SHORT TERM PRICE FORECASTING OF A PRODUCT IN THE FIELD OF E-COMMERCE USING ARTIFICIAL NEURAL NETWORK APPROACH
| Main Authors: | A. M. Chandrashekhar, H. P. Shivaraj, M. S. Jeevitesh |
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| Format: | Article |
| Terbitan: |
, 2016
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/61832 |
Daftar Isi:
- E commerce is an evolving business and now there are around thousands of products in a single website. In each organization there are separate Business Units to monitor the price and variations of each and every product to maintain their revenue for the Organization keeping their profit per product. Based on the business needs product value may decrease and increase based on demand of the product in the market. Hence changing the product value based on the demand needed to be changed manually in the current scenario.This requires lots of human effort as there are many such products in the market which loses and gains demand often. Hence to overcome this scenario there needed an automated system which can predict the price based on the current demand which may increase their profit but never incur a loss. In this automated system the main aim is to monitor the price of each product based on their past sales, price variations and Demand. It can forecast the price of the product on regular intervals. In this paper we have used the artificial neural network concepts and machine learning for developing this automated system.