11 Best AI Sales Forecasting Tools (2026)

AI sales forecasting tools analyze CRM data, deal activity, and buyer engagement to predict revenue and flag deals at risk of slipping, replacing manual pipeline reviews built on rep gut-feel and spreadsheet roll-ups. Below are 11 tools worth comparing in 2026, spanning enterprise revenue intelligence platforms to lighter, CRM-native forecasting features.

The category splits along a few lines worth knowing before you shortlist anything:

• Enterprise revenue intelligence platforms (Clari, Gong Forecast, Aviso, BoostUp) combine forecasting with pipeline inspection, deal risk scoring, and often conversation intelligence, typically sold through custom enterprise contracts.
• CRM-native forecasting (Salesforce Einstein/Agentforce, HubSpot Sales Hub) is built into a CRM you likely already pay for, trading some depth for lower incremental cost and easier rollout.
• Behavioral and engagement-data platforms (People.ai, ZoomInfo Copilot) forecast based on rep activity quality and buyer engagement signals rather than pipeline value alone.
• Sales engagement platforms with forecasting layered in (Outreach) prioritize the outbound and engagement workflow, with forecasting as one module among several.
• Salesforce-native forecasting add-ons (Weflow, Cirrus Insight) sit on top of Salesforce specifically, automating CRM hygiene and adding forecast views without replacing the underlying system.

A note on accuracy claims: several vendors in this space advertise forecast accuracy figures (90%, 95%, even 98%) and dramatic cost-savings case studies. These numbers come from vendor marketing and individual customer examples rather than independent, standardized benchmarks, so treat them as directional rather than a number your team should expect to replicate. Pricing below reflects publicly reported figures as of 2026; most enterprise vendors in this category (Clari, Gong, Aviso, People.ai) do not publish list pricing and sell through custom, often five- or six-figure annual contracts — confirm current rates directly.

How These Tools Compare

Which Type Fits Your Team

1. Clari

Clari is one of the most established names in revenue intelligence, built around predictive forecasting, pipeline inspection, and a shared workspace for forecast collaboration across sales leadership. It centralizes engagement signals from multiple sources to flag at-risk deals earlier than a static CRM roll-up would. Clari does not publish list pricing; third-party deal data reports a median annual contract value around $75,000, with actual contracts ranging roughly from $19,000 to over $400,000 depending on team size, often with an annual minimum spend. It's positioned squarely for enterprise revenue operations teams, and pricing reflects that — smaller teams will likely find it priced well above their needs.

2. Gong Forecast

Gong Forecast is the forecasting module within Gong's broader revenue intelligence platform, tying deal probability directly to what's actually said on sales calls — sentiment, next-step likelihood, and topic tracking pulled from call recordings. As of 2026, Gong sells in a bundled model (Core + Engage + Forecast) reported around $108–250 per user per month, plus an annual platform fee ranging from roughly $5,000 to $50,000 depending on organization size and complexity. It's the natural choice for teams already using Gong for call recording and coaching who want forecasting built on the same conversation data rather than a separate tool.

3. Aviso

Aviso has been in the AI forecasting space since 2012 and differentiates itself on explainability — its scenario modeling and deal-scoring outputs are designed to show why a forecast moved, not just that it did, which appeals to RevOps teams with a quantitative bent. It offers multi-scenario modeling to simulate different pipeline assumptions and reportedly reaches accuracy figures comparable to or above Clari's, though these are vendor-reported. Pricing is custom and negotiable, generally landing close to Clari's range for full functionality. Aviso suits enterprise teams that want forecast transparency and have mature enough data practices to make use of its deal-guidance depth — reviewers note implementation complexity as a real consideration.

