Sales Prediction System Using Machine Learning

EasyChair Preprint 3243

Abstract

The objective is to perform techniques like Clustering Model and measures for sales predictions. On the basis of a performance evaluation, a best suited predictive model is suggested for the company sales trend forecast. The results are summarized in terms of  accuracy of machine learning techniques taken for prediction . The main objective of the system is to analyze the future sales of a particular company and to predict whether a particular sales will increase or decrease by using different machine learning algorithms like – Random Forest just one commodity is meaningless to sellers. A general prediction for all commodities is needed.Data mining is a discipline that can be used to gather information by data classifier,  Decision Tree, and Linear Regression.

Keyphrases: Decision Tree, Random Forest, Sales, linear regression, predictive model

@booklet{EasyChair:3243,
  author    = {Mansi Panjwani and Rahul Ramrakhiani and Hitesh Jumnani and Krishna Zanwar and Rupali Hande},
  title     = {Sales Prediction System Using Machine Learning},
  howpublished = {EasyChair Preprint 3243},
  year      = {EasyChair, 2020}}