How to Build AI Sales Forecasting Using CRM and Billing Data

AI sales forecasting is a feature within SaaS products that predicts future revenue by integrating CRM pipeline data with billing signals from platforms like Salesforce, HubSpot, and Stripe. This integration allows for more accurate forecasts by combining deal activity and subscription payment data through a unified API, eliminating the need for separate integrations for each provider. Many B2B SaaS products, such as revenue intelligence platforms and sales analytics tools, use AI forecasting to answer critical questions about potential revenue, deal closures, and pipeline comparisons to actual revenue. Key objects from CRM systems, like deal amount and probability, and billing data, such as payment total and subscription status, are used to calculate metrics like projected and actual revenue, enabling insights into revenue prediction, deal forecasting, and risk detection. Unified offers a streamlined approach to accessing these data sources, facilitating data retrieval and integration for AI models that provide predictive insights and generate explanations alongside forecasts. With support for a wide range of CRM and payment platforms, Unified's infrastructure simplifies the development of forecasting features, offering real-time data access and consistent object schemas to improve revenue predictions and actionable insights.