.g., employee attrition, service delays).
• Value: Helps you course-correct before small issues become systemic.

"It's not just about making the right decision—but making the decision work.” 

 

Culture Shift: From Transaction to Trajectory

The real unlock comes when we shift the definition of a successful decision. It’s not just about getting a green light. It’s about ensuring the decision holds up over time—operationally, culturally, and reputationally.

To institutionalize this mindset:

• Add a "second-order checkpoint" to strategic review decks or governance templates
• Ask for a "consequence map" alongside the business case
• Celebrate teams who surface risks early, not just those who execute quickly
• Conduct post-mortems (not just pre-mortems) to harvest lessons

"Strategic foresight is not about predicting everything. It's about avoiding the predictable surprises.”
 

Backed by Big Thinkers

This isn't just operational wisdom—it's grounded in thoughtful literature:

• Peter Senge, in The Fifth Discipline, emphasizes how organizations struggle when they fail to see the system-wide consequences of localized actions.
• Nassim Nicholas Taleb, in Antifragile, argues that systems become more vulnerable when decisions are made without consideration for stress-testing and adaptive feedback loops.
• Cass Sunstein, writing on regulatory and policy decision-making, promotes the idea of "decision hygiene”—a systematic process to reduce bias and surface risk.
• Atul Gawande, in his book Better and in his commencement address at Stanford, shared how the habit of asking "just one more question" often uncovered crucial, overlooked insights—just like the disheveled detective Columbo. That final question, the one nobody else asks, frequently makes the difference between surface-level understanding and meaningful action.

Sometimes the last question is the best one. The more complex our systems become, the more important it is to keep asking until we find what we didn’t know we were missing.

Closing Thought: Be the Person Who Asks One More Question

As supply chains become more interconnected and policy environments more volatile, decision quality will increasingly depend on ripple-awareness. You don’t need perfect foresight. But you do need a culture that pauses—briefly—to ask: what might happen next?

Those few extra minutes may be the difference between a great decision—and a regrettable one.

Today's supply chain industry is undergoing a rapid transformation, driven by AI, robotics, and data analytics. These innovations are already delivering measurable efficiency gains, and fast followers – companies that quickly adopt proven technologies – must take action or risk falling behind. Using a "consequence thinking" approach, supply chain professionals and students must ask: What happens if I’m not keeping up with these trends? Those who proactively invest in emerging technologies and their own skills will be better positioned to compete, those who don’t take action in 2025 will struggle with inefficiencies and higher costs. Georgia Tech, a leader in supply chain research and education, is actively exploring these areas, reinforcing that these trends are not just hype but a critical reality.

AI Agents and Decision Intelligence

AI is moving beyond forecasting and analytics into autonomous decision-making. AI agents can rapidly process complex scenarios—such as supply disruptions—and generate optimal responses in real time. This shift reduces reliance on manual problem-solving and enables organizations to respond faster and with greater accuracy. These AI-driven systems also make insights more accessible, allowing non-technical professionals to interact with advanced analytics in natural language.

Georgia Tech’s Supply Chain and Logistics Institute is offering education in Generative AI for supply chain, helping professionals understand and apply these tools effectively. The key takeaway? AI isn’t just for data scientists—it’s becoming essential for all supply chain professionals. Investing in AI literacy and decision intelligence training will be critical to staying relevant in the field.

Physical Automation: AMRs Reshaping Warehouses

Automation in warehouses is no longer experimental—it’s here and delivering results. Autonomous mobile robots (AMRs) are replacing traditional automation solutions, offering greater flexibility and adaptability. Unlike AGVs, which rely on fixed paths, AMRs navigate dynamically using AI and real-time mapping, making them well-suited for evolving warehouse environments.

Companies deploying AMRs report increased throughput, reduced labor costs, and improved safety. These robots optimize workflows, assist human workers, and enable 24/7 operations. Georgia Tech researchers are developing human-collaborative robotics, reinforcing that the future is about augmenting—not replacing—workers. Supply chain professionals should focus on developing skills in automation management and AI-driven operations. Understanding how to integrate these technologies into workflows will be a key differentiator.

Data Management: The Foundation for AI and Automation

AI and automation depend on high-quality, well-integrated data, yet many organizations struggle with fragmented systems and poor data governance. Industry surveys consistently highlight that supply chain leaders cite data silos and quality issues as top barriers to digital transformation. Without a strong data foundation, even the best AI models and automation solutions will fail to deliver their full potential.

