Study on Data Analysis of Postal Section Routine and its improvement using Machine learning

Abstract

This Indian  Post  Office  acts  as a traditional saving  mode  for  many section of  society  especially  to  rural households. It is reported that the postal sections have it’s routine movement of business, That data collected on daily basis will be useful to improve its business. The project aims at collecting data on regular postal section routine like sale of stamps, speed post booked and delivered, money-order, postal saving deposits, parcel movement,PLI/RPLI etc.From the data it is proposed to carry out supervised ML process to find its behavioral business clusters. The main goal of this thesis is to develop a machine learning model that could predict impact of COVID-19 using suitable algorithm and to develop such a model for the various products of department of post, a literature study alongside an experiment is set to identify a suitable algorithm to assess the features that impact the prediction model.