Introduction: The New Era of Sales Forecasting

Forecasting accuracy is the linchpin of effective revenue operations and strategic GTM execution. As we approach 2026, the maturation of AI-driven forecasting tools is transforming how enterprise organizations predict, plan, and execute on revenue. In this guide, we explore the top 9 AI tools that are reshaping forecasting for modern sales organizations, with a special focus on actionable insights and enterprise impact.

Why AI-Driven Forecasting Matters for RevOps Leaders

Traditional forecasting, reliant on rep intuition and static spreadsheets, is no longer sufficient. AI creates a step-function improvement by ingesting vast data sets—CRM histories, meeting transcripts, buyer signals, and even market shifts—to deliver predictive and prescriptive insights. For RevOps, enablement, and sales leadership, this means:

• More accurate pipeline visibility and risk assessment

• Proactive deal management and coaching

• Alignment between sales, marketing, and finance

• Reduced forecast volatility and surprises

Selection Criteria: What Makes a Best-in-Class AI Forecasting Tool?

For this list, we've prioritized platforms that:

1. Leverage advanced machine learning and NLP for predictive analytics

2. Integrate deeply with CRM, email, and calendar systems

3. Surface actionable insights (not just data dumps)

4. Enable real-time pipeline inspection and scenario planning

5. Provide explainability and transparency for enterprise stakeholders

1. Proshort: AI-Powered Sales Enablement & Revenue Intelligence

Website: proshort.ai

Proshort offers a comprehensive suite for modern GTM teams, blending meeting intelligence, deal pipeline analytics, coaching, and full-lifecycle automation. Its contextual AI Agents (Deal Agent, Rep Agent, CRM Agent) transform insights into tangible actions—from risk flagging to automated CRM follow-ups. Proshort's forecasting module synthesizes call sentiment, CRM trends, and buyer engagement to project deal probabilities with unusual precision. Deep integrations with Salesforce, HubSpot, and Google Suite allow seamless data flow and contextual recommendations.

Key Features

• Real-time forecasting dashboards with AI-driven risk scoring

• Automatic meeting capture and summarization for deal inspection

• Deal health and MEDDICC/BANT coverage analytics

• Scenario modeling and pipeline "what-if" analysis

• Automated follow-ups and CRM data hygiene

Enterprise Impact

Proshort enables operational rigor, faster deal velocity, and coachable moments based on real-world buyer interactions. RevOps leaders consistently cite increased forecast accuracy and reduced manual intervention.

2. Clari: End-to-End Revenue Operations Platform

Website: clari.com

Clari is a pioneer in revenue intelligence, providing powerful AI-driven forecasting and pipeline management. Its platform automates data capture, risk assessment, and forecast rollups, giving leadership a real-time view of pipeline health and commit accuracy.

Key Features

• Pipeline inspection and AI-powered risk scoring

• Automated forecast rollups and scenario planning

• Deal engagement tracking and activity capture

• Deep CRM and email/calendar integrations

Enterprise Impact

Clari is favored by large, complex sales organizations for its ability to drive forecast rigor and reduce quarter-end surprises. Its transparency and explainability features make it a trusted choice for cross-functional alignment.

3. Gong Forecast: Conversation-Driven Forecasting Insights

Website: gong.io

Gong has expanded from conversation intelligence into revenue forecasting, using AI to analyze every sales call, email, and CRM update. Its forecasting tool surfaces deal risks and validates rep forecasts against actual buyer engagement and historical patterns.

Key Features

• Automatic deal inspection via conversation data

• Forecast validations and risk alerts

• Coaching opportunities based on real buyer objections

• Powerful analytics for pipeline and sales cycle trends

Enterprise Impact

Gong’s unique strength lies in tying actual customer conversations to forecast accuracy, helping RevOps and enablement leaders coach more effectively and spot sandbagging or blind spots.

4. People.ai: Data-Driven Pipeline and Rep Analytics

Website: people.ai

People.ai leverages AI to capture all revenue activity—meetings, emails, calls—and map it to CRM records, creating a single source of truth for pipeline analytics and forecasting. Its predictive models project deal outcomes based on both activity and behavioral data.

Key Features

• Activity capture and CRM mapping automation

• AI-based pipeline risk scoring

• Rep performance and engagement analytics

• Forecast rollup and scenario analytics

Enterprise Impact

People.ai is especially valuable for organizations seeking to eliminate manual data entry and improve forecast accuracy through objective, activity-based analytics.

