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 ...
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 ...
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 ...
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 ...
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 ...
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