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 ...

There are many potential users of models that forecast demand and supply of workers for particular occupations. One group of users includes students, their parents, and advisors. Others include ...

Put down the pen and paper and shelve the spreadsheets. Artificial intelligence (AI) and advanced machine learning are the next-generation tools for demand forecasting in distribution. That was the ...

Analyst Insight: As parcel networks normalize post-pandemic but cost structures evolve, forecasting and demand planning have become continuous, data-driven disciplines. Shippers that integrate ...

In today’s ever-changing business landscape, generative AI has emerged as a powerful influence reshaping how supply chains operate. This technology is being applied to everything from demand ...

Changing consumer purchasing habits are making produce demand forecasting an arduous endeavor. It is vital that retailers accurately predict customer interests to avoid merchandising excessive amounts ...

Forecasting problems are cultural, not just technical. Despite decades of improved statistical models and better MAPE ...

A supply chain is a network of interdependent flows. When one node accelerates, it changes the pressure on adjacent ones.

Given inventory forecasting's impact to cash flow, capital allocation and profitability, many ecom businesses are optimizing ...

It is important to the nation that there be an adequate number of scientists and engineers. Industries that rely on scientific and technological research and development are increasingly important in ...