5. Aviso: Predictive Forecasting and Deal Guidance

Website: aviso.com

Aviso's AI platform delivers predictive forecasting, advanced pipeline analytics, and deal guidance. Its algorithms ingest historical CRM data, engagement signals, and external factors to model forecast scenarios and surface next-best actions.

Key Features

• Predictive forecasting with explainable AI

• Deal risk analytics and scenario modeling

• Cross-functional forecast collaboration

• Integration with Salesforce, Microsoft Dynamics, and more

Enterprise Impact

Aviso is ideal for mature RevOps teams seeking greater transparency, explainability, and collaboration in their forecasting process.

6. InsightSquared: Analytics-First Forecasting Platform

Website: insightsquared.com

InsightSquared combines advanced analytics with AI-driven forecasting. Its platform helps sales leaders identify pipeline gaps, track forecast changes, and measure rep performance against real-time benchmarks.

Key Features

• Automated forecasting and pipeline trend analytics

• Deal change tracking and audit trails

• Customizable dashboards and scenario planning

• CRM data quality monitoring

Enterprise Impact

InsightSquared is valued for its transparency, compliance features, and rich analytics—making it a fit for organizations with complex forecasting requirements.

7. Aviso AI: Advanced Predictive Forecasting and Revenue Intelligence

Website: aviso.com (Note: Aviso appears twice due to strong positioning in both forecasting and deal guidance.)

Aviso’s deep learning models go beyond traditional trend analysis, incorporating external market signals and account-level risk variables. The platform delivers predictive forecasts, risk scenarios, and recommended deal actions.

Key Features

• Advanced predictive analytics and scenario modeling

• Automated forecast rollups and deal inspection

• Market signal ingestion for external risk assessment

• Collaborative forecasting with audit trails

Enterprise Impact

Aviso’s dual focus on prediction and actionability helps large revenue teams align on forecast accuracy and proactively resolve pipeline risk.

8. Salesforce Einstein Analytics: Native AI for Forecasting

Website: salesforce.com

Einstein Analytics brings AI-powered forecasting natively to the Salesforce platform. It leverages CRM data, historical trends, and predictive models to surface pipeline risks and forecast changes in real time.

Key Features

• Native integration with Salesforce CRM

• Predictive forecasting and risk insights

• Customizable dashboards and forecast rollups

• Real-time alerts for pipeline changes

Enterprise Impact

For organizations already invested in Salesforce, Einstein Analytics provides an AI-driven, seamless forecasting experience directly within their existing workflows.

9. Anaplan: Connected Planning for Revenue Operations

Website: anaplan.com

Anaplan is a leader in connected planning, enabling organizations to align sales, finance, and operations forecasts with AI-driven scenario modeling. Its collaborative platform empowers cross-functional teams to plan, pivot, and forecast at scale.

Key Features

• Integrated sales, finance, and ops forecasting

• AI-based scenario and sensitivity analysis

• Collaborative planning workflows

• Enterprise-scale security and compliance

Enterprise Impact

Anaplan is best suited for large enterprises with complex planning needs, offering a centralized source of truth for all forecasting and planning workflows.

Comparative Table: Top 9 AI Forecasting Tools for 2026

Key Trends Shaping AI Forecasting in 2026

• Contextualization Over Raw Data: Tools like Proshort and Gong are leading a shift from data aggregation to contextual, actionable intelligence for every deal and rep.

• Explainable AI: As AI becomes more integral to forecasts, platforms are investing in transparency and auditability for enterprise buyers.

• Seamless Workflow Integration: Deep, native integrations with CRM, email, and calendar systems are now table stakes.

• Scenario-Based Planning: AI-powered "what-if" analysis and dynamic scenario modeling are critical for agile GTM strategies.

How to Select the Right AI Forecasting Platform

When evaluating AI forecasting solutions, consider:

• Integration depth: Can the tool plug into your existing tech stack and workflows?

• Actionability: Does it surface insights your teams can act on in real time?

• Transparency: Can you explain AI-driven forecasts to executive stakeholders?

• Scalability: Will it support your growth into new segments, markets, or teams?

• Security and compliance: Does it meet your enterprise data standards?

Conclusion: Future-Proofing Your Revenue Engine

Forecasting is no longer a backward-looking, quarterly exercise. With the right AI-powered platform—whether Proshort, Clari, or another leader—RevOps and enablement leaders can achieve unprecedented accuracy, agility, and cross-functional alignment. The future belongs to teams that harness context-rich, action-oriented AI to turn insight into execution and forecast into fact.