In potential long-term savings per quarter
Model accuracy
Dashboards designed
The client is a high-value healthcare equipment manufacturer with business operations in 27 regions globally. Not only do they have a global manufacturing footprint, but also a global network of certified materials and component suppliers.
They had been facing problems with their existing traditional supply chain planning approach which was not scalable for real-time monitoring and insights generation. Therefore, they wanted a data-driven approach to improve its operations and demand planning.
Python
Microsoft SQL Server
TensorFlow
Quantiphi developed a demand forecasting engine and 10+ dashboards which equipped their sales and operations planning (S&OP) team with the intelligence to reduce inventory cost as well as realize revenue on time.
