Machine Learning, using ‘Big Data’, has been around for a decade and yet real improvements in demand forecasting remain elusive. Over-reliant on large data sets, they are rarely capable of forecasting new products for which there is no historical data. I propose a solution to this challenge, utilizing AI agents that incorporate factors derived from domain expertise that could impact demand like marketing investment, products positioned as the centerpiece of negotiations led by the sales division, favorable reactions from business partners, and social media sentiment prior to launch. When analyzing how similar products performed, considering the differences in conditions between the similar cases and the target product, AI agents can help forecast demand in a way that machine learning ...

From Issue: Man Meets Machine: How AI & Human Experience are Key to Successful Product Introductions
(Fall 2026)

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AI Agent for Forecasting New Products with Analogs: An Alternative to Big-Data Machine Learning