Case Study
Global healthcare distributor builds a transparent, scalable supply chain model through data unification
Industry
Healthcare and Life Sciences | Pharma
Location
Global
Our Contributions
Data
Technologies
Machine Learning, Time-Series Models (XGBoost, LSTM, Prophet)
A global healthcare distributor needed help turning fragmented supply chain data into real-time, actionable intelligence to support sustainable growth.
The Challenge
The client distributes medical supplies on a global scale, but their supply chain function was split up between different business units. Data was fragmented, and the different systems were disconnected from each other.
This lack of end-to-end visibility meant that they could not consistently monitor supplier performance, track progress against their sustainability goals, or provide accurate, transparent reports to regulators.
It was also impacting their ability to scale their digital initiatives across the enterprise.
Our Approach
Coforge developed and deployed a supply chain-as-a-service framework, powered by an enterprise data hub that serves the entire organization. By implementing a unified digital data strategy, data from every business unit was integrated to provide consistent visibility across the value chain.
Impact to Date
Improved supply chain visibility through a transparent end-to-end data model
Improved supplier risk management and sustainability compliance
Enhanced inventory and cash management across the enterprise
Greater scalability to roll out digital infrastructure across different business functions