Case Study: Analysis and Predictions of Shipment Load in Festive Season

Abstract

A time-phased forecasting in rest of the year has a huge impact shipping costs, however during a festive season of the year, well predicted and analyzed re-engineering of shipment load plays a major role in bringing up sales. The major concern of the customer is to get delivery on-time, whereas that of the wholesaler / retailer is to provide delivery without any complaint in order to retain the customer. In the framework of competitive supply chain market, necessary accurate Shipping load forecasting tools are required. With the focus of improving prediction accuracy, this case study presents use of Time-series models, multiplicative decomposition model (MDM) and smoothening techniques, on shipping load demand of Arora-Ludhiana-Handlooms during festive seasons for short-term forecasting.