Aviso
Aviso differentiates on AI depth. The platform uses machine learning to predict close dates, win probability, and at-risk deals, then surfaces recommended actions (schedule a follow-up call, engage the CFO, send pricing) directly in the forecast workflow. Aviso positions itself as the intelligent forecasting layer on top of Salesforce, not just a reporting tool.
Official site ↗Why it ranks here
- Aviso AI models are trained on your historical opportunity data to predict outcomes. Deal risk scoring and close date predictions improve over time as the system learns your sales patterns.
- Guided selling workflows surface next best actions for each deal, helping reps prioritize their time and giving managers coaching opportunities.
- Aviso includes a mobile-first forecast submission UI, which matters for field sales teams that do not sit at desks during forecast calls.
Where it sits
- Aviso wins on AI-native forecasting and mobile UX. If you want predictive insights and guided actions baked into the forecast workflow, Aviso is a strong pick.
- It competes with BoostUp on AI deal scoring and with Clari on forecast maturity. Aviso sits between the two: more AI than Clari, more mature than BoostUp.
- Aviso loses on ecosystem and install base. Clari and Gong have larger customer bases and more third-party integrations. Aviso is strong but not yet category-leading.
How GTM Operations teams use it
- RevOps connects Aviso to Salesforce and configures the AI models to train on the past two years of closed opportunities, then defines forecast categories and submission workflows.
- Reps submit forecasts in Aviso (web or mobile), and the platform flags deals that are forecasted to close but have low AI confidence scores, prompting managers to inspect.
- Guided selling workflows recommend next steps for each deal based on historical close patterns: if deals that close typically have a CFO engaged by week 6, Aviso reminds the rep to schedule that call.
- RevOps monitors forecast accuracy over time and uses Aviso analytics to identify which segments or managers consistently over- or under-forecast.
In-depth notes
- Pricing is per-user monthly with annual contracts. Aviso does not publish a pricing page; expect to request a quote.
- AI model training requires at least 12 months of historical opportunity data. If you just launched Salesforce or have sparse historical data, initial predictions will be weak.
- Aviso writes AI-generated fields (predicted close date, win probability, risk score) back to Salesforce. RevOps must create custom fields and manage field-level security.
- Mobile forecast submission is a differentiator, but most sales orgs still run forecast calls on shared screens in conference rooms. Mobile is nice to have, not essential.
- The product competes with both Clari and People.ai. Aviso is stronger on forecasting than People.ai but less mature than Clari in enterprise forecast mechanics.
Best for
Sales orgs that want AI-driven forecasting and guided selling workflows, especially teams with field sales reps who need mobile forecast submission.
Avoid if
You have less than 12 months of clean historical opportunity data, or you need the deepest possible multi-level rollup and scenario planning features (Clari is better).
The rest of Forecasting & revenue intelligence
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Setup
Connect Salesforce via OAuth and configure Aviso to train AI models on the past 12-24 months of closed opportunity data. Map forecast categories and define submission workflows while the models train.
First thing to build
Deploy the AI-predicted close date and win probability fields to one sales segment. Use the guided selling recommendations to coach reps on next best actions for deals with low AI confidence scores.
What actually matters
- Configure AI model training on at least 12 months of historical opportunity data; more history improves prediction accuracy for close dates and win probability.
- Map Salesforce stages to forecast categories and define submission cadences, then enable guided selling workflows to surface next best actions per deal.
- Set up mobile forecast submission for field sales reps who do not sit at desks during forecast calls, allowing them to submit on the go.
- Create custom Salesforce fields to receive Aviso-generated data (predicted close date, win probability, risk score) and manage field-level security to avoid rep confusion.
Watch out
Aviso AI models require at least 12 months of clean historical data to train effectively. If your Salesforce data is sparse, inconsistent, or recently migrated, initial predictions will be weak and managers will not trust the system.