What’s the Solution? “Good enough” sales/demand forecasting is not good enough. Distributors that continue to rely on static forecasting will struggle with inefficiencies and higher costs.

Demand forecasting is a key component of several business operations, enabling businesses to reduce waste, meet the customer’s needs, and optimize their inventory. Given the rapid growth of the ...

Experiments for the paper "Learning Causality Structures from Electricity Demand Data" using causal discovery tools to improve energy demand forecasting using energy consumption data from Argentina.

Specifically, our objectives include: develop a spatio-temporal machine learning model to forecast acute malnutrition among children in Kenya using DHIS2 data, enhance forecasting capability by ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

The integration of forecasting and decision analysis will greatly benefit an analytical system for intelligent decision-making. The majority of business organizations heavily rely on forecasts of ...