AN INTELLIGENT MODEL FOR PREDICTING THE SALES OF A PRODUCT

The approach shown in this paper is a systematic, accurate and precise model building to be used in computing and predicting current scenario and future projection of a product in market respectively. Product change or updating may discontinue the production of any industry. Future forecast of the product will give time to switch over in new product. Forecasting is an important factor, to the most basics processes in any organization, to plan and deliver products. To be able to predict next purchases is a valuable thing to marketing. The methodology used in this paper is based on machine learning and deep learning for analyzing the data and fetch useful information from the patterns and trends. In previous methodology only a regressive approach is used for calculation of slope. But in our approach, we have used sentimental analysis of products by setting up models in a productive way and had occupied accurate models for each Case in a life cycle of product.