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 ...

BDO USA reports that generative AI helps retailers forecast demand by analyzing real-time data trends, improving inventory accuracy and decision-making.

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 ...

Many industries face growing demand complexity amid macroeconomic uncertainty, and the automotive aftermarket is no different. In our industry, diversity in vehicle make, model and engine ...

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 ...

When supply chain practitioners think about forecasting, they focus on demand forecasting. Demand forecasting is essential, but the number of different forecasts that an effective organization should ...

This paper develops G3MOD, a semi-structural gap-trend model designed for frequent external sector forecasts crucial in macroeconomic forecasting. Focused on the G3 economies (US, Euro Area, and China ...

HARRISBURG, Pa. — The forecasts are eye-popping: utilities saying they’ll need two or three times more electricity within a few years to power massive new data centers that are feeding a fast-growing ...