The Prediction Problem: How Demand Forecasting became Critical to American Manufacturing

Contributor content. Read about Vishal Singh's role as a demand forecasting expert from global tech markets to the industrial ...
insideHPC

Demand Forecasting Mistakes in the Retail Industry

In this special guest feature, Aaron Hoffer, Lead Data Scientist for Alloy, discusses common problems he has seen in forecasting processes, and the importance of focusing on “true demand.” In his ...
Supply Chain

AI/ML Capabilities Bring Better Signals, Models, and Collaboration to Demand Forecasting

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 ...

Commercial Forecasting at Scale: Tanmay Sharma’s Approach to Accuracy, Levers, and Trust

Tanmay approached forecasting as a system design problem. The goal was to produce decision-ready forecasts at portfolio scale ...
Forbes

How AI And LLMs Are Redefining Demand Forecasting In The Automotive Aftermarket

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 ...
Supply Chain

Data-Driven Forecasting and Demand Planning for 2026

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 ...