Supply AI –
Smarter supply,
Powered by AI
Revolutionizing Clinical Trial
Supply Management
Supply AI is an advanced AI-powered solution designed to optimize clinical trial supply chains with precision, efficiency, and real-time adaptability. By integrating predictive analytics, machine learning, and automated resupply strategies, Supply AI ensures that investigational products reach the right sites at the right time—minimizing waste and reducing risks in clinical trials.
Accurate prediction of clinical supply chain plans has been made available with Supply Al, combined with Monte Carlo algorithms, real study parameters, and tens of thousands of simulations.
By leveraging machine deep learning algorithms to adjust clinical trial supply in real time, it integrates multiple parameters in clinical trials such as patient dropout, drug over temperature, and expired recall.Supply Al maximizes drug utilization from planning to production, saving tens of millions of dollars in drug costs for sponsors.
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+50%
Cross-team collaboration
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+30%
Drug supply chain efficiency
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90%+
Up to Drug utilization rate
Core advantages
of the product
Predict Drug Supply in Seconds
Powered by Monte Carlo simulations and AI-driven forecasting, Supply AI rapidly analyzes real study parameters and thousands of scenarios to predict clinical drug supply needs with unparalleled accuracy. This ensures proactive decision-making, reducing risks of shortages or overages.
Optimize Inventory Distribution in Real Time
Supply AI continuously monitors and adjusts inventory levels across multiple trial sites, dynamically responding to variables such as patient dropout rates, temperature excursions, and unexpected demand fluctuations. With real-time visibility and intelligent reallocation, it minimizes delays and keeps trials running smoothly.
Substantially Reduce Waste in Clinical Drug Supply
By integrating predictive analytics and machine learning, Supply AI significantly reduces drug waste by optimizing production, shipment, and site-level inventory. Sponsors can achieve up to 90% drug utilization efficiency, saving millions in supply costs while ensuring compliance and sustainability.
