The objective of this project was to leverage advanced data science techniques to enhance inventory management within the ... PharmaCorp faces a significant business challenge related to the ...

Modern retail businesses are in a position to handle fluctuating demands, issues related to globalization, rising logistics costs, and several other disruptions very frequently. These difficulties ...

Traditional inventory management is built on forecasting methods that often fail in the ... AI-powered inventory optimization changes this equation by leveraging machine learning, predictive ...

Inventory management is a crucial aspect of running a successful warehouse. It helps you optimize your space, reduce costs, avoid stockouts, and improve customer satisfaction. But how can you make ...

So, to depict the real-life situation, the different inventory cost coefficients are assumed to be an interval. Consequently, the resulting mathematical optimization problem is interval valued. Hence, ...

Portfolio optimization and back-testing.

With different names surrounding AI, let's identify what each one actually does to maximize efficiencies and provide better ...

Supplier and Team management. Cost Benchmarking. Closely work with other departments such as P&T, IT, Admin, HR and Finance, etc. Cost saving, OTD and Inventory optimization. Required skills & ...