Learn how a renowned pharma giant based in the USA revolutionized its supply chain operations with advanced analytics, reducing sourcing cycle times, improving supplier quality, and achieving significant cost savings.
This case study includes:
A leading pharmaceutical company with a diverse product line, dedicated to addressing critical healthcare concerns and ensuring their products reach healthcare providers and patients nationwide.
The client faced multiple hurdles in identifying new suppliers, inefficient sourcing processes, and a lack of predictive insights for strategic decision-making in their supply chain and procurement operations.
Our data engineers deployed supply chain analytics solutions, including advanced data analytics for supplier identification and evaluation, automated sourcing analytics, and more. This resulted in reduced sourcing cycle times, improved supplier quality, enhanced decision-making, and mitigation of supply chain disruptions.
Read the full case study to discover how you can transform your pharmaceutical supply chain with automated analytics…
Data Engineering
AI & Machine Learning
By Use Cases
Business Intelligence & Tableau
