Sales Forecasting Using Convolution Neural Network

Sales forecasting is an essential component of business management, providing insight into future sales and revenue. It critical for effective inventory cash flow, growth planning. While many retailers rely on simple Excel functions or subjective guesses from the industry increasingly turning to machine learning techniques develop more accurate reliable prediction models. Among these techniques, Convolutional Neural Networks (CNN) emerged as a suitable option due their ability learn improve accuracy over time. CNN applies several layers make predictions, adjusting weights with each input data point minimize error. As result, neural networks can significantly market operations productivity businesses. The validity proposed model compared Facebook Prophet method, which known recent time series method.