Sales forecasting has never been simple.
Now it feels even harder.
Modern sales teams are under pressure to predict revenue more accurately while dealing with longer sales cycles, inconsistent rep judgment, shifting buyer behavior, and pipeline dynamics that can change fast. A forecast that looked safe two weeks ago can suddenly feel fragile by quarter end.
That is exactly why sales forecasting software with AI insights matters so much today. These platforms help sales leaders, RevOps teams, CROs, and finance stakeholders move beyond spreadsheets and gut feel by using pipeline signals, deal risk analysis, activity patterns, and predictive modeling to improve forecast confidence.
The best tools do not just make forecasts look cleaner. They make revenue decisions easier to defend.
In this guide, you will find the top sales forecasting software with AI insights and what each one is really best at.
Why Sales Forecasting Software with AI Insights Matters
Traditional sales forecasting often breaks down when pressure increases.
That is when the weaknesses become obvious.
Many teams still rely on manual rollups, subjective rep commits, stale CRM fields, and manager intuition. On paper, that can look organized. In practice, it often creates weak pipeline visibility, hidden deal risk, and forecasts that shift too late. When that happens, missed quarters, sandbagging, overconfidence, and last-minute forecast changes become far more common.
The problem is not just bad data. It is also poor inspection discipline, inconsistent stage hygiene, and limited visibility into what is actually happening inside deals. A rep may commit a deal that has low engagement, weak next steps, or no real buying momentum. Leadership may not spot the problem until it is too late. Finance then loses confidence, and alignment across the revenue organization starts to slip.
That is where sales forecasting software with AI insights creates real value. These platforms can identify deal health, surface pipeline gaps, predict close likelihood, improve manager inspection workflows, and create more accurate, defensible forecasts. Instead of relying mostly on opinion, revenue teams can build forecasting around stronger signals and better operational discipline.
Let’s Explore the Top Sales Forecasting Software with AI Insights
Not every forecasting platform solves the same revenue problem.
Some tools are purpose-built for forecasting, pipeline inspection, and deal risk analysis. Others are broader revenue intelligence platforms that bring in conversation data, activity signals, and engagement patterns to improve forecast quality. Some are CRM-native options that add AI forecasting inside systems teams already use every day. And a few connect forecasting to broader RevOps orchestration, planning, or finance alignment.
That is why the best-fit platform depends on how your revenue team actually operates.
If your sales cycles are long and complex, deep pipeline inspection may matter most. If your leaders want more predictive confidence, AI-driven deal scoring and close likelihood can be more important. If rep adoption is the biggest challenge, a CRM-native workflow may outperform a more powerful standalone platform. And if finance needs stronger alignment, planning and scenario visibility can matter as much as forecast accuracy.
As you review the tools below, think about sales complexity, CRM environment, forecast cadence, data maturity, leadership expectations, and whether your team prioritizes predictive accuracy, deal inspection, rep accountability, or cross-functional revenue visibility.
If you want fewer forecast surprises and a more predictable revenue motion, these are the sales forecasting tools worth serious attention.
1. Clari
Clari is one of the best-known revenue platforms for enterprise forecasting and pipeline inspection. It gives revenue leaders a structured way to manage forecast cadence, inspect deals, and monitor risk across large sales organizations. Because it combines AI-powered forecasting with activity and engagement visibility, it helps teams move beyond simple CRM stage views.
Its biggest strength is forecast confidence at scale. Large teams can standardize forecasting without relying too heavily on rep judgment.
Why it stands out: It combines enterprise-grade forecasting, AI-powered pipeline inspection, deal risk analysis, activity and engagement signals, and strong forecast cadence support.
Best for: Large revenue teams needing high-confidence forecasting and execution visibility across complex sales motions.
Pro tip: Use Clari when leadership wants consistency across forecast calls, because standardized inspection improves forecast discipline fast.
2. Gong Forecast
Gong Forecast is especially powerful for teams that want forecasting informed by real customer conversations and rep activity. It uses revenue intelligence signals from calls, emails, and deal interactions to help surface risk, improve forecast visibility, and make deal reviews more evidence-based.
Its biggest value is signal quality. Forecasts improve when they reflect what buyers are actually doing.
Why it stands out: It combines AI-driven forecast insights, conversation and engagement data, deal risk signals, pipeline visibility, coaching overlap, and strong CRM integration.
