Pulse Reviews and Analysis
The 10 Best AI Tools for Sales Forecasting in 2027
Curated by Kory White · Fractional CRO, CRO SyndicateSales forecasting used to mean a spreadsheet, a gut feeling, and an awkward quarter-end conversation when the number missed. By 2027 the best revenue teams run AI forecasting tools that read every email, call, and CRM field to predict the quarter weeks before it closes. This ranking covers the ten AI tools that actually move forecast accuracy, not the ones that just dress up a pipeline report.
Direct Answer
The best overall AI tool for sales forecasting in 2027 is Clari, the platform that defined the revenue-intelligence category and still sets the bar for forecast accuracy at scale. Clari pulls activity signals (email, calendar, calls) and CRM data into a single forecasting model, then surfaces risk on individual deals before reps know they are slipping.
Pricing is quote-based and enterprise-tier (most teams land in the $1,000–$1,500 per user per year range depending on modules), so it is built for funded sales orgs, not solo founders.
The best value pick is HubSpot Sales Forecasting, which ships predictive and AI-assisted forecasting inside the Sales Hub Professional plan at $100/user/mo (annual) with no separate revenue-intelligence contract. If you already run HubSpot CRM, you get usable AI forecasting without a six-figure add-on.
This list is for RevOps leaders, sales managers, and CROs who own a number and need to call it with confidence in 2027.
How We Ranked the Top 10
We scored every tool against six weighted criteria, pulling from G2 and Capterra review distributions, vendor documentation, public pricing pages, and hands-on RevOps reference checks.
- Forecast accuracy & methodology (30%) — does the AI improve call accuracy versus a rep-submitted number, and is the model explainable?
- Signal capture & data coverage (20%) — how much activity data (email, calls, calendar, CRM) the tool ingests automatically.
- CRM & stack integration (15%) — native depth with Salesforce, HubSpot, and revenue stacks.
- Ease of use & adoption (15%) — how fast managers and reps actually use the forecast, per G2 ease-of-use scores.
- Price & value (10%) — total cost against what you get; quote-based tools penalized for opacity.
- Pipeline & deal inspection (10%) — deal-level risk scoring, conversion analytics, and what-if modeling.
Quote-based vendors (Clari, Gong, Aviso, BoostUp) are common in this category; where pricing is not public we say so plainly rather than inventing a number.
1. Clari 🏆 BEST OVERALL
Best for: Enterprise revenue teams that need accurate, auditable quarter calls | Pricing: Quote-based, ~$1,000–$1,500/user/yr (Forecast module) | Platform: Web + API + Salesforce/HubSpot sync
Clari built the revenue-intelligence category and remains the reference standard for AI forecasting at scale. Its engine ingests automated activity capture — emails, meetings, and call data — alongside CRM fields, then produces a roll-up forecast with deal-level risk flags and time-series projections that update as the quarter moves.
The RevAI layer (launched 2024, expanded through 2027) explains *why* a deal is at risk rather than just scoring it, which is what gets managers to trust the number. Clari integrates natively with Salesforce and connects to HubSpot, Outreach, and Salesloft, and it powers forecasting at companies like Okta, Zoom, and Adobe.
It is genuinely expensive and overkill for small teams, but no other tool matches its forecast track record.
Pros:
- Strongest forecast accuracy track record in the category, validated across large enterprise deployments
- Automated activity capture removes reliance on reps updating the CRM by hand
- Deal-level risk scoring with explainable signals, not a black box
- Deep Salesforce-native roll-ups and submission workflows
Cons:
- Pricing is enterprise-only and opaque; not viable for small teams
- Full value requires disciplined CRM hygiene and onboarding effort
Verdict: The most accurate, most proven AI forecasting platform — if your sales org is large enough to afford it.
2. Gong Forecast
Best for: Teams that already run Gong for conversation intelligence | Pricing: Quote-based (Forecast add-on to Gong platform) | Platform: Web + API + CRM sync
Gong is best known for conversation intelligence, and Gong Forecast turns that same call and email corpus into a predictive number. Because Gong already captures every recorded call, email thread, and deal interaction, its forecast model has unusually rich signal — it can tell when a champion goes quiet or a competitor gets mentioned.
The Gong AI layer scores deal health and flags slippage, and the forecast roll-up lets managers compare AI-predicted versus rep-submitted numbers side by side. It integrates with Salesforce, HubSpot, and Microsoft Dynamics, and is used by teams at Shopify, LinkedIn, and Snowflake.
