4 Best Sales Forecasting Software Tools in 2026
3 years ago, I realized our sales process at Sitechecker was too chaotic, and we needed to start running sales professionally.
We hired Alex Zlotko as a sales consultant for a couple of months and began adding all leads, deals, and follow-ups to HubSpot. Anyway, we made many mistakes, but step by step, our execution and forecasting improved.
The biggest pain we (and I believe other teams too) had was that the reporting and revenue forecasting inside HubSpot is not good enough.
After some time, Alex shared that he launched his own sales forecasting tool, Forecastio, to help with these sales forecasting issues. I was curious how it works and asked him to explain all the top features it has and how it differs from existing software like Clari, Aviso, and Gong. Let’s read what he shared.
Forecastio
Forecastio approaches forecasting differently from most platforms.
Many forecasting tools rely on a single forecasting method. Forecastio combines multiple approaches. This may sound like a small detail, but it matters.
Different sales models require different forecasting approaches.
A company selling enterprise software with nine-month sales cycles should not forecast the same way as a company processing hundreds of smaller transactions every month.
Forecastio supports several forecasting methods:
- AI forecasting
- Weighted pipeline forecasting
- Time series forecasting
- Forecast categories and submissions
These methods are not competing with each other; they complement each other.
Instead of looking at a single number, sales leaders can compare different forecasting perspectives and understand where the forecast is coming from.
1/ AI sales forecasting
Every forecasting platform today talks about AI, but most of them stop there.
The platform analyzes historical CRM data and automatically estimates two things:
- The likelihood of winning a deal;
- The most probable month the deal will close.
The second point is especially important. Many forecasts fail not because sales teams misunderstand which deals will close. They fail because they misunderstand when those deals will close.
A deal slipping into the next quarter can completely change the forecast. Forecastio helps address that challenge automatically.
2/ Forecast categories and submissions
Most companies still rely heavily on sales reps and managers to submit forecast numbers manually. Forecastio gives them additional context before they make a submission.
For example, they can immediately see:
- AI forecast
- Weighted forecast
- Commit amount
- Risky deals
- Risk amount inside forecast categories
Instead of relying only on intuition, teams can use data to support their forecast decisions. This creates healthier forecasting discussions and more consistent submissions.
3/ Time series forecasting
Not every business relies heavily on pipeline forecasting. Companies with recurring revenue or a large volume of transactions often benefit from looking at historical revenue trends as well.
Forecastio includes time series forecasting that allows teams to compare revenue trends against pipeline forecasts and use both perspectives together.
4/ What-if scenarios
Every sales leader eventually asks questions like:
- What happens if these deals slip?
- What happens if we exclude risky opportunities?
- What happens if deal values change?
Forecastio allows teams to create different forecast scenarios in minutes.
They can exclude low-probability deals, adjust close dates, change deal amounts, and instantly see how the forecast changes.
This is particularly useful before board meetings and quarterly planning sessions.
5/ Forecast audit trail (top feature)
Most forecasting meetings eventually lead to the same question: Why did the forecast change?
Surprisingly few platforms answer that question well. Imagine your forecast was $4.2M last week. Today it is $3.8M. Where did the missing $400k go?
In many companies, finding the answer means opening CRM reports, exporting spreadsheets, and reviewing deals one by one. Forecastio shows the answer almost immediately.
For example:
- ACME slipped to the next quarter (-$150k);
- Globex moved from Commit to Best Case (-$120k);
- XYZ deal amount decreased (-$80k);
- One opportunity was lost (-$50k).
Instead of seeing only the final number, sales leaders can see exactly what created the change.
The platform tracks:
- Deals that slipped;
- Deals that were lost;
- Deals that entered the forecast;
- Amount changes;
- Category changes.
This creates a level of transparency that most forecasting processes lack. Instead of spending hours investigating what happened, teams can focus on deciding what to do next.
6/ Forecast accuracy tracking
Almost every platform talks about forecast accuracy, but very few help you improve it.
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Forecastio tracks forecast accuracy over time and compares different forecasting approaches such as AI forecasts, weighted forecasts, and manager submissions.