Modern supply chain visibility platforms and AI-powered analytics tools are helping companies consolidate data for better decision-making. Georgia Tech researchers are advancing digital twin models that simulate supply chain networks, but these rely on robust data integration. For professionals, this underscores the need to develop data literacy and analytical skills. Those who can navigate, interpret, and leverage data effectively will be indispensable in AI-powered supply chains.

Call to Action: Personal Development and Strategic Planning

Emerging technologies in supply chain—AI, automation, data analytics, and logistics AI—are no longer futuristic concepts. They are delivering tangible benefits now, and the gap between early adopters and laggards is widening. If these innovations are not on your radar, you need to take action.

Where to Start:

• Invest in Personal Development: AI, automation, and data skills are becoming core competencies. Take relevant courses, attend industry events, and seek practical experience.
• Assess Business Applications: Identify where these technologies can solve current challenges and improve efficiency in your supply chain.
• Build Data Competency: Understanding how to structure and leverage data is foundational for AI and automation success.
• Experiment with Emerging Tech: Pilot AI-driven decision tools, AMRs, or logistics optimization models to gain insights into their potential.

The future of supply chain management is being reshaped by these technologies, and those who prepare now will define the next era of supply chain excellence. The question is no longer if these tools will impact the industry—it’s how quickly you can learn to use them to your advantage.

In today's data-driven world, supply chain professionals and business leaders are increasingly required to leverage analytics to drive decision-making. As companies invest in building data capabilities, one critical question emerges: Which programming language is best for supply chain analytics—Python or R?

Both Python and R have strong footholds in the analytics space, each with unique advantages. However, industry trends suggest a growing shift toward Python as the dominant tool for data science, machine learning, and enterprise applications. While R remains valuable in specific statistical and academic contexts, businesses must carefully assess which language aligns best with their analytics goals and workforce development strategies.

This article explores the strengths of each language and provides guidance for industry professionals looking to make informed decisions about which to prioritize for their teams.

Why Python Is Gaining Industry-Wide Adoption

1. Versatility and Scalability for Business Applications

Python has evolved into a comprehensive tool that extends beyond traditional analytics into automation, optimization, artificial intelligence, and supply chain modeling. Its key advantages include:

• Scalability: Python handles large-scale data processing and integrates seamlessly with cloud computing environments.
• Machine Learning and AI: Python’s ecosystem includes powerful machine learning libraries like scikit-learn, TensorFlow, and PyTorch.
• Integration Capabilities: Python works well with databases, APIs, and ERP systems, embedding analytics into operational workflows.

2. Workforce Readiness and Talent Development

From a talent perspective, Python is becoming the preferred programming language for data science and analytics roles. Surveys indicate that Python is used in 67% to 90% of analytics-related jobs, making it a crucial skill for professionals. Employers benefit from:

• A larger talent pool of Python-proficient professionals.
• A lower barrier to entry for new employees learning data analytics.
• The ability to streamline analytics processes across different functions.

3. Industry Adoption in Supply Chain Analytics

Python is widely adopted in logistics, manufacturing, and supply chain optimization due to its ability to handle:

• Demand forecasting and inventory optimization.
• Network modeling and simulation.
• Automation of data pipelines and reporting.
• Predictive maintenance and anomaly detection.

Why R Still Has a Place in Analytics

Despite Python’s widespread adoption, R remains a valuable tool in certain business contexts, particularly in statistical modeling and research applications. R’s strengths include:

• Advanced Statistical Analysis: R was designed for statisticians and remains a leader in econometrics and experimental design.
• Robust Visualization Capabilities: Packages like ggplot2 and Shiny make R a preferred choice for creating high-quality visualizations.
• Adoption in Public Sector and Academic Research: Many government agencies and research institutions continue to rely on R.

Strategic Considerations: Choosing Between Python and R

1. Business Needs and Analytics Maturity

• For companies focused on predictive analytics, automation, and AI, Python is the best choice.
• For organizations conducting deep statistical research or working with legacy R code, maintaining some R capabilities may be necessary.

2. Workforce Training and Skill Development

• Companies investing in analytics training should prioritize Python to align with industry trends.
• If statistical expertise is a core requirement, R may still play a supporting role in niche applications.

3. Tool and System Integration

• Python integrates more seamlessly with enterprise software, making it easier to operationalize analytics.
• R is often more specialized and may require additional effort to connect with business intelligence platforms.