The catch is that Forecast is most powerful when you are already paying for the full Gong platform, which itself is a quote-based enterprise spend.
Pros:
- Best-in-class signal capture from recorded calls and emails
- AI deal-health scoring tied directly to real buyer behavior
- Tight Salesforce and HubSpot integration for roll-ups
- Side-by-side AI vs. Rep forecast comparison for manager coaching
Cons:
- Forecast value depends on owning the broader Gong platform
- Pricing is opaque and lands in enterprise territory
Verdict: The strongest forecast for teams already invested in Gong's conversation data.
3. HubSpot Sales Forecasting 💎 BEST VALUE
Best for: SMB and mid-market teams already on HubSpot CRM | Pricing: Included in Sales Hub Professional, $100/user/mo (annual) | Platform: Web + mobile + API
HubSpot bundles predictive and AI-assisted forecasting directly into Sales Hub Professional and Enterprise, so there is no separate revenue-intelligence contract to negotiate. The Breeze AI features (HubSpot's 2024–2027 AI brand) score deals, project the forecast, and surface pipeline risk, while managers submit and adjust forecasts inside the same CRM their reps already live in.
Because the data sits natively in HubSpot, activity tracking, email logging, and deal stages feed the model automatically without a connector. Forecasting accuracy improves as your historical deal data grows, and the mobile app lets managers adjust calls on the go. It is not as deep as Clari or Gong on automated call analysis, but for the price, the value is unmatched.
Pros:
- No add-on cost — forecasting ships inside Sales Hub Professional
- Native CRM data means zero integration friction
- Breeze AI deal scoring and predictive roll-ups built in
- Easiest adoption for teams already standardized on HubSpot
Cons:
- Less sophisticated than dedicated revenue-intelligence platforms
- Only useful if HubSpot CRM is your system of record
Verdict: The best value in AI forecasting — real predictive features at no extra cost on HubSpot.
4. Aviso
Best for: Enterprises wanting AI-first, explainable forecasting | Pricing: Quote-based (enterprise) | Platform: Web + API + Salesforce/Microsoft sync
Aviso markets itself as an AI-native revenue operating system, and its forecasting is built around proprietary models that blend CRM data, activity signals, and historical patterns. Its Nexus AI assistant answers natural-language questions about the pipeline ("which deals will slip this quarter?") and the platform claims strong forecast accuracy gains in published case studies.
Aviso leans hard into deal-guidance and scenario modeling, letting managers run what-if projections across rep, region, and product. It integrates with Salesforce and Microsoft Dynamics and serves enterprises like Honeywell and RingCentral. The trade-off is a steeper learning curve and an enterprise-only price point, but the AI depth is real.
Pros:
- AI-native architecture purpose-built for forecasting, not bolted on
- Nexus conversational AI for natural-language pipeline queries
- What-if scenario modeling across multiple dimensions
- Strong published accuracy case studies with large enterprises
Cons:
- Enterprise-only pricing with a meaningful onboarding curve
- Smaller ecosystem and community than Clari or Gong
Verdict: A genuinely AI-first forecasting platform for enterprises that want explainable predictions.
5. BoostUp
Best for: RevOps teams wanting flexible, multi-pipeline forecasting | Pricing: Quote-based | Platform: Web + API + CRM sync
BoostUp is a revenue-intelligence platform with a strong emphasis on customizable forecasting — it handles multiple revenue streams (new business, renewals, expansion) in one model. Its AI ingests activity data and CRM signals to score deals and predict the roll-up, and managers like the flexible forecast hierarchies that mirror complex org structures.
The platform surfaces risk and conversion analytics at the deal and rep level, and integrates with Salesforce, HubSpot, and Slack for in-flow alerts. BoostUp is used by companies like Udemy and Cloudflare, and reviewers on G2 highlight its configurability. As with most of this tier, pricing is quote-based and aimed at mid-market and enterprise teams.
Pros:
- Flexible multi-pipeline forecasting for new, renewal, and expansion revenue
- Configurable forecast hierarchies that match real org structures
- Activity-driven deal scoring with risk analytics
- Slack alerts keep managers in the loop without logging in
Cons:
- Pricing is quote-based and not aimed at small teams
- Configurability adds setup complexity up front
Verdict: The best fit when your revenue model is complex enough to break simpler forecasting tools.
6. Salesforce Einstein Forecasting
Best for: Salesforce-standardized orgs wanting native AI forecasting | Pricing: Add-on to Sales Cloud (quote-based, Einstein/Sales Cloud Einstein) | Platform: Web + mobile + API
If Salesforce is your system of record, Einstein Forecasting keeps the AI inside the same platform your reps already use. The Einstein models analyze historical CRM data and pipeline trends to predict the quarter and flag deals that diverge from the forecast, with predictive forecasting baked into Sales Cloud.
