Demand Planner
Current➢ Leveraged advanced data analytics techniques to construct and maintain the demand forecast models for a diverseportfolio of over 3000SKUs. Extracted and processed historical sales data through SQL and Python, resulting in ansurge of over 15% in demand forecast accuracy.➢ Proactively managed the stock level by closely monitoring overstocked items. Collaborated with relevant departmentto dynamically adjust sales plan, ensuring days-on-hand levels.➢ Oversaw the sales process for short-dated products by implementing data driven strategies. Identified close-to expired products using historical data and executed precise expiration control across three regions, which effectively contained expiration costs to under 0.5%.
Mar 2022 - Present
