Sales, Operations & Demand Planning
ManufacturingBusiness Impacts
$7 billion
In potential long-term savings per quarter
80%
Model accuracy
10+
Dashboards designed
Customer Key Facts
- Location : Europe
- Industry : Healthcare
Problem Context
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.
Challenges
- Long-term demand forecast (18 Months)
- Diverse markets and product behavior
- Sparse Data
- Fluctuations in demand and large tender orders
Python
Microsoft SQL Server
TensorFlow
Demand Forecasting Engine For Optimizing Supply Chain Operations
Solution
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.
Result
- Data-driven insights
- Greater cost savings
