Demand Forecasting for a Medical Devices Company


  • CASE STUDIES
  • January 30th, 2020
  •   580 Views

Demand forecasting using near real-time data is crucial to optimize your supply chain

THE PROBLEM:
One of the largest medical technology companies in the world was looking to revamp its existing supply chain model. At the macro-level, the client wanted:
• Improve the accuracy of its demand forecasting model to increase supply chain efficiency
• Create a framework that can forecast at acceptable high-levels of accuracy which was currently not possible due to demand-stream volatility.

THE MU SIGMA APPROACH:
Mu Sigma created an advanced analytical framework aimed at improving the client’s demand forecasting. We followed a comprehensive methodology to enhance existing forecast accuracy to ensure short term accuracy and long-term volume alignment.

THE IMPACT:
Mu Sigma helped improve accuracy of forecasting from previous 53% to 70% with nearly 95% accuracy across stable segments. The solution also stabilized overall process efficiency.

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