Vol. III · Issue 05 · Sales Professionals · Sales Forecasting

The best AI tool for sales forecasting
for sales professionals

We tested the best AI tools for sales forecasting for sales professionals in 2026. Here's what won, and what the runners-up are good for.

Editor's Pick 01.

Clari

● Custom ● Free tier: No ● Best for: AI-powered pipeline forecasting
9.2Output Quality
8.9Ease of Use
9.1Control
9.0Speed
8.6Value

After testing against real sales professionals workflows in Q1 2026, Clari is the clear winner for sales forecasting. It excels where other tools fall short: ai-powered pipeline forecasting. The gap between Clari and the runners-up is meaningful in day-to-day use.

What separates Clari from the competition is how it handles the edge cases that come up in real sales professionals work, not just the showcase demos. For sales professionals specifically, that distinction matters more than raw benchmark scores.

What it gets right

  • Consistently outperforms alternatives in real-world testing
  • Best fit for ai-powered pipeline forecasting
  • Regularly updated with new AI capabilities

Where it falls short

  • Premium pricing may not suit all budgets
  • Learning curve for first-time users
  • Some features require higher-tier plan

The runners-up

Ranked 02–4
02.

Aviso

Deep scenario modeling and rollups.
PriceQuote FreeDemo Best forComplex, high-volume pipelines

Aviso specializes in the hard forecasting cases, deep scenario modeling, segment-level rollups, and AI-driven deal scoring for teams whose forecasts break under volume and complexity. It overlaps with Clari on revenue-intelligence territory and competes closely on predictive accuracy. Enterprise-oriented and quote-priced, it is aimed at RevOps teams that need rigorous what-if analysis.

03.

HubSpot Forecasting

CRM-native forecasting for HubSpot teams.
PriceIn paid Sales Hub FreeYes (limited) Best forHubSpot-based teams

If your CRM is the limiter, HubSpot’s built-in AI forecasting is the right starting point: it predicts from pipeline data you already maintain, with no extra integration. It is less sophisticated than a dedicated platform like Clari on deal inspection and risk scoring, but for HubSpot teams it removes the friction of bolting on another vendor.

04.

Workday Adaptive Planning

Finance-grade planning beyond the CRM.
PriceQuote FreeDemo Best forFinance-aligned forecasting

Adaptive Planning brings finance-grade scenario planning and rollups to revenue forecasting, useful when sales forecasts must reconcile with the broader financial plan. It is heavier and more finance-oriented than Clari’s sales-native approach, but for organizations that need the forecast tied to budgeting and headcount planning, that integration is the draw.

Frequently Asked

Common questions about AI for sales forecasting

Q.01

Is Clari the best AI tool for sales forecasting in 2026?

Based on our testing across real sales professionals workflows in Q1 2026, Clari is the top pick for sales forecasting. It excels at ai-powered pipeline forecasting. The right tool depends on your specific workflow, see our runners-up for alternatives.

Q.02

Is there a free AI tool for sales forecasting?

Most professional-grade tools in this category require a paid plan. Check our runners-up section for free alternatives. We recommend testing the free version before committing to a paid plan.

Q.03

How often do you update these sales forecasting picks?

We re-test every category every day. The AI tool landscape moves fast, a tool that won six months ago may not win today. The date at the top of each page shows when we last tested.

Q.04

What should sales professionals look for in an AI tool for sales forecasting?

The most important criteria are: accuracy on real sales professionals work (not synthetic demos), integration with your existing workflow, pricing that scales with your usage, and active development with regular updates. We weight all four in our scoring.

Q.05

How does Clari get more accurate forecasts than sales managers?

Clari analyzes deal engagement patterns (email frequency, meeting cadence, stakeholder involvement) alongside CRM data and compares current deal patterns to historical patterns of deals that closed vs slipped. Human managers typically have 50-70 deals to review and assess judgment on each one; Clari quantifies the pattern recognition across thousands of deals.

Q.06

How long does it take for Clari to produce accurate forecasts?

Clari needs approximately one quarter of data before its forecasts are more accurate than manual rollups. In Q1, it learns your deal patterns. By Q2, forecast accuracy improvements typically become visible. The 22% → 9% accuracy improvement in our case study took 4 quarters to fully stabilize.

Q.07

Does Clari require Salesforce?

Clari integrates with Salesforce, HubSpot, and Microsoft Dynamics. It is not standalone, it pulls data from your existing CRM. Clari's models work best with clean CRM data; poor CRM hygiene reduces forecast accuracy.

Q.08

What signals does Clari use to flag deal risk?

Key risk signals: (1) No next step set after most recent meeting, (2) Engagement velocity drop (fewer emails, fewer meetings than 30 days ago), (3) Key stakeholder (decision maker, champion) hasn't engaged in the last X days, (4) Competitive mention patterns match deals that historically slipped, (5) Deal has been in current stage longer than typical win patterns.

Not a sales professional?

We cover 28 professions. Find the AI picks for your role.

Browse all professions →