Clinical supply & logistics
Analytics-driven performance – Clinical supply analytics Analytic Engine
CMOs
Internal depots Third-party depots
Source: Deloitte
“Using historical data, external drivers and statistical algorithms, we can create better forecasts of future demand signals, and, most importantly, describe and track the range of uncertainty in that prediction.” By anticipating supply needs with greater precision, organisations can avoid common pitfalls such as overproduction, understocking, or emergency shipments. These technologies also enable scenario planning, allowing stakeholders to model potential disruptors or changes in trial dynamics and proactively adjust their supply strategies. However, despite its advantages, the path to digitalisation is not without its own challenges. Many organisations face resistance to change, particularly from teams accustomed to traditional methods. Additionally, integrating new technologies with legacy systems can be both time-consuming and costly.
Even then, there are multiple strategies or tools that can help stakeholders share real-time data and insights, as Erika explains: “Having open data sharing between partners gives each business its own best chance of understanding supply, demand, contingency and at the bottom-line profitability.” For example, a phased approach to implementation, starting with pilot projects to demonstrate tangible benefits, can help build internal buy-in. Partnering with experienced vendors and consultants also streamlines the transition, ensuring that new systems integrate seamlessly with existing workflows.
Transforming trials with AI
As the digital transformation of clinical trial supply chains gains momentum, emerging technologies are poised to further enhance these capabilities. The past year especially, has seen huge strides in advanced AI and machine learning. Future applications of AI will go beyond forecasting to include adaptive algorithms that optimise supply chain operations in real time. These systems will dynamically respond to changes in trial protocols or unexpected disruptions.
“Across technologies, we are increasingly looking at the efficiencies automation can bring and here at
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4C Associates, we see that just as much in supply chain as in other areas,” Kelly Archer says. “Each leading software is offering an extension to introduce efficiency, so many new supply chain AI products are emerging and alongside that, the tried-and-tested platforms of Teneo, CoPilot, Amelia et cetera, sit quietly and wait to be noticed.” Digital twins – virtual replicas of physical supply chain networks – will allow stakeholders to continuously model, monitor, and optimise supply chain performance. Sustainability metrics, integrated into digital tools, will help organisations minimise their environmental impact by optimising packaging, reducing carbon emissions, and cutting waste. One of the most significant advantages of digital twins is their ability to support scenario planning. For instance, stakeholders can simulate the impact of various disruptions, such as adverse weather, sudden changes in trial protocols, or geopolitical events affecting transportation routes. By testing these scenarios virtually, organisations can identify vulnerabilities and pre-emptively develop mitigation strategies. Digitalisation and automation are not just enhancements but necessities for the modern clinical trial supply chain. By embracing these technologies, organisations can transform their operations, overcoming traditional challenges while unlocking new levels of efficiency, collaboration, and patient-centricity.
“The role for our pharma supply chain professionals will be to inform, judge and evaluate the information which is supplied to their screens and make better decisions, and never lose track of the patient at the centre of the service. Let’s hope digitalisation will give us the chance to be more human in our interactions with those wonderful people who are willing to break new ground for the greater good,” shares Erika Biggadike. As the industry moves forward, the adoption of digital tools will become a key differentiator for sponsors and CROs seeking to drive innovation and improve patient outcomes. With continuous advancements in AI, IoT, and predictive analytics, the future of clinical trial supply chain management is bright – and digital. ●
Clinical Trials Insight /
www.worldpharmaceuticals.net
Clinical trial actuals Clinical sites IRT data
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