A GA-Based Sales Forecasting Model Incorporating Promotion Factors

A GA-Based Sales Forecasting Model Incorporating Promotion Factors

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

Incorporating Price and Inventory Endogeneity in Firm-Level Sales Forecasting

As numerous papers have argued, sales, inventory, and gross margin for a retailer are interrelated. We construct a simultaneous equation model to establish these interrelationships at a firm level. Using publicly available financial data we estimate the six causal effects among sales, inventory, and gross margin. Our results show that sales, inventory, and gross margin are mutually endogenous. ...

Forecasting sales using store, promotion, and competitor data

Sales forecasting is a common topic in business. Our task is predicting a famous drug company daily sales for 1,115 stores located across Germany for six weeks in advance. Store sales are influenced by many factors. Our project aims to create a robust prediction model. Based on Gradient Boosting and Random Forest, our model performs well in this sales forecasting competition with resulting in r...

A Sales Forecasting Model for an Automotive Distributing Company

One way to improve inventory management is to analyze sales forecasting information because those data can improve decision making. Thus, this paper proposes the application of Artificial Neural Networks (ANN) to generate two prediction models. The first one is for a product and the second model is for a group of products of an automotive distributing company in Brazil. Different architectures ...