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 ...
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 ...
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 ...

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 ...
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 ...