In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Imagine you’re a retail leader at a fast-growing wellness brand in the year 2030, looking ahead to next week’s demand and knowing that one wrong forecast could cost millions. You open your integrated ...

The retailers that succeed will be those that treat AI not as a standalone technology initiative but as a core operational ...

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 ...

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 ...

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 ...