Description

Product sales prediction is a major aspect of purchasing management. One of the key challenges faced nowadays by organizations the dynamic, international and unpredictable business environment in which they operate. With growing customer expectations for price and quality, manufacturers today can no longer rely only on cost advantage that they have over their rivals. Predict the rising product based on sales are crucial in determining inventory stock levels and accurately estimating the future demand for goods has been an ongoing challenge in industries If goods are not readily available or if goods availability is more than demand overall profit can be compromised. As a result, sales prediction for goods can be significant to ensure that loss is minimized. Depending on this study, our project is creating a prediction model using deep learning algorithms for accurately predicting online best product sales. Deep learning algorithms are CNN and LSTM. The performance based LSTM achieved highest accuracy, precision, recall, and F-measure.