A multinational healthcare conglomerate specializing in pharmaceuticals, medical devices, and consumer healthcare products, with a strong focus on research and development to drive medical innovation.

The client's production processes, heavily dependent on multiple suppliers, often faced unpredictable delays. A mathematical model was needed to accurately predict production timelines and address inefficiencies.

The client, with Turing's support, implemented a comprehensive AI-driven timeline prediction model:

• Data collection and preprocessing: Turing helped collect and clean historical data on production timelines, supplier lead times, and order quantities. Relevant features were identified based on their correlation with production delays.
• Model development: A regression analysis model was developed and validated to predict production timelines accurately. The model was then integrated into the client’s production planning process to optimize scheduling and reduce delays.

• 30% reduction in production delays: Accurate timeline prediction reduced delays.
• 20% increase in overall efficiency: Improved scheduling enhanced overall production efficiency.
• Improved supply chain management: The solution streamlined resource allocation.