Sales Slicer's AI assigns a score to each deal in a salesperson's pipeline and flags which deals are unlikely to close in time to be included in a sales forecast. The company states this system identifies deals that should be removed from the forecast with 92% accuracy, though that claim has not been independently verified.

The platform uses predictive analytics — a form of machine learning that estimates future outcomes based on historical data — to evaluate each active opportunity and predict the probability it will close within a given period. It also analyzes deal timelines to generate estimated closing dates, giving managers a more data-grounded view of when revenue is likely to arrive. The 92% accuracy figure is stated on the company's product pages but no public methodology, test data, or third-party validation has been published to support this specific claim.