Best for: Teams wanting forecasting informed by real customer interaction data instead of CRM fields alone.
Pro tip: Choose Gong Forecast when call and engagement data are rich, because buyer signals often reveal risk before stage changes do.
3. Aviso
Aviso is an AI-first forecasting and deal intelligence platform built for organizations that want predictive revenue modeling and stronger opportunity-level guidance. It helps teams analyze deal risk, inspect pipeline health, and improve forecast accuracy with AI support that goes deeper than basic reporting.
Its biggest strength is predictive focus. It is built around AI-guided revenue decisions, not just reporting layers.
Why it stands out: It combines AI-first forecasting, predictive revenue modeling, opportunity risk analysis, pipeline inspection, and strong seller guidance relevance.
Best for: Organizations prioritizing AI-guided forecast accuracy and better deal execution across complex pipelines.
Pro tip: Use Aviso when predictive guidance matters most, because stronger AI signals can improve both forecasting and deal management.
4. BoostUp
BoostUp positions itself as a modern revenue command center, which makes it attractive for fast-scaling revenue teams that want forecasting plus operational visibility. It supports AI forecasting, deal and account risk visibility, and flexible manager workflows, which helps leaders inspect revenue health without getting trapped in static dashboards.
Its biggest advantage is workflow flexibility. It gives managers more practical control over how forecasts get reviewed.
Why it stands out: It combines modern AI forecasting, pipeline inspection, deal and account risk visibility, rep and manager workflow support, and strong CRM integration depth.
Best for: Fast-scaling revenue teams needing flexible forecasting and operational visibility across evolving sales motions.
Pro tip: Choose BoostUp when inspection workflows need to evolve quickly, because flexibility matters in scaling GTM teams.
5. People.ai
People.ai is best known for revenue intelligence and automated activity capture, but that is exactly what makes it valuable for forecasting. By improving visibility into account relationships, seller activity, and engagement patterns, it can strengthen the data quality that better forecasts depend on.
Its biggest value is data foundation. Forecast accuracy usually improves when the activity layer gets cleaner.
Why it stands out: It combines revenue intelligence, activity capture, AI-powered pipeline relevance, relationship visibility, account signal depth, and strong impact on forecast data quality.
Best for: Organizations improving forecast accuracy through better activity, relationship, and account signal visibility.
Pro tip: Use People.ai when CRM hygiene is weak, because cleaner activity data often improves forecasts before new models do.
6. Revenue Grid
Revenue Grid is a strong fit for teams that want forecasting tied closely to seller execution signals. It blends revenue intelligence, guided selling, pipeline inspection, and engagement analysis, with useful visibility from email and calendar activity. That makes it practical for organizations that want forecast quality tied to real rep behavior.
Its biggest strength is execution alignment. It helps teams connect forecast quality to sales activity discipline.
Why it stands out: It combines revenue intelligence, guided selling relevance, AI forecast support, engagement signal analysis, deal health visibility, and strong email plus calendar context.
Best for: Teams wanting forecasting tied closely to seller execution signals and day-to-day deal movement.
Pro tip: Choose Revenue Grid when rep behavior is part of the forecasting problem, because execution signals improve deal visibility.
7. Scratchpad
Scratchpad is especially useful for Salesforce teams that want better forecast accuracy through stronger CRM discipline and rep adoption. It gives reps a faster workspace for updating pipeline, while helping managers inspect forecasts with cleaner data and less friction. That makes it a practical choice when forecast issues start with workflow problems.
Its biggest strength is adoption. Better forecasting often starts with better CRM habits.
Why it stands out: It combines Salesforce-native workflow strength, forecasting support, pipeline hygiene improvement, rep adoption advantages, and strong manager inspection benefits.
Best for: Salesforce teams wanting better forecast accuracy through cleaner CRM data and faster rep workflow efficiency.
Pro tip: Use Scratchpad when reps resist CRM updates, because better adoption often improves forecast quality immediately.
8. HubSpot Sales Hub
HubSpot Sales Hub is a practical option for SMB and mid-market teams that want forecasting and AI-assisted deal insights inside one unified platform. It offers CRM-native pipeline reporting, sales analytics, and accessible forecasting workflows, which makes it appealing for teams that want better visibility without enterprise complexity.
Its biggest advantage is simplicity. Teams can improve forecasting without adding a separate heavy platform.
