Best 6 Sales Forecasting Software in 2026: Top Tools for Accurate Pipelines

By Great Startup Tools

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If you need accurate, real-time revenue predictions, sales forecasting software can make or break your quarter. This list covers six solid options that span conversation intelligence, enterprise planning, and CRM-native forecasting, so you’ll find something that fits your workflow.

Quick comparison table

ToolBest ForStandout FeaturePrice Tier
ClariRevenue teams needing AI-driven dynamic forecastingAutonomous revenue platform unifying forecast, pipeline, and deal executionPaid
GongConversation-driven forecast signalsReal-time deal warnings and coaching alerts tied to revenuePaid
Aviso AIPredictive pipeline analytics for mid-market/enterpriseWin/loss probability scores that update automatically with deal stagePaid
AnaplanLarge orgs needing connected planning across departmentsLinks sales forecasts directly to supply chain and financial plansPaid
PipedriveSMBs wanting simple, visual forecasting inside their CRMCustomizable forecast views with no complex setupPaid
Zoho CRMTeams in Zoho ecosystem needing top-down and bottom-up forecastingDeep native integration with Zoho Analytics, Campaigns, DeskFree plan available

Pricing is approximate and based on publicly available tiers. Trials or demos are available for each tool.

1. Clari

Best for: Revenue teams that need AI-driven, dynamic forecasting fed by live data.
Clari pulls data from emails, your CRM, and other sources to build a live revenue prediction. Instead of chasing reps for updates, managers see committed deals and potential slips as they happen. The platform works on Web, iOS, and Android. Its standout feature is the autonomous revenue platform, which unifies forecasting, pipeline inspection, and deal execution so you can spot risks without leaving the dashboard.

2. Gong

Best for: Teams that want conversation-driven forecast signals.
Gong records and analyzes sales calls, emails, and meetings to detect deal intent and risk. Rather than trusting CRM stage updates alone, its AI listens to what buyers actually say and builds a forecast from that real behavior. You can use it on Web, iOS, and Android. The standout piece: real-time deal warnings and coaching alerts that are tied to revenue outcomes, so managers can step in before a deal stalls.

3. Aviso AI

Best for: Mid-market and enterprise teams prioritizing predictive pipeline analytics.
Aviso AI uses machine learning on your historical CRM data and engagement signals to sharpen forecast accuracy. It flags deals that need attention before they slip, not after. Available on Web, iOS, and Android. Its key feature is win/loss probability scores that auto-update as deals advance, so your forecast shows current momentum instead of a stale snapshot.

4. Anaplan

Best for: Large organizations that need connected planning across sales, finance, and operations.
Anaplan is built for custom forecasting models with complex scenarios, territories, and quota assignments. Its modeling engine handles top-down targets and bottom-up rep-level rollups in the same place, so sales and finance stay aligned on one set of numbers. It runs on the web. The big advantage: you can link sales forecasts directly to supply chain and financial plans, which cuts out the messy spreadsheet handoffs between departments.

5. Pipedrive

Best for: Small-to-medium sales teams that want simple, visual forecasting inside their CRM.
Pipedrive’s visual pipeline and drag-and-drop deal management make forecasting feel natural. AI-powered insights estimate deal probability and point out at-risk opportunities without you having to set up anything extra. It works on Web, iOS, and Android. The standout: customizable forecast views that follow how your team already tracks deals, so there’s zero admin overhead.

6. Zoho CRM

Best for: Teams already using Zoho apps who need flexible top-down and bottom-up forecasting.
Zoho CRM handles both top-down and bottom-up forecasting. Managers can set targets while reps build their own forecasts, and the system reconciles them automatically. Real-time pipeline data feeds into reports and dashboards that you can share across departments. It’s available on Web, iOS, and Android. The standout feature is its deep, native integration with Zoho Analytics, Campaigns, and Desk. No extra connector costs, which makes it a practical choice if your team already lives in the Zoho ecosystem.

How we picked these tools

We got hands-on with each tool’s forecasting module or sat through detailed demos from the vendors. Then we compared four approaches: AI-led, conversation-based, modeling-heavy, and CRM-native. User reviews on G2 and Capterra helped us verify reliability and ease of use. We favored tools that pull data automatically instead of leaning on manual rep updates. The result is a mix that ranges from budget-friendly CRM add-ons to full-blown enterprise planning suites.

Frequently asked questions

What is sales forecasting software?

Sales forecasting software uses your historical pipeline data, deal stages, and sometimes AI to predict future revenue. It swaps out guesswork and spreadsheet estimates for live, data-driven forecasts that update as deals progress.

How do I choose the right sales forecasting tool?

Start with your team’s size, sales complexity, and current tech stack. Run a demo to see if the forecasting logic aligns with how you actually manage deals. Small teams tend to do well with simpler visual tools, while larger orgs often need scenario-planning power.

Can I use my CRM for forecasting?

Yes, CRMs like Pipedrive and Zoho come with built-in forecasting. Basic pipeline reports give you a snapshot; dedicated platforms layer on AI, conversation data, or cross-department modeling. Try your CRM’s native tool first, then bring in a specialized solution if you spot gaps.

The verdict

Clari is our top pick for its real-time data capture, AI accuracy, and end-to-end revenue view. Gong is a close second if you want conversation-driven forecast signals, not just CRM data. Pipedrive is the lightweight option for small teams that need simple forecasting with no extra complexity. The best fit depends on deal size, team structure, and how much manual data entry your team is willing to accept.

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