Demand Sensing

Use of recent demand signals and near-real-time data to adjust short-term forecasts.

Examples

01Demand sensing uses daily store sales and weather data to raise the short-term forecast for ice cream before a heat wave.
02The planning team reviews demand sensing signals daily for the top 50 products, comparing them with the monthly forecast.
03When demand sensing shows a 30 % rise in one region, logistics moves stock from the central warehouse within 24 hours.