4. Future Trends and Technology Evolution

• Python’s rapid growth suggests it will continue to dominate in analytics and AI.
• While R remains relevant, its role is becoming more specialized.

Final Thoughts: A Pragmatic Approach to Analytics Development

For most organizations, Python represents the future of analytics, offering the broadest capabilities, strongest industry adoption, and easiest integration into enterprise systems. However, R remains useful in specialized statistical applications and legacy environments.

A balanced approach might involve training teams in Python as the primary analytics language while maintaining an awareness of R for niche use cases. The key takeaway for business leaders is not just about choosing a programming language but ensuring their teams develop strong analytical problem-solving skills that transcend specific tools.

By strategically aligning analytics capabilities with business goals, organizations can build a more data-driven, adaptable, and future-ready workforce.

Years ago, I wrote a short and very simplistic post that can help explain why a country (or for that matter, any group of people) can run a trade deficit with another country (or again, any other group of people) and still grow their welfare (economy, wealth, etc.) faster than the other country. You can find it here. The post makes a number of basic points using a simple example. I’ll also repeat here that, these years later, I’m still not an economist and I’m not otherwise an expert on certain aspects of international trade. However, I am someone who thinks quite a bit about supply chains and thus, given the configuration of the modern global economy, I do think about international trade and transportation and the potential impact of various import tariffs on supply chains.

First, here is an update on the scale of international trade and its role within the US economy. I’ll use official trade statistics provided by the US Census Bureau. If we look at the trade of physical goods which is the first thing that most people think about when it comes to trade, the US imported US$3.112 trillion worth of goods in FY2023. That is simply a lot of stuff. Note that imported goods can be finished products that are distributed (eventually) through various retail channels to end consumers. But they can also be various inputs to production: supplies, components, or work-in-progress inventory that feeds US manufacturing enterprises. A very good example along these lines is Canadian heavy crude oil, shipped to US petroleum refineries as the key input to the production of refined petrochemicals like gasoline, jet fuel, and other products. You can read elsewhere why the US currently imports heavy crude from Canada when it (already) produces more crude oil than it consumes each year and is thus (already) a net exporter.

Most US consumers understand that large parts of our economy rely on imported goods. Fewer might think about the sheer scale of the US goods export economy. Looking again at FY2023, the US exported US$2.051 trillion worth of goods (includng some of that aforementioned US-drilled crude oil). Wow, again, that is a lot of stuff. But it is true that the balance of trade here currently favors imports over exports. Since we import more goods value than we export, we ran a goods trade deficit with the rest of the world of US$1.061 trillion in FY2023.

A large part of the US economy today is the provision of services and not goods. There are all sorts of services: food service, financial services, educational services, transportation services, consulting services, and so on. And the US does trade in services as well, both importing services from foreign providers while exporting services to foreign customers. In fact, the US ran a trade surplus in services of US$288 billion which reduced the overall net trade deficit to US$773 billion in FY2023.

Now let’s discuss tariffs for a bit, and let’s consider duties on imported goods. If the US places a 10% tariff on a bundle of goods (perhaps a specific category of goods from a specific set of countries), then importers of those goods must pay a customs duty on the declared goods before they can be moved into the US (so-called customs-clearing). As many have noted already, these importers-of-record are firms doing business in the US (or individuals) that have arranged for the importation. Examples of such importers include retailers like Walmart and producers like Ford and ExxonMobil. Customs duties collected go into the US Treasury, similar to personal income taxes, social security and Medicare taxes, and corporate income taxes. However, the fraction of US government revenue raised by tariffs has been very small for a long period of time. In FY2023, the total collected customs duties by the US Treasury was about US$80 billion. In fact, FY2023 trade was down a bit from FY2022 when total goods imports were US$3.35 trillion and total collected duties were US$112 billion, or an average duty of about 3.3%.

So, how much revenue could be raised by new tariffs? Let’s imagine a strange world where new US import duties did not distort the economy in any way: the same value of goods is assumed to be imported even though both demand for those goods would likely adjust and the purchasing power of each US$ might increase. If the average duty were increased to 10%, the total revenue produced to the US Treasury in FY2023 would have been US$311 billion. How about a 25% average tariff? Well, of course, US$778 billion. For comparison, the US Treasury received US$2.43 trillion in personal and US$530 billion in corporate income taxes in FY2023, an amount nearly equivalent to a universal 100% tariff on the imported goods value basis for all imported goods. The tiny yellow sliver in the figure below shows how little total customs duty revenue has been collected over time and how little changed it has been compared to other revenue sources.

