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 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 ...

Tourism demand forecasting has evolved into a multifaceted discipline essential for informing policy, investment, and operational planning in the tourism sector. Traditionally reliant on historical ...

The logistics industry faces a myriad of challenges, from supply chain disruptions to fluctuating consumer demand. And while traditional forecasting methods have been acceptable for years, they often ...

As businesses become increasingly reliant on data to make informed decisions, the importance of accurate and precise analytical business intelligence cannot be overstated. However, to truly tap into ...

In this special guest feature, Geoff Birnes, SVP of Customer Engagement at Atrium, discusses how the CRM space is being completely altered by the introduction of machine learning, data analytics 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 ...

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 ...

Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...