Our Case Studies

Supply chain:
Monitoring & Risk Assessment

Situation

A Pharma manufacturer CDMO experiencing rapid growth had little real time visibility into their supply chain operations & was relying on manual processes for insights. Reliance on manual process resulted in errors, in-efficiencies, and timely decisions across their supply chain network.

Solution

  • Harmonized data from a few data sources for purchase, suppliers, inventory, cost, raw materials etc. on a cloud data platform
  • Designed and developed data and analytics pipeline to create analytics ready data products
  • Enabled multiple analytical dashboards for real time analytics for operators, managers, and executive leadership to track their end-to-end entire supply chain network
  • Developed predictive AI-ML models to assess the Supplier risks & ranking based on several key factors

Impact

Real-Time end-to-end visibility across supply chain operations

Comprehensive tracking of purchases, inventory, cost, machines, & batches

AI-Driven Supplier Risk Assessment for informed decision making

Cost synergies & efficiency with automated analytics and predictive insights