To incorporate factors like market trends and consumer behavior into quantitative demand forecasting models, companies can utilize a combination of internal and external datasets. Internal data sources include sales data and enterprise external data, such as information on holidays and promotions. External datasets encompass broader factors like supply chain crises and geopolitical events. By analyzing these datasets alongside traditional quantitative historical data, companies can identify patterns and correlations that reflect market trends and consumer behavior. For instance, they can track sales performance during specific promotions or holidays and correlate it with external events to understand consumer preferences and behaviors better. This approach enables companies to enrich their quantitative models with qualitative insights, enhancing the accuracy and effectiveness of demand forecasting.