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Sales, Operations & Demand Planning

Manufacturing
case study

Business 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

Python

Microsoft SQL Server

Microsoft SQL Server

TensorFlow

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

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