Like any other tax, a tariff can be useful to governments as they seek to design mechanisms to fund (important) government activities while distorting economic activity to favor or disfavor various groups of people, businesses, investors, industries, nations, regions etc. It’s also safe to say that, like any other tax, it can be difficult to determine how economic activity will be specifically distorted by any specific tariffs. In fact, it may be more difficult with tariffs for a few reasons. The first is that unlike a sales tax, a tariff on imported goods occurs upstream of the point-of-sale. Instead, tariffs create increases in supply chain costs for importers, and the impact of tariffs on consumers depends on what happens as a result of these cost increases.

First, it should be noted that some supply chain cost increases cannot be borne at all and can lead to the elimination of some products in the marketplace. Why? A cost increase can lead a producer to decide that a product cannot be profitably produced and marketed, and this is true even if a replacement supply source with a lower (tariff-inclusive) cost of supply can be identified. A retailer may make a similar decision for an imported product. If producers or retailers continue to keep a product in the market, they could decide to lower its quality in some way or to pass on portions of the cost increase directly to its customers. But the supply chain cost persists; perhaps a different supplier could be identified not subject to the tariff, but if that supplier were already providing the same input at the same quality for a lower price they would be used already. Since profitability is likely to be impacted, owners and investors as well as employees of the importer will also likely to be impacted. These interactions are all naturally somewhat complex and the outcome is difficult to predict.

I’ll finish with a thought. If a government wishes to use new tariffs to yield a political outcome beyond simply raising revenue, they will likely need to be designed to produce a significant (and noticeable) distortion to some portion of the economy. If the distortion is mild, no change of behavior seems likely to occur. It seems as if the US is about to attempt some new experimentation with tariffs to both influence the behavior of trade partner nations and to create a significant government revenue source. We will likely get to see firsthand what kind of economic distortion they induce.

The new year provides a natural opportunity to refocus on professional growth. For busy supply chain professionals, development planning can often fall to the bottom of the priority list, especially amidst the daily challenges of managing operations and responding to disruption. Yet, this intentional focus on skill-building is more critical than ever.

As Managing Director of the Supply Chain and Logistics at Georgia Tech, I’ve seen firsthand how development planning can elevate individual careers, strengthen teams, and improve organizational resilience. However, the key to making it work lies in balancing the demands of day-to-day operations with actionable, targeted development efforts.

The Reality of Development Windows

The structure of the working calendar doesn’t make development planning easy. Between the end-of-year holiday season and summer vacation months, supply chain professionals face two primary windows for development:

• Spring (February through May): Coming off the end-of-year slowdown, spring provides the first extended opportunity to focus on growth.
• Fall (Mid-August through Mid-November): After summer, fall offers a second chance to refocus before the holiday rush begins.

For supply chain professionals, these windows represent critical periods to upskill and prepare for the evolving demands of the industry. The spring window is upon us, making now the perfect time to act with urgency and purpose.

The “Why” of Development Planning

In supply chain, the "why" behind development planning is straightforward: the industry is changing faster than ever. New technologies, shifting global trade patterns, and the increasing complexity of operations demand professionals who are both technically skilled and strategically agile.

The supply chain leaders of tomorrow must excel in areas like:

• Data and Analytics: Understanding data and leveraging it for decision-making is no longer optional.
• Automation and Technology: From warehouse robotics to AI-powered forecasting, supply chain professionals need to be tech-savvy to stay relevant.
• Resilience and Risk Management: Building robust supply chains capable of withstanding disruption is now a core competency.

The “What” of Development Planning: Key Focus Areas

Development can be broken into two primary areas:

1. Core Competencies (In-House):

• Communication: Clear, concise, and persuasive communication is critical for collaboration.
• Problem-Solving: Supply chains are inherently complex, and professionals must excel at diagnosing and resolving issues.
• Leadership and Teamwork: Even non-managers need strong leadership and collaboration skills to succeed in today’s cross-functional environments.

Here is a link to one of the best competency guides out there: FYI Resource Center

2. Technical and Operational Skills:

• Advanced Analytics and Visualization: Skills in tools like Power BI, Tableau, or Python are becoming industry standards.
• Supply Chain Systems and Automation: Understanding the functionality and implementation of WMS, TMS, and other critical systems is vital.
• Sustainability and Compliance: Professionals need to navigate increasingly complex sustainability requirements and global regulations.

