Best AI Forecasting Tools

The AI forecast category is more consolidated than demand and lead gen, but it is also more important for running the business. In 2026, most serious forecasting products are not just forecasting tools. They are systems for broader revenue intelligence, pipeline inspection, or revenue orchestration that bring together deal risk signals, executive reporting, and CRM workflows.

That difference is important. A team that wants a lightweight forecasting view in its CRM doesn’t need the same product as a team that runs deal reviews, weekly forecast cadences, scenario planning, and board reporting across several segments. In real life, the market has divided into three groups.

First, there are platforms for forecasting native revenue that focus on forecast calls, cadence, and accuracy. Second, revenue intelligence systems that combine forecasting with visibility into the pipeline and the health of deals. Third, AI assistants that work with spreadsheets help with scenario modeling and forecast analysis, but they don’t replace a real forecasting platform.

What are AI forecasting tools for revenue teams?

AI forecasting tools for revenue teams are software products that predict sales and revenue outcomes using CRM data, pipeline movement, deal signals, and historical performance patterns. The strongest products also add pipeline visibility, risk detection, executive reporting, and structured forecast workflows so leaders can improve forecast accuracy without relying solely on spreadsheet rollups or rep judgment.

Comparison matrix

Tool	Best For	Starting Price	Standout Feature
Clari Forecast	Enterprise forecasting with structured revenue cadences	Custom pricing	AI forecasting plus Revenue Cadences for repeatable forecast execution
Gong Forecast	Forecasting tied to deal activity and pipeline risk	Custom pricing, per-user licenses plus platform fee	Deal boards and activity-backed forecast visibility
Salesforce Revenue Intelligence	Salesforce-first teams that want forecasting, dashboards, and deal health in CRM	$220/user/month billed annually	Revenue dashboards, predictive insights, and Pipeline Inspection
HubSpot Forecasting	HubSpot-native teams that want forecasting inside Sales Hub	Sales Hub pricing model, forecasting tied to Professional and Enterprise workflows	Forecast categories, customizable models, and AI projections in HubSpot
Aviso Revenue Forecasting	Teams that want forecasting, pipeline inspection, and AI-driven deal intelligence	Custom pricing	Time-series AI approach to forecast updates and deal progression
Ebsta Revenue Intelligence	CRM-connected forecasting for teams that want pacing, trends, and pipeline movement	14-day free trial, quote-based current pricing	Forecast pacing, trend views, waterfall charts, and CRM sync
Claude for Excel	Spreadsheet-native forecast modeling and scenario analysis	Included with paid Claude plans	Cell-level explanation, formula tracing, and scenario testing in Excel

Pricing and feature notes above come from current product pages, pricing pages, help centers, and official marketplace materials. Where a vendor uses custom quotes, subscriptions, or usage-based plans, the starting-price field reflects the published model rather than a synthetic estimate.

Evaluation criteria

This review uses six practical filters for B2B revenue teams: forecasting depth across sales, revenue, and pipeline views, pipeline visibility and deal-risk intelligence, reporting and dashboard quality, CRM and data integrations, workflow and governance support for forecast reviews, and fit for operating model, including whether the product behaves more like Tile³, Tile⁴, or Tile⁶.

Top tools, bucketed by use case

Best for enterprise forecasting

Clari Forecast, Aviso Revenue Forecasting, Salesforce Revenue Intelligence. These products are strongest when forecast accuracy, executive visibility, and operating cadence matter as much as rep-level pipeline inspection.

Best for CRM-native forecasting

Salesforce Revenue Intelligence, HubSpot Forecasting, Ebsta Revenue Intelligence. These tools fit teams that want forecasting to stay close to the CRM, not as a separate system of record.

Best for RevOps visibility and pipeline risk

Gong Forecast, Clari Forecast, Ebsta Revenue Intelligence. These products do more than submit numbers. They expose pipeline changes, forecast movement, deal health, and review workflows that make forecast calls more defensible.

Best for spreadsheet-native scenario modeling

Claude for Excel. This is the lightest and most flexible option for teams that still run important parts of forecasting in workbooks and want AI help without replacing the model itself.

Provider deep-dives

Clari Forecast: Best for enterprise forecasting cadence

Starting Price: Custom pricing.
Tile fit: Tile⁶.

Clari is the closest thing in this set to a forecasting-centered revenue operating system. Its product language is built around AI-driven forecasting, forecast rollups, deal scoring, revenue insights, and Revenue Cadences that structure weekly, monthly, and quarterly operating rhythms. It is less of a standalone dashboard and more of a system for running the forecast process.

