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 …

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

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 …

Demand forecasting is a crucial aspect of the planning process in supply-chain companies.
The most common approach to forecasting demand in these companies involves the use of …

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

Firms require demand forecasts at different levels of aggregation to support a variety of
resource allocation decisions. For example, a retailer needs store-level forecasts to manage …

Supply chain professionals: master pioneering techniques for integrating demand and
supply, and create demand forecasts that are far more accurate and useful! In Demand and …

Accurate demand forecasting is critical for supply chain efficiency, especially for the
pharmaceutical (pharma) supply chain due to its unique characteristics. However, limited …

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

Using data science in order to solve a problem requires a scientific mindset more than
coding skills. Data Science for Supply Chain Forecasting, Second Edition contends that a …