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 ...

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 ...

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 ...

In the intricate world of supply chain management, understanding the nuanced differences between demand forecasting and demand planning is crucial – the optimization operations, any reduction in costs ...

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 ...

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 ...