normality assumption. We apply our approach to a large data set of SKU-level sales forecasts made by experts and we compare the … outcomes with those for statistical model-based forecasts of the same sales data. We find substantial evidence for asymmetry in …

We analyze the behavior of experts who quote forecasts for monthly SKU-level sales data where we compare data before …

A Forecast Support System (FSS), which generates sales forecasts, is a sophisticated business analytical tool that can … managers to quote their own forecasts. These sales forecasters (managers) can take the FSS output as their input, but they can … for a large Germany-based pharmaceutical company, can in fact be used to manage the sales forecasters by giving clear …

recent years, the industry has registered a good sales growth — both domestic as well as exports — partly because of the … industry in India, analyzes the current sales scenario of tractors, and forecasts the sales for the year 2012-13, including … sales forecast for 13 different states. The study was done using the statistical package MINITAB. The most appropriate ARIMA …

This paper presents a framework capable of accurately forecasting future sales in the retail industry and classifying …-testing strategy. Real-world sales forecasting benchmark data obtained experimentally in a production environment in one of the biggest …

operational decisions, which are guided by the sales forecast. The new product sales forecasting problem is challenging when … compared to forecasting sales of existing products. For existing products, historical sales data gives an indicator of future … sales, but this data is not available for a new product. We propose a novel sales forecasting model that is estimated with …

information flow from the supplier to customers, we find that the frequencies of management earnings and sales forecasts are …