A leading biopharmaceutical company faced challenges in reducing medicine waste during high-cost clinical trials. Up to 70% of medicines were wasted due to unpredictable patient recruitment, retention, and dosing, leading to financial, ethical, and environmental concerns.
Randomised clinical studies produced significant medicine waste, increasing costs, ethical issues, and environmental impact. Traditional supply chain tools lacked predictive capabilities, relying heavily on user experience and exacerbating inefficiencies.
MOAT introduced an Advanced Analytics, Optimisation, and Machine Learning (AAOML) tool to transform supply chain management with complex system integrations and data cleansing. Key actions included:
Optimised Study Design: Using simulations to refine parameters like country selection and visit schedules.
Collaboration: Engaging experts to address inefficiencies and enhance patient retention forecasts.
Capability Building: Creating workflows, training programmes, and processes for long-term improvements.
Waste Reduction: Lowering waste from 70% to 37%, reducing costs and environmental impact.
Cost Savings: Generating significant budget savings.
Enhanced Capabilities: Establishing industry-leading workflows and benchmarks.
MOAT’s expertise in AAOML tools and Project Management, has transformed our clinical trial supply chain, minimising waste and enhancing capabilities for future success.”
Pharma Company
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