Demand forecasting errors are frequent, frustrating and expensive
Relying solely on historical transaction data for demand forecasting overlooks the dynamic nature of market conditions. By integrating real-time, high-quality external data and intelligence, businesses can significantly improve forecasting accuracy. This AI-powered approach allows for quick adaptation in response to current trends and events, enhancing decision-making and profitability with precise forecasting models.