4. BoostUp

BoostUp is purpose-built for revenue operations teams wanting Clari-like forecasting depth — covering forecasting, pipeline analytics, deal inspection, and account intelligence — at a lower price point and faster implementation. Reported pricing runs roughly 20–30% below Clari for comparable seat counts, with implementation cited around four to six weeks versus Clari's typically longer rollout. The tradeoff is a smaller integration ecosystem and fewer call-analytics features than conversation-intelligence-first competitors like Gong. It's a reasonable fit for mid-market teams that want enterprise-style forecasting without an enterprise-length sales cycle.

5. People.ai

People.ai takes a behavioral approach, connecting rep activity and engagement patterns directly to forecast accuracy rather than relying primarily on pipeline stage and deal value. Its models identify which specific activities and engagement signals correlate with deals actually closing, and it layers in coaching insights aimed at improving forecast reliability at the rep level over time. Pricing is custom and enterprise-focused, generally requiring a sales conversation. It's a good fit for sales organizations whose forecast accuracy problems stem more from inconsistent rep behavior and CRM hygiene than from a lack of pipeline visibility.

6. Salesforce Einstein / Agentforce

For organizations already deep in the Salesforce ecosystem, Einstein (now increasingly positioned under the Agentforce banner) is the native AI layer sitting directly on top of existing opportunity data — pipeline, commit, and best-case views generated without exporting anything to a separate tool. Pricing is add-on licensing on top of a Salesforce subscription, and enterprise-grade capabilities (Agentforce agents, advanced forecasting) require meaningful additional investment and technical configuration to unlock fully. It's a strong option for large Salesforce-native sales orgs with the data volume and budget to make use of it; for SMBs or teams still evaluating a CRM, the total cost and complexity are worth weighing against lighter alternatives.

7. HubSpot Sales Hub

HubSpot Sales Hub bundles CRM, sales engagement, and forecasting in one platform designed for growing teams rather than large enterprises. Its forecasting projects revenue from weighted pipeline values and historical close rates, with AI scoring deal-close probability based on deal properties, contact engagement, and activity history — including email opens, link clicks, and document views captured automatically. Reported starting pricing for the CRM/Sales Hub tiers that include this forecasting capability runs from around $57 per user per month. It's a reasonable choice for mid-market teams that want forecasting integrated into the same system they already use for pipeline management, without buying a separate revenue intelligence platform.

8. ZoomInfo Copilot (GTM Workspace)

ZoomInfo's forecasting capability, part of its GTM Workspace/Copilot offering, combines pipeline and engagement data with ZoomInfo's B2B intent and account-level activity data — aiming to explain not just what's happening in a pipeline but why deals are stalling or progressing, using signals a CRM alone wouldn't capture. It integrates natively with Salesforce, HubSpot, and Microsoft Dynamics. Pricing is custom and generally bundled with a broader ZoomInfo platform subscription rather than sold as a standalone forecasting product. It's best suited to teams that already use ZoomInfo for prospecting and want forecasting enriched with the same intent data rather than adding a completely separate vendor.

9. Outreach

Outreach is primarily a sales engagement platform for managing outbound sequences and multi-channel outreach, with forecasting available as one module rather than the platform's core focus. Reported pricing runs roughly $100–160 per user per month across its named plans. It's a sensible pick for outbound-heavy sales organizations that want forecasting connected to the same system driving their sequences and engagement activity, rather than syncing engagement data into a separate, dedicated forecasting tool.

10. Weflow

Weflow is a Salesforce-native forecasting and pipeline hygiene tool that automates opportunity snapshots and field-history tracking without requiring custom fields or a separate data warehouse. Its pacing views compare AI Projection, Team Forecast, and Weighted Forecast side by side against Pipeline, Commit, and Closed figures, and it supports parallel forecast setups per Salesforce opportunity record type. Pricing is custom and available on request. It's aimed specifically at Salesforce revenue teams that want cleaner, more automated forecast tracking without migrating off Salesforce or adopting a full separate revenue intelligence platform.

