Product forecasts are a critical input into sourcing, procurement, production, inventory,
logistics, finance and marketing decisions. Numerous quantitative models have been …

Whilst the research literature points towards the benefits of a statistical approach, business
practice continues in many cases to rely on judgmental approaches for demand forecasting …

We study the conditions that influence judgmental forecasting effectiveness when predicting
demand in the context of fashion products. Human judgment is of practical importance in this …

Accurate forecasting has become a challenge for companies operating in today's business
environment, characterized by high uncertainty and short response times. Rapid …

Demand forecasts are the lifeblood of supply chains. Academic literature and common
industry practices indicate that demand forecasts are often subject to human interventions …

Various advanced systems deploy artificial intelligence (AI) and machine learning (ML) to
improve demand forecasting. Supply chain planners need to become familiar with these …

Expert knowledge elicitation lies at the core of judgmental forecasting—a domain that relies
fully on the power of such knowledge and its integration into forecasting. Using experts in a …

In an era where forecasts drive entire supply chains forecasting is seen as an increasingly
critical organizational capability. However, business forecasting continues to rely on …

This paper's top-level goal is to provide an overview of research conducted in the many
academic domains concerned with forecasting. By providing a summary encompassing …

Our research examines how to integrate human judgment and statistical algorithms for
demand planning in an increasingly data‐driven and automated environment. We use a …