Do you enjoy solving complex problems via the means of data analysis, math, statistics and automation? Do leveraging information retrieval, high performance computing and machine learning excite you? Are you thrilled by the thought of pushing technology to do things you never thought possible? In the world of E-Commerce business, have you ever wondered how B-to-C companies distribute millions of their products to different locations in order to maximize product availability to their customers while keeping the minimal inventory levels and be profitable?
IPC Selection Economic is responsible for managing Amazon’s inventory by helping Amazon efficiently choose the economic ASIN selection to improve it's profitability. The challenge of IPC Selection Economic system is to base on economic model to determine ASIN's selection and in-stock by considering different cost structure for different product categories and what rules can be best applied to determine the best next steps in the entire ASIN selection processes; to drive improvements in workflow for new ASIN on boarding and assess profitability of on-going in-stock ASINs. The IPC Selection Economic system employs data mining technologies, statistics methodologies and computational algorithms to solve the sophisticated inventory controlling problems.