11. Cirrus Insight

Cirrus Insight turns Salesforce forecasting into what it describes as a "living" system that updates from meetings, emails, and engagement patterns rather than relying on reps to manually update opportunity fields. It syncs opportunity data, close dates, and activity metrics automatically, and surfaces forecast dashboards with deal-health and prediction-confidence scores directly inside Salesforce and the rep's inbox. Pricing is custom and available on request. It's positioned for Salesforce-first sales teams that want forecasting combined with CRM automation and meeting intelligence in one add-on rather than stitching together separate tools.

Common Mistakes When Choosing an AI Sales Forecasting Tool

• Trusting vendor accuracy claims at face value. Figures like "95% accuracy" or "98% forecast precision" come from vendor case studies and individual customers, not independent, standardized benchmarks — ask for how the number was calculated before treating it as a guarantee.
• Buying enterprise depth for a CRM-hygiene problem. If forecast error mainly comes from stale or missing CRM data rather than a lack of analytical sophistication, a lighter automation tool (Weflow, Cirrus Insight) may solve more of the actual problem than a full revenue intelligence platform.
• Ignoring implementation timelines. Enterprise platforms like Clari, Gong, and Aviso commonly take weeks to months to configure properly; a tool that looks impressive in a demo can still take a full quarter to deliver reliable forecasts.
• Overlooking what "AI forecasting" actually means for context. The right target here depends heavily on team maturity and CRM discipline — a team with clean, consistent CRM data will get more out of predictive modeling than a team whose underlying pipeline data is unreliable, regardless of which tool is layered on top.
• Underestimating per-seat cost at scale. Several tools in this category price in the $100–250 per user per month range before platform fees; a 25-person sales team can easily be looking at $75,000–$100,000+ per year once fees are included, so model total cost against team size before committing.

FAQs

Do AI sales forecasting tools actually improve accuracy, or is that just marketing? 

Vendors report meaningful accuracy improvements over manual forecasting, and automated data capture genuinely reduces one well-documented source of error — reps forgetting or delaying CRM updates. That said, the specific percentage figures vendors publish come from their own case studies rather than independent audits, so results will vary by organization and data quality.

Can a small sales team benefit from AI forecasting, or is this only for enterprises?

 Smaller teams are generally better served by CRM-native options like HubSpot Sales Hub, which bundles forecasting into a subscription they likely already pay for, rather than a standalone enterprise platform like Clari or Aviso, which are priced and built for larger, more complex sales organizations.

What's the difference between conversation intelligence and AI sales forecasting? 

Conversation intelligence (Gong's core product, for example) analyzes what's said on calls to assess deal health and sentiment. AI sales forecasting uses that kind of signal — plus pipeline data, activity history, and engagement metrics — to project future revenue. Several tools, like Gong Forecast, combine both in one platform.

Do these tools require a specific CRM?

 Some do: Salesforce Einstein/Agentforce, Weflow, and Cirrus Insight all require Salesforce specifically. HubSpot Sales Hub requires the HubSpot CRM. Others, like Clari, Gong, Aviso, and BoostUp, are designed to work alongside whichever major CRM an organization already uses.

How much should a mid-sized sales team expect to pay for AI forecasting software?

 Reported per-seat pricing in this category commonly runs from roughly $50 to $250 per user per month, with several enterprise vendors adding separate annual platform fees on top. A CRM-native option like HubSpot is typically the lower-cost path if the existing CRM already covers most of what's needed.

What data does an AI forecasting tool need to work well? 

Most rely on consistent CRM opportunity data (stage, close date, amount), plus activity and engagement signals from email, calendar, and — for conversation-intelligence platforms like Gong — call recordings. Sparse or inconsistently updated CRM data will limit accuracy regardless of which tool sits on top of it.

Is it worth switching from a CRM-native forecasting tool to a dedicated platform?

 It depends on what's missing. If the main gap is deal-risk visibility, conversation data, or cross-team forecast collaboration that the native CRM tool doesn't provide, a dedicated platform like Clari or Gong Forecast can be worth the added cost. If the CRM-native tool already covers the team's needs, the migration and cost of a separate platform may not be justified.