Why it stands out: It combines CRM-native forecasting, AI-assisted deal insights, pipeline reporting, sales analytics, strong ease of use, and practical fit for growing teams.
Best for: SMB and mid-market teams wanting forecasting and AI insights inside a unified sales platform.
Pro tip: Choose HubSpot Sales Hub when ease of adoption matters, because simpler systems usually get used more consistently.
9. Salesforce Sales Cloud + Einstein Forecasting
Salesforce remains the dominant enterprise CRM, and Einstein Forecasting adds AI-powered intelligence for teams already invested in that ecosystem. It supports forecasting, opportunity scoring, pipeline analysis, and deep reporting flexibility, which makes it useful for organizations that want native forecasting intelligence without leaving Salesforce.
Its biggest value is ecosystem depth. Teams can build forecasting inside a platform they already rely on heavily.
Why it stands out: It combines enterprise CRM strength, AI-powered forecasting through Einstein, opportunity scoring relevance, deep reporting, customization, and a powerful ecosystem.
Best for: Organizations deeply invested in Salesforce that want native forecasting intelligence and flexible revenue reporting.
Pro tip: Use Salesforce plus Einstein when customization matters, because native workflows reduce integration friction for large teams.
10. InsightSquared
InsightSquared has long been known for sales analytics and forecasting, which makes it a solid fit for RevOps teams that want analytics-driven visibility. It supports pipeline inspection, forecast reporting, and performance analytics, helping teams move from raw CRM data to clearer revenue insights.
Its biggest strength is analytical clarity. It gives leaders better context around why forecasts are changing.
Why it stands out: It combines sales analytics heritage, forecasting support, pipeline inspection strength, forecast reporting, performance analytics, and strong RevOps relevance.
Best for: Teams needing analytics-driven forecasting and stronger sales performance visibility across the funnel.
Pro tip: Choose InsightSquared when reporting depth matters, because clearer analysis improves forecast conversations.
11. Anaplan
Anaplan is not a sales forecasting tool first, but it becomes highly relevant for larger organizations that need revenue forecasting tied to broader planning and finance workflows. It supports connected planning, scenario modeling, and enterprise alignment, which makes it especially useful when sales forecasts need to roll into wider corporate forecasting processes.
Its biggest value is cross-functional alignment. It helps sales and finance speak the same planning language.
Why it stands out: It combines connected planning, sales forecasting relevance, scenario modeling, enterprise planning integration, finance alignment, and strong value for corporate forecasting.
Best for: Larger organizations needing sales forecasts tied closely to broader revenue planning and finance processes.
Pro tip: Use Anaplan when finance alignment is the priority, because forecast trust improves when planning models connect.
12. Xactly Forecasting
Xactly Forecasting is especially relevant for enterprises that want forecasting connected to compensation, quota planning, and sales performance management. Its heritage in sales performance gives it a different angle from pure forecasting tools, which can be useful for organizations managing complex sales operations.
Its biggest strength is operational context. It helps teams connect forecasts to broader sales performance levers.
Why it stands out: It combines sales performance management heritage, forecast visibility, pipeline analytics, quota and territory context, and useful relevance for enterprise sales operations.
Best for: Organizations wanting forecasting connected to compensation, planning, and broader sales performance management.
Pro tip: Choose Xactly when sales planning is tightly linked to forecast accuracy, because operational context can improve accountability.
13. Pipeline CRM
Pipeline CRM is a simpler and more accessible option for smaller sales teams that want practical forecasting without enterprise complexity. It offers useful pipeline visibility, approachable reporting, and lightweight forecasting capabilities, which makes it a good fit for teams that need clarity more than advanced revenue intelligence.
Its biggest value is usability for smaller teams. It gives growing companies a cleaner path to forecast discipline.
Why it stands out: It combines accessible CRM forecasting, practical pipeline visibility, straightforward reporting, SMB usability, and a lower-complexity path to better forecasting.
Best for: Smaller teams seeking practical forecasting and pipeline visibility without enterprise overhead.
Pro tip: Use Pipeline CRM when simplicity is the main requirement, because lighter tools often improve consistency faster for lean teams.
14. Pipedrive
Pipedrive is a popular sales-first CRM with strong visual pipeline management and helpful AI sales assistant features. It is especially useful for SMB and mid-market teams that want approachable forecasting, deal progress visibility, and a more intuitive pipeline experience without overcomplicating the stack.
Its biggest strength is visual clarity. Teams can spot pipeline movement and forecast trends faster.
