Case Study
Leveraging AI/ML for inventory allocation optimization
- Life Sciences
- Manual inventory management process making it challenging to account for changing market events
- Experienced stock out due to unexpected spike in demand for one of the key brands
- Fluctuating demand across portfolio of multiple brands
- Need to optimize drug supply chain to increase forecasting predictability
Lower Inventory levels reducing holding costs