Can sales forecasting software improve forecast accuracy?

Yes, when it does more than re-read your pipeline. AI models improve accuracy by learning demand patterns across thousands of SKUs, cleaning noisy history and updating continuously as new data arrives. Probabilistic approaches add a confidence range instead of a single number, which helps planners manage uncertainty. In practice, Flowlity improved forecast accuracy by 15% at Saint-Gobain and helped raise its service level from 95.8% to 97.2%. Accuracy gains are largest when the tool forecasts demand and connects it to inventory, not when it only summarizes CRM deals.