AI Pharmaceutical Management System
Developed a cloud-native AI system for pharmaceutical inventory management, quality control, and demand forecasting.
Challenges
- Regulatory compliance
- Accurate demand prediction
- Integration with legacy systems
Solutions
- Implemented GxP compliant system
- Developed ML-based forecasting
- Created cloud-ready architecture
Results
99.9%
inventory accuracy
45%
reduction in wastage
30%
cost savings
Technologies Used
Machine Learning
Python
Docker
Kubernetes
PostgreSQL
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