Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/19577
Title: Predicting future sales
Authors: Mondal, Ronita 
Kala, Nilanjan 
Keywords: Future sales;Sales forecasting;Sales management;Kaggle;XG Boost;Random forest;Linear Regression
Issue Date: 2020
Publisher: Indian Institute of Management Bangalore
Series/Report no.: PGP_CCS_P20_137
Abstract: We are provided with the historical daily sales data per store per item along with their unit quantity price. The task for our team will be to forecast the total amount of each item that will be sold in each and every shop for the test set. In this submission the objective of the project is to understand the trend of sales from the historical data. After understanding and analysing the data we have to build a model which can be used to forecast the total amount of products that will be sold in each and every shop. The list of shops and the products sold from them change every month. We have to create a robust model which will be able to handle any such situation.
URI: https://repository.iimb.ac.in/handle/2074/19577
Appears in Collections:2020

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