Naresh Erukulla explains how robust data engineering and AI orchestration at Macy's enhance retail forecasting, saving USD ...

Managers in a manufacturing environment often must forecast the amount of inventory and supplies needed to meet demands. The use of forecasting assumes that past trends will continue with little ...

AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic ...

Amid economic uncertainty, forecasting matters more than ever. Businesses often treat sales leaders’ forecasts like a North Star. Forecasts are the basis for strategic decisions, resource allocation, ...

With legacy load forecasting models struggling with unpredictable events that are becoming ever more common, power-hungry AI offers a solution.

While demand planning accuracy currently hovers around 60%, DLA officials aim to push that baseline figure to 85% with the help of AI and ML tools. Improved forecasting will ensure the services have ...

In today’s rapidly evolving business landscape, the ability to accurately forecast sales is more critical than ever. Yet, traditional sales forecasting methods are increasingly proving inadequate, as ...

Companies use strategies to reach their goals. One of the key elements of a company's operations is forecasting what goals are realistic, and to what extent the company will achieve them. Strategic ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...