Beyond these newer technical areas, there remain significant gaps in the application of many core supply chain processes—gaps that cannot be overlooked:

• Production and Inventory Planning: Effective planning processes are critical, yet many organizations struggle to optimize them to balance demand and capacity.
• Warehouse Operations and Optimization: Opportunities remain to improve material flow, labor efficiency, and space utilization in warehouse environments.
• Manufacturing Asset Reliability and Output: Ensuring consistent and reliable equipment performance is essential to maintaining throughput and meeting customer expectations.
• Tradeoff Analysis for Purchasing Decisions: Striking the right balance between low cost, resilience, and sustainability is an increasingly complex challenge, especially in the face of rising customer and consumer pressure for speed and service.

A Quick Action Plan Using the 70/20/10 Model

For supply chain professionals with limited time and access to leading practices, the 70/20/10 model offers a practical framework for development:

• 70% Experiential Learning: Apply learning directly in your work.
• 20% Social Learning: Learn from others in your network or organization.
• 10% Formal Learning: Invest in structured learning opportunities.

Please see attached figure 1 for Development Plan Example to improve Warehouse Operations Capability

Here is a link to a free Individual development GPT in Chat GPT: Individual Development Plan Builder

Call to Action: Take 30 Minutes to Plan Today

For busy professionals, the biggest hurdle to development planning is often finding the time. But a well-crafted development plan doesn’t have to take hours. Here's how you can get started in just 30 minutes:

1. Reflect on Your Growth Needs (10 Minutes): Where do I need to grow most?
2. Set Three Development Goals (10 Minutes): Identify experiential, social, and formal learning goals.
3. Identify Next Steps (10 Minutes): Write down one immediate action for each goal.
4. Schedule time with Manager to review proposed plan and schedule monthly check-ins

Development as a Competitive Advantage

The pace of change in supply chain operations is relentless, but professionals who make development a priority can turn that challenge into a competitive advantage. By leveraging the 70/20/10 model and focusing on intentional, actionable planning, you can position yourself—and your team—for success.

Don’t let this spring window pass without taking steps toward growth. Whether it’s mastering a new technology, improving core processes, or navigating tradeoff decisions, the time to act is now. If your growth plan includes professional education, consider how the Supply Chain and Logistics Institute and Georgia Tech Professional Education might benefit you!

In the dynamic world of supply chain and logistics, talent development has emerged as a critical differentiator for organizations seeking to stay competitive. As businesses navigate the complexities of global supply chains, disruptive technologies, and shifting market demands, having a skilled and adaptable workforce isn’t just an advantage—it’s a necessity. Moreover, investing in talent development isn’t only about building capability; it’s also a proven strategy for attracting and retaining top talent in a competitive job market. 

At the Georgia Tech Supply Chain and Logistics Institute (SCL) and Georgia Tech Professional Education (GTPE), we understand the challenges organizations face in developing their teams. Whether you’re managing a workforce with a mix of new hires and seasoned professionals, undergoing a major organizational transformation, or striving to stay ahead, talent development must remain at the forefront of your strategy. 

Why Organizations Choose Georgia Tech

Organizations turn to us for talent development solutions for several reasons:

A Balance of New and Experienced Professionals: Managing talent means addressing the needs of both emerging professionals who bring fresh energy and experienced workers who provide deep institutional knowledge. Our programs cater to this balance, offering foundational courses for newcomers and advanced training for seasoned leaders. 

A Competitive Edge in Attraction and Retention: Offering world-class development opportunities signals to current and prospective employees that your organization values growth. This commitment is especially critical in today’s job market, where career development ranks high on employees’ priorities. 

Practical, Immediately Applicable Training: Adult learners need training that works in tandem with their day-to-day responsibilities. Our modular programs are designed for immediate real-world application, ensuring learning outcomes translate directly into workplace improvements. 

Scalable Solutions for All Organizations: For growing companies, introducing structure and formal training is often the next step in their evolution. For larger enterprises, we complement internal training programs with flexible, impactful learning options that align with organizational goals.

What Makes Our Offerings Unique

We deliver training solutions tailored to the realities of today’s supply chain and logistics landscape, setting us apart in the industry. Here’s how: 

Flexible Delivery Options: From self-paced courses to live and virtual classes, public programs, and custom corporate training, we offer a variety of formats to meet your needs. For example, our hybrid Engineering the Warehouse course combines online lectures with in-person lab sessions to maximize convenience and impact. 

