Top 10 Sales Forecasting Tools 2026

Gong's Revenue AI OS represents a fundamental shift in how forecasting data gets collected. Rather than relying on manual CRM updates, Gong automatically captures and analyzes every customer interaction—calls, emails, meetings—to extract signals that predict deal outcomes. The platform's multimodal AI processes conversation data, engagement patterns, and stakeholder behavior to forecast with precision. This approach eliminates the forecast bias that comes from salespeople updating their own deal stages.

Aviso brings predictive AI forecasting specifically designed for mid-market B2B sales teams managing 30-500 person sales organizations. The platform applies machine learning to your historical deal data to identify patterns that predict close probability. Unlike generic forecasting tools, Aviso's model learns your specific sales cycle length, seasonality, and deal characteristics. Teams see forecast accuracy improve significantly after 2-3 quarters of historical data training.

Chorus pioneered conversation intelligence for sales teams and remains a powerful forecasting tool for organizations that base predictions on customer interaction quality. The platform records and transcribes calls, identifies coaching moments, and correlates conversation patterns with deal outcomes. This gives you precise insight into which rep behaviors, customer responses, and conversation types predict success. Forecasting improves when you understand not just what deals are in the pipeline, but why certain conversations lead to wins.

People.ai automatically captures activity data across your entire GTM organization without requiring manual updates. The platform ingests email, calendar, and CRM data to build comprehensive engagement profiles for each prospect. This activity data becomes the foundation for forecasting—because instead of relying on a salesperson's forecast stage, the system predicts deal outcomes based on actual customer engagement patterns. Teams see significant improvements in early warning systems for at-risk deals.

Weflow focuses on the intersection of workflow automation and forecasting visibility. Rather than treating forecasting as a separate function, Weflow embeds it into the deal management workflow. Sales managers see pipeline health and forecast confidence alongside the ability to automate next steps, update stakeholders, and track deal progression. This integration makes forecasting actionable rather than just informational.

Scratchpad positions itself as a lightweight alternative to heavy deal management and forecasting systems. The tool focuses on real-time deal collaboration, letting sales teams update deal information, share notes, and stay aligned on next steps without jumping between multiple systems. While less sophisticated than AI-driven forecasting platforms, Scratchpad's strength is in data quality—reps update information consistently because it's simple and part of their regular workflow.

Dooly focuses on reducing the time salespeople spend updating CRM systems by streamlining the capture and reporting of pipeline data. The platform sits on top of your CRM and makes deal updates faster and more intuitive. While not primarily a forecasting tool, Dooly improves forecast accuracy by encouraging regular, accurate CRM updates through a better user experience. Teams using Dooly report higher data quality in their pipelines, which directly improves forecasting reliability.

BoostUp applies AI-driven performance analytics to identify which sales activities correlate with successful outcomes. The platform analyzes activity data (calls, meetings, proposals) and compares high performers' behaviors to the rest of the team, then surfaces coaching recommendations. For forecasting purposes, BoostUp helps teams understand the early warning signs of deals that will stall or close, improving predictive accuracy through behavioral pattern recognition.

Aviso's pipeline analytics module offers a cost-effective alternative to full-featured forecasting platforms for organizations not ready for enterprise solutions. The tool applies machine learning to historical deal data to identify which pipeline characteristics predict close probability. It's particularly effective for teams with consistent sales methodologies and clear sales stages. Many mid-market teams use Aviso to move beyond spreadsheet forecasting without the complexity of enterprise platforms.