Pros

• Strong focus on structured forecasting and repeatable forecast cadence.
• Built for segmented forecasting across different revenue models.
• Strong executive-level visibility from top-line views down to individual deals.
• Official product positioning is tightly aligned to forecasting and revenue planning, not just generic analytics.

Cons

• Pricing is custom, which slows initial evaluation.
• Better suited to mature revenue teams than lightweight SMB sales teams.
• Broader orchestration scope can be heavier than teams that only need a CRM forecast view.

Pricing note
Clari is positioned as an enterprise platform rather than a self-serve forecasting tool.

Best for
Enterprise revenue teams that want forecasting tied to operating rhythm, review discipline, and executive visibility.

Gong Forecast: Best for deal-activity-backed forecasting

Starting Price: Custom pricing, with per-user licenses plus a platform fee.
Tile fit: Tile⁶.

Gong Forecast is not a pure forecasting tool. It is a revenue intelligence layer that combines forecast submissions, deal boards, activity signals, and pipeline risk visibility. Its main value is that forecasting is grounded in what is happening across deals and customer interactions, not only in manager rollups.

Pros

• Strong pipeline and deal-board views for forecast inspection.
• Forecasting is tied to real deal activity and execution signals.
• Automated rollups and team-hierarchy visibility support manager workflows.
• Good fit for teams that want to spot risk early, not just record a forecast number.

Cons

• Pricing is custom and depends on license mix and platform fee.
• Best value depends on using Gong more broadly, not just for forecasting.
• It is more accurate to think of Gong as a revenue intelligence platform with forecasting than as a dedicated forecast product.

Pricing note
Budgeting requires a sales process because pricing varies by seat count and platform configuration.

Best for
Revenue teams that want forecasting closely connected to deal execution, call activity, and pipeline risk.

Salesforce Revenue Intelligence: Best for Salesforce-first forecasting

Starting Price: $220/user/month billed annually.
Tile fit: Tile⁴.

Salesforce Revenue Intelligence is a CRM-native revenue intelligence product. It combines dashboards, AI-powered insights, predictive forecasting support, Pipeline Inspection, and deal health signals inside the Salesforce operating environment. It is especially relevant for organizations that do not want forecasting to live outside Sales Cloud.

Pros

• Clear public pricing for a serious enterprise forecasting product.
• Strong fit for Salesforce-native teams.
• Combines revenue dashboards, pipeline trends, and AI-powered deal health.
• Pipeline Inspection and Einstein features support coaching and forecast quality.

Cons

• Pricing can add up quickly for broader team rollouts.
• Best fit depends on already being committed to Salesforce.
• The product is broader than forecasting, so buyers need to separate intelligence features from actual forecast workflow needs.

Pricing note
The published price is clearer than most enterprise competitors, but the real cost still depends on the broader Salesforce stack.

Best for
Salesforce-first organizations that want forecasting, pipeline insights, and executive reporting in the CRM.

HubSpot Forecasting: Best for HubSpot-native teams

Starting Price: Forecasting is part of the Sales Hub model, with advanced workflows and seat pricing tied to Professional and Enterprise plans.
Tile fit: Tile⁴.

HubSpot Forecasting is the most straightforward CRM-native option in this set. It gives managers a forecast tool, forecast categories, customizable forecast models, and goal tracking, and it now adds Breeze AI projections as an additional perspective. It is not as deep as Clari or Aviso, but it is more practical for teams already operating in HubSpot.

Pros

• Native fit for HubSpot CRM and Sales Hub users.
• Forecast categories and custom forecast models are useful for practical team operations.
• AI projections add a second perspective to manual or stage-based forecasts.
• Better suited to teams that want simplicity over heavy revenue orchestration.

Cons

• Forecasting depth is lighter than dedicated enterprise forecasting platforms.
• AI projections are still a supplementary view, not a full forecasting system.
• Best value depends on already using HubSpot as the CRM and sales workflow layer.

Pricing note
This is better treated as a HubSpot-native forecasting layer than as a standalone forecasting product.

Best for
HubSpot teams that want pipeline forecasting and forecast submissions without adding a separate specialist platform.

Aviso Revenue Forecasting: Best for AI-heavy revenue forecasting

Starting Price: Custom pricing.
Tile fit: Tile⁶.

Aviso positions forecasting as part of a broader AI revenue system built on time-series intelligence. Its pitch is not just that it can roll up numbers, but that it can track deal progression over time, identify risk earlier, and update forecasts automatically with AI-driven context. That makes it closer to a revenue intelligence operating system than a conventional forecast dashboard.