Because it is native, there is no third-party connector and the forecast lives alongside opportunities, dashboards, and reports. Einstein GPT / Agentforce capabilities (Salesforce's 2024–2027 AI brand) add conversational deal summaries and next-step suggestions. The limitation is that Einstein relies more on structured CRM data than on automated email and call capture, so it is only as good as your CRM hygiene.
Pros:
- Fully native to Salesforce — no integration overhead
- Predictive forecasting alongside existing reports and dashboards
- Agentforce AI adds conversational deal insight
- Trusted enterprise security and admin controls
Cons:
- Leans on structured CRM data more than activity capture
- Requires a Sales Cloud Einstein add-on, priced by quote
Verdict: The default AI forecasting choice for orgs fully committed to Salesforce.
7. Revenue Grid
Best for: Teams wanting guided selling plus forecasting | Pricing: Quote-based | Platform: Web + API + Salesforce/Outlook sync
Revenue Grid combines activity capture, guided selling, and forecasting in one platform, with a focus on nudging reps toward the actions that close deals. Its AI captures email and calendar activity automatically (strong Outlook and Gmail integration) and feeds that into deal scoring and a predictive forecast.
The standout is its signal-based "Engage" playbooks that alert reps and managers when a deal goes off track. Revenue Grid integrates deeply with Salesforce and serves mid-market and enterprise sales teams. It is less of a pure forecasting specialist than Clari, but the combination of automation and guidance makes the forecast more actionable.
Pros:
- Automatic email and calendar capture with strong Outlook support
- Guided-selling playbooks that act on forecast risk
- Deep Salesforce sync for roll-ups and submissions
- Signal alerts keep deals from quietly slipping
Cons:
- Forecasting is one feature among several, not the sole focus
- Pricing is quote-based and enterprise-oriented
Verdict: A solid pick when you want forecasting and rep guidance from the same tool.
8. Mediafly Intelligence360 (InsightSquared)
Best for: Analytics-heavy RevOps teams that want deep reporting | Pricing: Quote-based | Platform: Web + API + Salesforce sync
The platform formerly known as InsightSquared now ships as Mediafly Intelligence360, and it leans into rich sales analytics and forecasting. Its strength is out-of-the-box reporting — dozens of pre-built dashboards covering pipeline, conversion, and forecast accuracy — plus AI-driven forecast projections built on CRM and activity data.
Managers get scenario modeling and historical-accuracy tracking, which helps teams see whether their forecasts have been optimistic or conservative over time. It integrates with Salesforce and HubSpot and is popular with RevOps analysts who want to slice the data deeply.
The reporting depth is the draw; the forecasting is competent but plays second fiddle to the analytics.
Pros:
- Extensive pre-built dashboards for pipeline and forecast analytics
- Forecast-accuracy tracking over time to calibrate the team
- Scenario modeling across rep, region, and segment
- Strong Salesforce and HubSpot integration
Cons:
- Forecasting is reporting-led rather than prediction-led
- Quote-based pricing aimed at mid-market and up
Verdict: The best choice for analytics-driven RevOps teams that live in the reporting.
9. Outreach Commit
Best for: Sales-engagement-led teams already on Outreach | Pricing: Quote-based (module of the Outreach platform) | Platform: Web + API + CRM sync
Outreach Commit (formerly Canopy) adds AI forecasting and deal-health scoring to the Outreach sales-engagement platform. Because Outreach already captures sequenced emails, calls, and rep activity, Commit has direct access to engagement signals that feed its forecast model.
It scores deal health, predicts the roll-up, and lets managers compare AI projections with submitted numbers. The natural buyer is a team already running Outreach for prospecting and engagement, since the data and workflow are unified. It integrates with Salesforce and Microsoft Dynamics.
As a forecasting specialist it is younger than Clari, but the engagement-data advantage is real for outbound-heavy teams.
Pros:
- Engagement-data advantage from the Outreach sequencing platform
- AI deal-health scoring tied to real rep activity
- Unified workflow for teams already on Outreach
- Salesforce and Dynamics integration for roll-ups
Cons:
- Best value only if you already pay for Outreach
- Younger forecasting product than category leaders
Verdict: A natural forecasting layer for outbound teams standardized on Outreach.
