The traditional method of sales forecasting, which relies on guessing or using outdated statistical modeling techniques, has been largely replaced by more accurate methods. The use of artificial intelligence (AI) in sales forecasting offers a stark contrast to the old way of doing things, as it can crunch large amounts of data and decipher correlations to provide more accurate predictions. AI-powered models can accurately identify emerging trends and make forecasts up to 82% accurate, compared to traditional methods which are often inaccurate. Additionally, AI can help track customer experiences, buyer intent, and other critical data to guide sales organizations and sales managers in making better business decisions. With the ability to summarize relevant numbers quickly and provide actionable insights, AI can improve forecast accuracy and enable companies to optimize their sales strategies and implement effective sales quotas.