The platform also tracks accuracy at different points in the quarter and analyzes forecasting discipline, helping teams understand which methods and behaviors produce the most reliable results.
7/ Deal intelligence
Forecasting is only as good as the deals behind it. Forecastio continuously analyzes open opportunities and highlights potential risks before they become forecasting problems.
For example, it can identify:
- Deals with no recent activity;
- Opportunities stuck in the same stage;
- Deals with slipping close dates;
- Missing next steps.
Instead of reviewing every deal manually, managers can focus on opportunities that create the biggest forecast risk. The result is not only a better forecast but also a healthier pipeline.
8/ Pipeline Intelligence
Most CRM dashboards tell you what your pipeline looks like today. Forecastio focuses on helping you understand what is happening inside the pipeline.
Its dashboards help answer questions such as:
- Is enough pipeline being created?
- Where are deals getting stuck?
- Which stages have the biggest leakage?
- How much revenue is slipping?
Pipeline waterfall particularly useful because it clearly shows how opportunities enter, move through, and leave the pipeline over time.
Many forecasting problems start as pipeline problems, and these dashboards make them much easier to spot.
9/ AI agents
Instead of simply showing reports, Forecastio is introducing AI agents that continuously monitor forecasting and pipeline data.
For example:
- Deal Review Agent identifies risky opportunities and recommends actions.
- Forecast Accuracy Agent analyzes historical forecasting performance.
- Forecast Review Agent explains what changed in the forecast and why.
Many vendors talk about AI. These use cases felt practical and directly connected to everyday forecasting challenges.
10/ Flexible enough for real businesses
Many businesses have more than one revenue stream. They may sell new business, renewals, professional services, or expansion revenue.
Forecastio allows teams to forecast across different dimensions, including teams, pipelines, sales reps, regions, and deal types.
This makes it easier to manage complex forecasting environments without creating multiple disconnected forecasting processes.
11/ Pricing
Many enterprise forecasting platforms require custom pricing discussions before you can even estimate the investment. Forecastio is more transparent. Pricing starts at $249 per month and scales based on team size.
For growing sales organizations, especially HubSpot users, it offers many enterprise-level forecasting capabilities without enterprise-level complexity or pricing.
Clari
Clari is probably the most recognized name in the revenue forecasting space. The platform is powerful and clearly built for larger organizations.
It combines forecasting, pipeline inspection, revenue intelligence, and sales execution capabilities into a single platform.
What people like:
- Strong revenue operations functionality;
- Mature platform;
- Large customer base;
- Extensive reporting capabilities.
The biggest downside is complexity. Clari is not a lightweight solution. Implementation can take time, and the platform is generally better suited for larger organizations with dedicated RevOps resources.
Aviso
Aviso is another strong enterprise forecasting platform. The company has invested heavily in AI and predictive forecasting. The platform provides forecasting, deal inspection, and revenue intelligence capabilities.
Top features:
- Strong AI positioning;
- Good forecasting functionality;
- Useful deal-level insights.
The main challenge is that Aviso is primarily designed for larger organizations. For smaller teams, the platform may feel more complex than necessary.
Gong
Most people know Gong for conversation intelligence. The platform became famous because of its ability to analyze sales calls and customer interactions. Over time, Gong expanded into forecasting and revenue intelligence.
Top features:
- Excellent visibility into sales conversations;
- Strong deal inspection capabilities;
- Valuable activity insights.
That said, I still view Gong primarily as a conversation intelligence platform rather than a dedicated sales forecasting tool. Its forecasting functionality is useful, but forecasting is not the core reason most companies buy Gong.
Final thoughts
The best sales forecasting software is not the one with the most dashboards. It is the one that helps you trust your forecast.
Clari is excellent for large enterprise organizations. Aviso has strong AI capabilities. Gong provides outstanding conversation intelligence. But Forecastio is the platform that consistently answers the questions you care about most.
- Why did the forecast change?
- Which deals create the biggest risk?
- How accurate are our forecasts?
- Which forecasting method should we trust?
Most sales forecasting software tells you what your forecast is. Forecastio helps you understand whether you should believe it. And for many revenue teams, that difference is exactly what matters.
