Retail forecasting: Research and practice
This paper reviews the research literature on forecasting retail demand. We begin by
introducing the forecasting problems that retailers face, from the strategic to the operational …
introducing the forecasting problems that retailers face, from the strategic to the operational …
[HTML][HTML] A new metric of absolute percentage error for intermittent demand forecasts
S Kim, H Kim - International Journal of Forecasting, 2016 - Elsevier
The mean absolute percentage error (MAPE) is one of the most widely used measures of
forecast accuracy, due to its advantages of scale-independency and interpretability …
forecast accuracy, due to its advantages of scale-independency and interpretability …
Performance metrics (error measures) in machine learning regression, forecasting and prognostics: Properties and typology
A Botchkarev - arxiv preprint arxiv:1809.03006, 2018 - arxiv.org
Performance metrics (error measures) are vital components of the evaluation frameworks in
various fields. The intention of this study was to overview of a variety of performance metrics …
various fields. The intention of this study was to overview of a variety of performance metrics …
A new typology design of performance metrics to measure errors in machine learning regression algorithms
A Botchkarev - Interdisciplinary Journal of Information …, 2019 - informingscience.org
Aim/Purpose: The aim of this study was to analyze various performance metrics and
approaches to their classification. The main goal of the study was to develop a new typology …
approaches to their classification. The main goal of the study was to develop a new typology …
Criteria for classifying forecasting methods
Classifying forecasting methods as being either of a “machine learning” or “statistical” nature
has become commonplace in parts of the forecasting literature and community, as …
has become commonplace in parts of the forecasting literature and community, as …
Parking prediction in smart cities: A survey
With the growing number of cars in cities, smart parking is gradually becoming a strategic
issue in building a smart city. As the precondition in smart parking, accurate parking …
issue in building a smart city. As the precondition in smart parking, accurate parking …
Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion
The demand for a particular product or service is typically associated with different
uncertainties that can make them volatile and challenging to predict. Demand …
uncertainties that can make them volatile and challenging to predict. Demand …
[HTML][HTML] Modeling and forecasting of COVID-19 using a hybrid dynamic model based on SEIRD with ARIMA corrections
The outbreak of novel coronavirus (COVID-19) attracted worldwide attention. It has posed a
significant challenge for the global economies, especially the healthcare sector. Even with a …
significant challenge for the global economies, especially the healthcare sector. Even with a …
Measuring forecasting accuracy: The case of judgmental adjustments to SKU-level demand forecasts
A Davydenko, R Fildes - International Journal of Forecasting, 2013 - Elsevier
Forecast adjustment commonly occurs when organizational forecasters adjust a statistical
forecast of demand to take into account factors which are excluded from the statistical …
forecast of demand to take into account factors which are excluded from the statistical …
Evaluating predictive count data distributions in retail sales forecasting
S Kolassa - International Journal of Forecasting, 2016 - Elsevier
Massive increases in computing power and new database architectures allow data to be
stored and processed at finer and finer granularities, yielding count data time series with …
stored and processed at finer and finer granularities, yielding count data time series with …