The Fast Company Executive Board is a private, fee-based network of influential leaders, experts, executives, and entrepreneurs who share their insights with our audience. BY Guy Yehiav By leveraging ...

The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...

Sales and demand forecasting has evolved markedly with the convergence of traditional statistical techniques and cutting‐edge machine learning methods. Time series analysis remains central to ...

Supply chain leaders are increasingly turning to artificial intelligence to revolutionize their demand-forecasting and inventory-management strategies. This shift comes as traditional forecasting ...

The shock event methodology previously outlined has been applied to two example, real-life airports to illustrate the application of the methodology and to one illustrative GA airport to demonstrate ...

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 ...

Recent advances in forecasting demand within emergency departments (EDs) have been bolstered by the integration of machine learning and time series analytical techniques. The objective of these ...

SAN FRANCISCO--(BUSINESS WIRE)--Ikigai Labs, the leader in AI for enterprise tabular and time-series data, today announced the launch of its new Demand Forecasting and Planning solution. Built to ...

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 ...

The Interntional Energy Agency is currently predicting that oil demand will peak this decade, even as it continues to rise. While that might happen, when the real world is moving in the opposite ...

Fashion has an inventory management problem, and it’s only intensified in recent years. Solving these challenges has proven elusive, leaving the industry with billions in unsold stock annually and ...