Here's an AI/ML-powered forecasting framework that combines the art of human judgment with the science of machine learning.

Legacy forecasting relies on assumptions of linear growth and gradual changes — an approach not fit for modern business and frequent disruption. This piece explains why traditional "good enough" ...

Demand Forecasting: Your New Secret Weapon for Efficiency and Cost Savings - Let’s be honest—guesswork isn’t a strategy for successful manufacturing. Producing too much? You’re stuck with piles of ...

Airbus revised up its forecast for airplane demand over the next 20 years on Thursday, telling investors and suppliers the air transport industry was expected to ride out the current wave of trade ...

Oracle raised its annual revenue growth forecast on Wednesday, betting on robust demand for its cloud offerings from companies deploying artificial intelligence, sending its shares up more than 7% ...

The retailer also supports those trying to become mothers. For every 25 -pack gift box (its most popular Mother’s Day gift item) that’s purchased, Baked By Melissa will donate $5 to the Baby Quest ...

One of the biggest challenges in demand forecasting is ensuring that models developed by data scientists align with the needs of the business.

OPEC cut forecasts for global oil demand growth slightly this year and next as President Donald Trump’s tariff onslaught takes a toll on consumption, while remaining more bullish than other ...

Judgmental forecasting depends on the input from business experts and insights from market data. Demand forecasting through causal analysis examines how different factors influence demand patterns.

One of the most promising AI use cases in retail is a challenge that has bedeviled retailers for decades — demand forecasting.

Silver is gaining traction, helped by robust industrial consumption, a large supply deficit and lingering global uncertainty. Click to read.

Meteorological and calendar features influence short-term forecasting extensively, whereas economic factors influence long-term load patterns. Finally, we have identified the trends and research gaps ...