Senior Director Of Supply Chain Optimization
Current• Engineered optimal days-on-hand inventory model by SKU by distribution center by month in Python; reduced on-hand inventories by five days resulting in $0.5M in operational savings and $18.7M in working capital cash benefit• Enhanced supply chain processes by facilitating automation via algorithms in Python and SAP to optimize performance in supply chain functions to improve KPI's: increase of product availability at customers to 99%, reduction of inefficient transfers by 10%, and reduction of demurrage costs by 20% • Conceptualized, pitched, and currently leading project with Palantir to replace PowerBI based Supply Chain Command center and to transition all Python based supply chain automation algorithms related to logistics and customer service functions to the Palantir platform - beginning the journey to AI enabled automation within supply chain functions using Palantir's AIP module