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Panama Canal (AI-generated image).

Navigating Supply Chain Disruptions: Then And Now

Dec. 19, 2024
Learn how AI can solve century-old procurement ssues.

Historically, procurement and supply chain teams react to crises only after they have already begun. A crisis starts and suddenly the team goes into fire-fighting mode. After the situation is remedied, teams return to business as usual, only to await the next crisis. Balancing strategic imperatives with solving these short-term crises is the key to effective supply management.

Simply reacting to supply disruptions may reduce immediate challenges, but it often fails to drive strategic value for the organization. This reactive posture can take a toll on the supply chain team’s morale, as their efforts to minimize disruption often go unrecognized.

For years, procurement and supply chain professionals have been forced to play defense, constantly reacting to minimize disruptions as they arise. This approach not only diminishes employee productivity by forcing them to constantly switch between projects and contexts, but it also undermines the perception of the function’s strategic importance.

When procurement is focused solely on putting out fires, it can seem like the team is only able to solve immediate problems rather than drive long-term value. This perception becomes a self-fulfilling prophecy, as business stakeholders may hesitate to involve procurement early in the decision-making process—right when the team could deliver the most strategic impact.

But what if this could change? What if procurement could identify opportunities with strategic value for stakeholders and proactively bring them to the table to solve century-old supply chain issues?

Moving from Defense to Offense

If procurement and supply chain teams could move from a reactive posture to a proactive, predictive position, they could focus on strategic planning for future growth and innovation, as well as building supplier relationships to enable business growth. That’s why AI and predictive analytics are essential to improving procurement technologies. New technology is transforming the way supply chains are managed. Instead of addressing problems as they arise, procurement professionals can identify opportunities for strategic value early and often, developing proactive response plans for dealing with predictable disruption events.

While the specific timing and severity of disruption events like hurricanes, port closures, labor strikes, or country shutdowns are difficult or perhaps even impossible to predict, there are a finite number of event types each year that can disrupt supply chains, and thus a finite number of response plans that can assure resilient continuity of supply.

With the advent of new predictive procurement orchestration tools, supply planners, procurement and purchasing teams now have the capacity to reduce the chaos of unexpected disruptions. These tools also transform procurement into a strategic business function by avoiding harm and predicting value-creating opportunities. By leveraging these new technologies, teams are orchestrating smoother business operations, identifying additional sources within their existing supply base, and navigating challenges with greater agility.

Addressing age-old industry constraints with these advancements can transform procurement from a reactive firefighter into a proactive business partner and trusted advisor to stakeholders. The result is not just improved efficiency, but a shift toward a future where procurement leads the way in maintaining business continuity and seizing opportunity—even amid uncertainty.

A History Of Difficulty For The Panama Canal

Consider a recent real-world example: The Panama Canal, a well-established cargo route, is no stranger to challenges and complexities brought about by natural disasters, geopolitical tensions, or technical failures, to name a few. To the untrained eye, the Panama Canal is a constructed waterway acting as a reliable “shortcut” for goods being transported across the Atlantic and Pacific oceans. However, experienced suppliers know the canal is wrought with disruptions from droughts that make it difficult to depend on, leading carriers in certain cases to cut their losses and opt to go around South America—a much longer, more costly route.

The increasing frequency and severity of these droughts, likely driven by climate change, compound these challenges and raise concerns about the canal’s long-term sustainability. As concerns around the Panama Canal’s reliability escalate, carriers and shippers must contend with the daunting task of pricing that uncertainty into contract negotiations. Even when a disruption does not take place, uncertainty itself can create additional costs.

A clear indicator of market response can be seen in the rising prices of container shipping contracts for 2025. Experts estimate that roughly 80% of all global goods are transported via ocean freight, making disruptions to key routes like Panama, the Red Sea and Taiwan a critical concern. If the COVID-19 pandemic has taught us anything, disturbances in one region often trigger a ripple effect throughout the global supply network.

Predictive Procurement for Supply Chain Resilience

In today’s turbulent geopolitical environment, simply reacting to supply chain issues as they arise is no longer sustainable for businesses. End consumers are accustomed to instant access to goods and services, no matter the surrounding context. To weather these volatile times, organizations must take proactive steps, which begin with building a strong, resilient supplier network that’s able to re-route orders or create new agreements at a moment’s notice.

That’s why AI-powered predictive procurement technologies have the potential to revolutionize how companies address and prepare for supply chain challenges. Traditionally, procurement involved a great deal of manual effort, from sourcing and qualifying suppliers to negotiating contracts. This slow, reactive process left organizations vulnerable to disruption and created long lead times to deliver solutions. However, AI-driven tools are now helping to streamline and automate these labor-intensive tasks, allowing procurement teams to quickly identify alternative suppliers and manage spot-market opportunities when unexpected challenges arise.

By analyzing data trends, such as historical supplier performance metrics and environmental factors, these predictive procurement systems enable businesses to make more informed decisions proactively. Identifying alternative sources of supply within a company’s existing supplier base is key, since qualifying new suppliers can be time-consuming, and expanding the total number of suppliers may introduce unnecessary complexity. Qualified alternatives can step in with primary suppliers facing delays and shortages. Additionally, securing carriers with secondary capacity is equally important, as logistical challenges often arise when transport routes are disrupted.

This level of adaptability will be crucial for safeguarding business continuity, ensuring that when one part of the supply chain falters, the entire operation does not come to a standstill. Predictive procurement empowers companies to have contingency plans in place, allowing them to pivot quickly and keep operations running smoothly when unforeseen challenges arise. Moreover, by leveraging AI-driven insights, organizations can optimize inventory levels, negotiate more favorable contracts, and better manage fluctuating demand.

As supply chain challenges persist with no clear end in sight, leveraging AI-driven predictive models will be essential for controlling costs, ensuring on-time deliveries and mitigating risk. Predictive technologies can help businesses navigate disruptions like those we have seen plague the Panama Canal by identifying alternative routes and evaluating cost trade-offs, easing century-old issues like never before. The future of supply chain management depends on how effectively organizations can adapt to these evolving complexities, using technology to build resilience and maintain a competitive edge.

About the Author

Edmund Zagorin | co-founder and chief strategy officer

Edmund Zagorin is co-founder and chief strategy officer at Arkestro, provider of a predictive procurement platform that uses data science, machine learning and behavioral science. Prior to founding Arkestro, he worked as a consultant focused on data-driven supplier negotiations for large healthcare providers, contract manufacturers and multi-campus retail brands.

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