Pros

• Strong emphasis on predictive forecasting and deal-level AI signals.
• Useful for teams that want forecasting tied to pipeline progression and risk identification.
• Built around a clear revenue-intelligence narrative, not just reporting.
• Better suited than many tools for teams dealing with more complex revenue models.

Cons

• Pricing is custom.
• Public materials make large claims on forecast accuracy, which should be treated as vendor claims.
• The platform is broader than forecasting, so buyers need to separate core need from platform ambition.

Pricing note
Aviso is clearly an enterprise purchase, not a lightweight add-on.

Best for
Revenue teams that want forecasting, deal risk, and pipeline movement analyzed together in one AI-centered system.

Ebsta Revenue Intelligence: Best for forecast pacing and pipeline movement

Starting Price: 14-day free trial, current pricing is quote-based.
Tile fit: Tile⁴.

Ebsta sits between CRM-native forecasting and full enterprise revenue intelligence. Its Revenue Intelligence layer focuses on projected revenue, rollups, trends, pacing, forecast submissions, waterfall views, and pipeline insights, which makes it especially relevant for sales managers and RevOps teams that need visibility into how the forecast is changing.

Pros

• Strong focus on forecast pacing, trend movement, and forecast changes.
• Useful waterfall and flow-chart views for pipeline analysis.
• Integrates with Salesforce and HubSpot.
• Easier to understand operationally than some broader enterprise platforms.

Cons

• Pricing transparency is weaker than it used to be.
• Not as broadly positioned as Clari or Aviso for enterprise orchestration.
• Better thought of as revenue intelligence with forecasting than as a pure forecasting product.

Pricing note
A free trial exists, but current pricing is mainly handled through quote-based sales.

Best for
Sales leaders and RevOps teams that want better visibility into forecast movement and pipeline pacing.

Claude for Excel: Best for spreadsheet-native forecasting analysis

Starting Price: Included with paid Claude plans.
Tile fit: Tile³.

Claude for Excel is not a dedicated revenue forecasting platform, and it should not be mistaken for one. Its value is different. It helps teams understand formulas, trace calculation flows, explain workbook logic, test scenarios, and work across complex spreadsheet models without breaking dependencies. For teams that still run key forecast models in Excel, that is highly practical.

Pros

• Strong for explaining and debugging forecast models in spreadsheets.
• Useful for scenario testing and assumption changes.
• Cell-level explanations and workbook analysis make complex models easier to trust.
• Works well as a bridge between manual modeling and AI-assisted analysis.

Cons

• Not a forecasting platform or revenue intelligence system.
• Depends on the quality of the underlying workbook model.
• Does not replace CRM-connected forecast workflows, pipeline inspection, or submission governance.

Pricing note
Claude for Excel is tied to paid Claude plans rather than sold as a separate forecasting product.

Best for
Finance, RevOps, and revenue leaders who still manage forecasting logic in Excel and want AI help inside the model.

How to choose AI forecasting tools for revenue teams

• Does the tool forecast from CRM reality or from rep opinion? The strongest tools connect forecast views to live pipeline data, deal movement, or activity signals.
• How much forecast workflow does the team actually need? Some teams need a clean forecast dashboard. Others need submissions, rollups, cadence, and executive review structure.
• Is the product really forecasting, or is it broader revenue intelligence? Many tools in this category are valuable, but they solve adjacent problems as well.
• How tightly does it need to connect to the CRM? Salesforce- and HubSpot-first teams often get more value from native or near-native workflows than from an external point solution.
• Will leaders still use spreadsheets? If yes, a spreadsheet-native assistant like Claude can improve model understanding, but it should complement, not replace, a real forecast system.

Best-for recommendations

Best for enterprise forecasting: Clari Forecast. It is the clearest fit for organizations that want structured forecast cadence, rollups, and executive forecasting discipline rather than only a dashboard.

Best for CRM-native teams: Salesforce Revenue Intelligence for Salesforce-first organizations, and HubSpot Forecasting for teams already standardized on HubSpot. The better choice depends on CRM commitment and operating complexity.

Best for RevOps visibility: Gong Forecast if the main need is activity-backed pipeline truth, or Ebsta if the team wants forecast pacing, trend movement, and CRM-connected visibility without a full enterprise overhaul.

Methodology

This comparison prioritized official product pages, pricing pages, help-center documentation, CRM support content, and marketplace listings so claims about forecasting features, pipeline visibility, pricing, and workflow support stayed current. Third-party validation was used sparingly, and only when a product was clearly broader than forecasting and needed clearer market context.