Sales Forecasting and Prediction in Super Markets: A Meta Survey

Deep learning is constantly gaining popularity in sales. forecasting and is one of the most inspiring research fields. Forecasting product demand is crucial for for-profit optimization and beneficial to all stakeholders in this industry. Forecasts are important, especially when deciding how accurately to predict future demand for items and inventory stock levels. This is important, particularly in the grocery or retail industry. The various approaches to maximize the profit include the arrangement of the items, the interest people have in them, and the profit from often selling items. We can use practical deep-learning algorithms to extrapolate future revenues using annual sales data. This approach impacts predicting product availability in stores to ensure they have the proper amount of inventory at the right time. The proposed review paper will explore the Product forecasting techniques used for owners to analyse Customer Intelligence in Purchasing products.