10. Pipedrive (with AI Sales Assistant)
Best for: Small businesses wanting affordable, simple forecasting | Pricing: Professional $49/user/mo; AI features in higher tiers | Platform: Web + mobile + API
Pipedrive is the most affordable, approachable option on this list, built for small businesses and lean sales teams. Its revenue forecast view projects expected revenue by deal close date and probability, and the AI Sales Assistant surfaces deal recommendations and flags neglected opportunities.
Forecasting here is probability-and-pipeline based rather than driven by deep call analysis, but for a small team it is genuinely useful and easy to run. Plans start low (Essential ~$14/user/mo, Professional ~$49/user/mo), with AI features in the Professional and Power tiers, and the mobile app keeps the forecast accessible.
It will not match Clari's accuracy, but it costs a fraction and takes minutes to set up.
Pros:
- Lowest cost and fastest setup of any tool here
- Clear revenue-forecast view by close date and probability
- AI Sales Assistant flags neglected deals automatically
- Excellent mobile app for on-the-go managers
Cons:
- Forecasting is pipeline-math based, not AI-deep
- Lacks automated call and email signal analysis
Verdict: The simplest, cheapest forecasting tool — ideal for small teams that don't need enterprise depth.
Which One Is Right for You?
What to Look For
- Signal coverage over CRM fields: The best AI forecasts read email, calendar, and call activity automatically — a tool that only scores manually entered CRM data is only as accurate as your reps' data hygiene.
- Explainability: A forecast you can't defend is useless in a board meeting. Favor tools that show why a deal is at risk, not just a score.
- Native CRM depth: Match the tool to your system of record — HubSpot, Salesforce, or Dynamics — so roll-ups and submissions stay in one workflow.
- AI vs. Rep comparison: The most valuable feature is seeing the AI-predicted number next to the rep-submitted number, which exposes sandbagging and happy-ears alike.
- Total cost honesty: Quote-based vendors can run $1,000+/user/yr; price the full platform, not just the forecasting module.
What matters less than the hype: flashy dashboards and AI branding mean little if the forecast doesn't beat your reps' own calls. Pilot on one quarter of real data before committing.
FAQ
Does AI actually forecast sales better than experienced managers? For teams with enough historical data and good activity capture, yes — platforms like Clari and Gong consistently show tighter forecast accuracy than rep-submitted numbers because they read behavioral signals managers can't track manually. With thin data, AI offers less edge.
What's the cheapest way to get AI sales forecasting in 2027? HubSpot Sales Forecasting (included in Sales Hub Professional at $100/user/mo) and Pipedrive (from ~$49/user/mo with the AI Sales Assistant) are the most affordable real options that don't require a separate revenue-intelligence contract.
Do I need a separate tool or can my CRM do it? Both HubSpot and Salesforce now ship native AI forecasting (Breeze AI and Einstein), so many teams start there. You move to Clari, Gong, or Aviso when you need automated call/email signal capture and explainable deal-level risk at scale.
How much CRM data do these tools need to be accurate? Most AI forecasting models need several quarters of clean historical deal data to calibrate. Accuracy improves over time, so expect the first quarter to be a baseline rather than a precise call.
Are these tools secure with my sales data? Enterprise vendors like Clari, Gong, and Salesforce carry SOC 2 and enterprise-grade security, and most let you control data retention and training opt-out. Always confirm data-handling terms before connecting your CRM and email.
Which integrates best with Salesforce? Einstein Forecasting is native; Clari, Gong, BoostUp, and Revenue Grid all offer deep Salesforce sync for roll-ups and submissions.
Bottom Line
For accuracy at scale, Clari is the best overall AI sales-forecasting tool in 2027, with proven enterprise results at roughly $1,000–$1,500/user/yr. For the best value, HubSpot Sales Forecasting delivers real AI-assisted forecasting inside Sales Hub Professional at $100/user/mo with no add-on contract.
If you already own Gong, Salesforce, or Outreach, their native forecasting layers (Gong Forecast, Einstein, Outreach Commit) are the fastest path — and Pipedrive covers small teams for under $50/user/mo.
Sources
- Clari — Forecasting platform
- Gong — Revenue forecasting
- HubSpot — Sales forecasting software
- Aviso — AI revenue operating system
- Salesforce — Einstein for Sales
- Pipedrive — Revenue forecasting
- Outreach — Forecasting (Commit)
- G2 — Revenue operations & intelligence category
*AI sales forecasting tools review — best AI for sales forecasting, sales forecasting AI reviews, ratings, best AI revenue intelligence tools 2027, and a review of the top picks.*