Demand Sensing

Demand sensing uses real-time signals — point-of-sale data, weather patterns, social media trends, and market events — to adjust short-term demand forecasts. Unlike traditional forecasting that relies on historical averages, demand sensing captures shifts as they happen. For African FMCG, critical signals include mobile money transaction volumes, field rep observations from informal outlets, school term calendars, and harvest season timing.