Volatility makes it challenging to accurately forecast demand
Many demand forecasting models only use internal data and simple rolling averages to predict demand for their stores, but volatility can shatter these forecasts easily. Whether volatility is caused from unforeseen events or major shifts in consumer behavior, restaurants miss opportunities to drive profitability and create efficient operations when forecast models don’t factor in external data.