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Shana WrayShana WrayPrincipal Solution Consultant, FourKites

Just a decade ago, pharmaceutical supply chains operated with relative stability. Regional suppliers, predictable distribution, and gradual regulatory changes defined the industry. Fast-forward to today, and supply chain leaders face a vastly different reality. A constantly changing network of global suppliers, overnight disruptions, and patient-specific medicine requirements have transformed linear processes to become more complex and nuanced, while also demanding quick decisions.

Maintaining (or Expanding) Margins with AI

Cost challenges are hitting pharmaceutical supply chains hard. Raw materials, energy, and transportation expenses have increased substantially, while tariff uncertainties threaten to reshape trade flows. For temperature-sensitive biologics and personalized medicines, specialized cold chain infrastructure adds even more expense, with the risk of potential losses from temperature excursions potentially causing substantial losses.

The ability to manage costs in any situation depends on the accurate information required to take immediate action — this typically requires digital twin technology that gives a real-time view of operations, protects inventory and revenue.

“It’s crucial for temperatures to stay within a specific range because a failure to do so could diminish the effectiveness of medications. We monitor the temperature, route and trailer at all times, which preserves the quality of our products. We have a 0.005% incident rate thanks to the NICPlace solution from FourKites.”— Bernd Schlumpberger, Head of Fleet & Transport Management at Teva Pharmaceuticals

Taking supply chain optimization a step further, an AI-powered supply chain control tower can incorporate the data from digital twins to provide recommendations and drive autonomous action based on analysis of inventory positions and transportation plans. For example, AI agents like FourKites Digital Workers can collaborate with suppliers, carriers and other stakeholders to ensure you have all the necessary data, regardless of how it’s shared with your teams. From extracting the SKU-level information in commercial invoices to messaging drivers on route, modern platforms must be armed with deep knowledge of business operations for effective planning.

The system should help teams make sound decisions about interventions by calculating the actual business impact of each at-risk shipment, including transportation costs, revenue, and customer impacts. Pharmaceutical companies using FourKites report 20-30% cost reductions through smarter inventory management.

Fast, Synchronized Response to Risk

Imagine a hospital in Minneapolis that needs a specific cancer treatment medication by Thursday. The pharmaceutical company’s supply chain manager gets an alert: their regular shipment from Belgium is stuck at a port due to labor strikes. The raw materials for this medication come from three different continents, and one key ingredient is already in short supply due to manufacturing issues in Singapore.

This is the reality of pharmaceutical supply chains today. While news headlines focus on geopolitical tensions or shipping disruptions, what really matters is that somewhere, a patient is waiting for medication that’s stuck. The pharmacy doesn’t want excuses about container shortages or customs delays — they need that delivery as promised, and the consequences of failure extend far beyond financial penalties.

Here again, an AI-powered supply chain orchestration platform can transform this chaos by monitoring every signal in the network 24/7 to catch potential delays before they happen. When disruptions occur, the system acts immediately by rebooking appointments, communicating with carriers, and alerting stakeholders without waiting for manual intervention.

For cross-dock operations critical to pharma distribution, the technology bridges what one manager described as operations that “might as well be on different planets despite being separated by just a few hundred feet.” When an inbound shipment changes, the system automatically adjusts outbound schedules, prioritizes unloading, and recalculates labor requirements throughout the day.

Safeguarding Patient-Critical Compliance

Even more challenging are advanced cell and gene therapies with extremely short half-lives and precise temperature requirements. These unconventional products are personalized treatments for patients, where a single supply chain failure could mean a lost opportunity that may never come again.

For these critical products, shippers must have real-time monitoring that goes beyond basic tracking to predictive protection. When a potential temperature excursion is detected in the network, for example, digital twins are updated to reflect the risk, and the platform will recommend preventive actions — alerting the driver to reroute and check the cargo, expediting delivery to prevent exposure, or any other action designated by the responsible team.

Proactive intelligence can also extend any divergence from the shipment plan on inbound shipments further upstream.

One top supply chain executive at a major pharmaceutical manufacturer shared this anecdote about proactive inventory protection: “There were two boxes for the same patient moving from the treatment center where they collected the cells to the packing site. We only have 48 hours total for transportation to the manufacturing site for editing the cells. There was an issue where the airline split the shipment and delayed one of the deliveries by a day. We got the alert as soon as the event happened, so we were able to come up with a mitigation plan so we didn’t lose patient cells. If we’d lost those patient cells, it would have cost six months, thousands of dollars, and the patient would have to go through a number of painful repeat procedures to collect the cells.”

Moving from Reactive to Preventive Approaches

The most successful pharmaceutical supply chains are shifting from reactive to preventive models. This transformation doesn’t require a complete system overhaul — companies can start by addressing their most pressing challenge:

  1. Identify critical vulnerabilities. Which aspects of your supply chain create the most risk for patients and your business?
  2. Prioritize high-impact issues. Not all delays and disruptions are equal; focus first on those with the greatest potential impact
  3. Connect information silos. Bridge the gaps between departments and systems for a unified view of your operations
  4. Implement proactive monitoring. Shift from learning about problems after they occur to identifying them before they impact patients

Companies that take these steps report up to 50% improvements in supply chain visibility and significant reductions in costly disruptions. More importantly, they shift their teams’ focus from constant firefighting to strategic planning.

Supply chain leaders don’t measure success solely by operational metrics — they measure it by never having a patient miss a dose because something got stuck in transit. They’re transforming how their teams work, not just to save money but also because getting medication delivery right can literally save lives.

Fortunately, supply chain platforms like FourKites’ Intelligent Control Tower help teams escape the hamster wheel of constant emergencies and firefighting. With better systems and information, they finally have room to plan ahead and prevent problems instead of scrambling when things break down.


Want to learn how AI can help you orchestrate your supply chain? Check out our executive guide.

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