Bite-Sized, Modular Learning: Our modular approach allows professionals to access content in manageable segments, enabling learning alongside work demands. For instance, our series on supply chain analytics is broken into short, focused modules that let learners immediately apply concepts like inventory optimization and demand forecasting. 

Innovative and Relevant Content: We stay ahead of the curve by addressing emerging industry trends. Our new course on Generative AI in Supply Chain equips professionals to leverage advanced technologies for process optimization and strategic planning. 

Industry-Informed Solutions: Collaboration with industry leaders ensures our content addresses real-world challenges. For example, our program on Supply Chain Risk and Resilience integrates insights from Fortune 500 companies to help businesses mitigate disruptions effectively. 

Grounded in Research: Every program is informed by leading academic research and designed to reflect the best practices of adult learning, ensuring your team gains knowledge that is both current and actionable.

Preparing for 2025: A Competitive Advantage

As we approach 2025, talent development remains central to addressing the challenges of the supply chain industry. Large enterprises continue to seek solutions to skill gaps and organizational transformation, while small and mid-sized organizations increasingly recognize the need for formalized training. Georgia Tech’s offerings serve as a vital resource, ensuring professionals stay competitive, skilled, and current in an ever-evolving landscape.

Investing in your workforce today not only ensures your organization’s readiness for tomorrow’s challenges but also signals a commitment to your team’s growth and success. At Georgia Tech, we are proud to partner with companies of all sizes, providing a unique blend of flexibility, innovation, and industry relevance that drives results. 

Whether you need a program to supplement your internal training, build a comprehensive development strategy, or prepare your team for the future, we’re here to help. Contact us at info@scl.gatech.edu to learn more about how we can support your talent development needs. 

Let’s work together to ensure your supply chain workforce is ready to lead in 2025 and beyond.

Martin Luther Hubbard is Vice President of Supply Chain Operations at The Coca-Cola Company. Martin is an accomplished Business Leader with over 25 years of progressive leadership roles in Supply Chain Operations, International Logistics Management and Financial Controllership. He has broad and comprehensive experiences supporting Fortune 200 companies in the Consumer Products Goods and Automotive Industries and is known as a transformational leader.

During his 20-year career at The Coca-Cola Company, Martin assumed several roles with increased responsibilities in Houston and Atlanta. In his current role as Vice President, Supply Chain Operations, he leads a team that focuses on delivering our innovation initiatives, driving strategic supply chain solutions, and delivering multi-year Design-to-Value/Sustainability savings.

Martin began his career at the Eaton Corporation in Atlanta, GA where he held several positions including, Plant Financial Controller, Plant Manager, and finally Global Supply Chain Lead. In those roles, he was able to improve manufacturing output, employee engagement and financial performance for the facility he managed.

Martin also provides supply chain and finance consulting as a board member for local non-profit organizations.

Martin is a native of Atlanta, GA. He obtained his bachelor’s degree in Accounting | Finance from Georgia State University and his Master’s Degree in International Business from Mercer University (GA). He is also a practicing CPA in the State of Georgia.

SCL appreciates Mr. Hubbard's participation in our Industry Advisory Board and his willingness to lend his expertise to help shape our strategic initiatives into 2025.

Alex Hamrick is the Vice President of Supply Chain Analytics, Channel Optimization, and PMO at The Home Depot. Alex and his team are responsible for end-to-end analytics, data science, data architecture, and project management functions for The Home Depot supply chain. This includes optimizing product flow path selection, product stocking location optimization, forecasting and capacity planning in the distribution centers, network optimization, cost and service optimization in our transportation and delivery operations, and SKU productivity in the supply chain network. Alex’s teams apply traditional analytical methods and are actively developing machine learning and AI use cases across the supply chain.

Over the last twelve years at The Home Depot, Alex has held roles of increasing responsibility in both operational and analytical functions in both The Home Depot's online and store businesses. Prior to joining The Home Depot, Alex worked for CHEP in a variety of supply chain roles including network optimization, demand forecasting, and inventory.

Alex holds a Master’s degree in Economics from the University of Virginia and Bachelor’s degrees in Applied Mathematics, Statistics, and Economics from the University of Central Florida. He grew up in Tampa, Florida and currently resides in Atlanta, Georgia with his wife and two daughters.

SCL appreciates Alex's participation and will leverage his expertise in supply chain analytics, data science, and project management to help shape our strategic initiatives into 2025.