Why it stands out: It combines visual pipeline strength, sales forecasting relevance, AI sales assistant capabilities, deal progress insights, and strong usability for growing teams.
Best for: SMB and mid-market teams wanting approachable AI-enhanced forecasting inside a sales-first CRM.
Pro tip: Choose Pipedrive when visual pipeline management matters, because clearer deal visibility improves forecast reviews.
15. Freshsales
Freshsales blends CRM functionality with Freddy AI, which makes it a strong option for growth-stage teams that want accessible AI insights across forecasting and pipeline management. It supports deal scoring, pipeline analytics, and practical sales workflows, which helps teams improve visibility without moving into heavier enterprise tooling.
Its biggest advantage is accessible AI. It brings useful intelligence into a simpler sales environment.
Why it stands out: It combines CRM plus AI sales assistance, forecasting relevance, deal scoring, pipeline analytics, Freddy AI support, and strong usability for growth teams.
Best for: Growth-stage teams wanting accessible AI insights across forecasting, deal scoring, and pipeline management.
Pro tip: Use Freshsales when you want AI help without enterprise complexity, because approachable tools often drive better adoption.
16. Zendesk Sell
Zendesk Sell is a practical CRM option for SMB to mid-market teams that want straightforward forecasting and pipeline visibility inside a simpler sales stack. It is not the most advanced AI forecasting platform, but it offers accessible reporting and sales guidance that can be useful for teams prioritizing clarity and ease of use.
Its biggest value is straightforward execution. It helps teams forecast better without building a complex revenue ops layer.
Why it stands out: It combines practical CRM forecasting, pipeline visibility, useful sales guidance relevance, accessible reporting, and strong fit for simpler sales stacks.
Best for: SMB to mid-market teams needing straightforward forecasting inside a simpler CRM environment.
Pro tip: Choose Zendesk Sell when operational simplicity matters more than advanced AI depth, because usability can improve forecast discipline.
How to Choose the Right Sales Forecasting Software with AI Insights
The right platform depends on how complex your sales motion is and how much forecast discipline your team already has.
If you need enterprise-grade forecasting precision, Clari, Gong Forecast, Aviso, and BoostUp are strong starting points because they offer deeper pipeline inspection, stronger deal risk analysis, and more mature forecast workflows. If your main challenge is data quality and seller activity visibility, People.ai and Revenue Grid deserve serious attention because better signals often improve forecast confidence. If your team lives in Salesforce, Scratchpad and Salesforce Sales Cloud + Einstein Forecasting can be especially practical because adoption and native workflow fit matter.
For analytics-heavy RevOps teams, InsightSquared is a solid option. If finance alignment and scenario planning matter most, Anaplan stands out. If you want forecasting tied to compensation and sales performance operations, Xactly Forecasting is more relevant. And for SMB or mid-market teams that want simpler CRM-native forecasting, HubSpot Sales Hub, Pipeline CRM, Pipedrive, Freshsales, and Zendesk Sell can all be strong fits depending on budget and workflow needs.
When comparing options, review forecast complexity, sales cycle length, CRM environment, AI explainability, pipeline inspection depth, rep adoption, reporting sophistication, finance alignment, implementation effort, and budget.
The best tool is the one your team will trust enough to actually use every forecast cycle.
Bottom Line & Recommendations
Different sales forecasting tools solve different revenue visibility problems, which is why there is no single universal winner. If you need enterprise-grade forecasting precision and deeper pipeline inspection, Clari, Gong Forecast, Aviso, and BoostUp are the strongest starting points. If your priority is improving forecast quality through better activity and relationship data, People.ai and Revenue Grid deserve a close look. If you want CRM-native simplicity, HubSpot Sales Hub, Salesforce Sales Cloud + Einstein Forecasting, Pipedrive, and Freshsales are practical options depending on your current stack.
For finance-ready planning alignment, Anaplan stands out. If compensation and sales performance context matter, Xactly Forecasting is especially relevant. And if your team simply needs clearer forecasting without enterprise complexity, Pipeline CRM and Zendesk Sell can still create real value.
Recommendations: Shortlist a few platforms based on your sales process maturity, forecast cadence, and existing GTM stack. The strongest solution often depends on whether your goal is reducing forecast variance, improving deal risk visibility, tightening manager accountability, strengthening sales-finance alignment, or building a more predictable revenue operating system.
