From new tariffs and trade uncertainty to geopolitical tension and extreme weather events, external forces have upended traditional demand forecasting approaches. Among those most impacted are the CPG ...

For decades, businesses have relied on spreadsheets and manual data entry to forecast and manage cash flow. These traditional ...

AI-driven forecasting and optimization are transforming the automotive supply chain, improving demand accuracy, cutting inventory costs, and enhancing resilience. Studies highlight gains from ensemble ...

The Indian Meteorological Department plans to implement AI models to help improve forecasting, particularly for severe weather conditions like floods and droughts. The Indian government is testing ...

Researchers have developed a feature selection-based solar irradiance forecasting method to improve the operation of ...

From idle production lines to costly rush orders, poor spare parts forecasting can cripple operations. New AI, statistical models, and integrated tracking systems are helping companies predict demand ...

Amid the myriad discussions about AI – from the astounding amount of money being spent by vendors and enterprises and the debate about actual ROI those businesses are getting to the technology’s ...

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL (University College ...

Environment and Climate Change Canada says it will launch a new hybrid weather forecasting model this spring that combines ...