What Informal Economies Can Teach Us About Early Warnings
In this article I present a case for using real-time search spikes and other unstructured data as early indicators of operational risk. It highlights how terms like “fuel long queue” or “black market dollar rate” can precede formal disruptions in supply and demand. I introduce a tool under development designed to translate publicly available data into proactive disruption alerts, especially for users in low-data or informal environments. By mapping search trends to operational risks like fuel shortages, border closures, or protests, the tool offers a practical, accessible alternative to traditional reactive ...
From Issue:
Forecasting Reimagined: The Impact of LLMs on Demand Forecasting
(Fall 2025)
IBF Journal Article by Oluwatayo Okorie, originally published in Fall 2025

What Informal Economies Can Teach Us About Early Warnings