This paper presents a framework capable of accurately forecasting future sales in the retail
industry and classifying the product portfolio according to the expected level of forecasting …

Verifying the existence of long-memory feature is a crucial activity performed during the
development process of the autoregressive integrated moving average (ARIMA) model. The …

With customers' increasing reliance on e-commerce and multimedia content after the
outbreak of COVID-19, it has become crucial for companies to digitize their business …

Forecasting is important for a company in achieving goals effectively and efficiently.
Forecasting aims to determine the next steps to be taken based on historical data. PT …

The Bass diffusion model has been successfully applied in product sales forecasting, and it
performs particularly well in consumer durables sales forecasting. However, the traditional …

La leche posee un elevado valor nutricional y constituye uno de los alimentos más
consumidos a nivel mundial. Su producción tiene un impacto positivo en el desarrollo …

Along with urbanization, surface urban heat island (SUHI) has attracted more attention. Due
to the lack of perspective of spatial heterogeneity in relevant studies, it is difficult to propose …

Purpose Despite the importance of demand forecasting in retail industry, its influence on
supply chain agility has not been sufficiently examined. From a total information technology …

The assignment problem (AP) is a discrete and combinatorial problem where agents are
assigned to perform tasks for efficiency maximization or cost (time) minimization. AP is a part …

Predicting product sales of large retail companies is a challenging task considering volatile
nature of trends, seasonalities, events as well as unknown factors such as market …