Supply chain forecasting is becoming an increasingly critical component of operational success. Accurate forecasting enables companies to optimize inventory levels, reduce waste, enhance customer ...

A peer-reviewed industry survey highlighting gaps in traditional demand forecasting and the role of AI in new product ...

The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...

The landscape of demand forecasting, data science and machine learning is rapidly evolving, as companies seek innovative approaches to handle the intricate intersection between technology and consumer ...

Researchers have developed a new forecasting model that helps companies more accurately estimate how many customers are interested in a product -- even when key data is missing. The study introduces a ...

Bed capacity management is of critical importance to health systems, impacting patient care and safety, operational efficiency, system sustainability and financial performance. Efforts to improve and ...

Fashion has an inventory management problem, and it’s only intensified in recent years. Solving these challenges has proven elusive, leaving the industry with billions in unsold stock annually and ...

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 ...

BENTONVILLE, Ark.--(BUSINESS WIRE)--Crisp, a leading provider of retail data solutions, has acquired Shelf Engine, the AI pioneer in demand forecasting and automated ordering. Crisp will integrate ...