  We describe a supply chain optimization model deployed in an online fashion
e-commerce company in India called Myntra. Our model is simple, elegant and
easy to put into service. The model utilizes historic data and predicts the
quantity of Stock Keeping Units (SKUs) to hold so that the metrics "Fulfilment
Index" and "Utilization Index" are optimized. We present the mathematics
central to our model as well as compare the performance of our model with
baseline regression based solutions.
