A forecast that misses by ten percent can cost a sales team its quarter, and research from Forrester found that 79 percent of sales organisations miss their forecast by more than ten percent. The top 10 ai tools for sales forecasting exist because the old method, a manager asking each rep what will close, breaks down the moment a pipeline passes fifty deals. This guide compares ten platforms on published prices, the forecasting job each one does best and the catch that only shows up after the contract is signed.
The tools here split into three groups. Dedicated forecasting platforms such as Clari and Aviso build the number from pipeline, activity and conversation data. Conversation platforms such as Gong add the forecast as a module on top of call intelligence. CRM-native tools such as Salesforce Einstein, HubSpot and Zoho Zia forecast inside the system the team already uses. The right group depends on team size, CRM and budget, in that order.
Every price below is the published starting price as of late 2026, or a buyer-reported range where the vendor publishes nothing. Where a vendor is quote-only, this guide says so plainly instead of guessing a number. Use the shortlist first, then read the reviews that match the forecasting jobs teams do most.
The Shortlist, Side by Side
The table below matches each common forecasting task type to the single tool that handles it best. Use it to narrow the list to two or three top forecasting candidates before reading the full reviews. Monthly list prices apply below unless noted, and annual billing usually beats monthly billing for sales forecasting here.
| Job | Best tool | Why it wins |
|---|---|---|
| Enterprise revenue teams that need one forecast number everyone trusts | Clari | Pricing on request; buyer reports put it near 100 dollars per user a month |
| Teams already running Gong who want call evidence behind the number | Gong Forecast | Pricing on request; bundles that include Forecast are reported near 240 dollars per user a month |
| Enterprise teams that judge a forecast on accuracy above all else | Aviso | Pricing on request; buyer reports put large deployments near 50,000 dollars a year and up |
| Salesforce teams that want forecasting inside the CRM they already use | Salesforce Sales Cloud with Einstein | From 25 dollars per user a month for the Starter plan |
| HubSpot teams that want a forecast without a separate platform | HubSpot Sales Hub | Starter from 20 dollars per user a month; AI forecasting depth sits on Professional and higher |
| Small businesses that want AI predictions at a small-business price | Zoho CRM with Zia | Zoho CRM Standard from 14 dollars per user a month |
| Small teams that want a visual pipeline with a forecast attached | Pipedrive | Essential from 14 dollars per user a month; AI features sit on higher tiers |
| HubSpot teams that want a dedicated forecast layer without enterprise pricing | Forecastio | From 199 dollars a month |
| Revenue teams whose CRM data is patchy and need activity captured automatically | People.ai | Pricing on request |
| Mid-market SaaS teams that want multi-model forecasting at a lower price than Clari | BoostUp | From about 79 dollars per user a month, according to buyer reports |
How We Chose the Tools on This List
Only tools doing a real forecasting job well in 2026 made this list for sales forecasting, not products with a fresh AI label on old software. The top 10 ai tools for sales forecasting were judged on five things that decide whether a buyer keeps paying after the first year.
The job came first, since a tool that does one forecasting routine task well beats a platform that does five poorly for sales teams. Published pricing and scaling came second, with per-seat charges that change the real bill for sales teams as the team grows. Output quality came third, because a wrong forecasting output error costs more than the subscription saves.
Fourth, how it fits the workflow it claims to serve for sales teams, from integrations to the way core forecasting data gets in and out. Fifth, the catch, from free plans that cap the useful forecasting toolkit today to quote-only pricing that hides the real cost until the call.
| Check before you buy | What to ask | Why it matters |
|---|---|---|
| Published price | Is there a number on the pricing page | A quote-only tool hides the real cost |
| Free plan limits | What is capped or watermarked | A capped free plan cannot be tested properly |
| Data quality | Where does the AI get its facts | A wrong answer costs more than the subscription |
| Integrations | Does it connect to your current stack | A tool that sits alone gets abandoned |
| Contract terms | Monthly or annual, and what year two costs | Annual billing locks the price but not the need |
| Support and setup | How long to go live, and who helps | A tool that takes months to set up delays the return |
The Tools, Reviewed One by One
1. Clari
Starting price Pricing on request; buyer reports put it near 100 dollars per user a month. Best for Enterprise revenue teams that need one forecast number everyone trusts.
Clari pulls pipeline, activity and CRM data into a single roll-up, so a revenue leader sees the same forecast the reps see, with no spreadsheet in between. Its inspection views flag deals that slipped, stalled or lost coverage, and the commit, best-case and pipeline views keep the weekly forecast call honest.
The trade-off is cost and setup: implementation takes weeks, and the full bill grows with modules and services, so it fits teams with fifty or more reps better than a ten-person sales floor.
Can one platform give a sales org a single forecast number everyone trusts? Clari is the strongest answer here. The cost is time: implementation takes weeks, and modules keep adding to the bill, so ask for the full first-year figure in writing before the trial starts. Test it on your own pipeline for a week and set its number against the one your reps already believe.
2. Gong Forecast
Starting price Pricing on request; bundles that include Forecast are reported near 240 dollars per user a month. Best for Teams already running Gong who want call evidence behind the number.
Gong Forecast reads what actually happened on calls and in emails, then ties that evidence to each deal, so a forecast rests on buyer signals instead of rep optimism. Deal warnings surface when a champion goes quiet or a next step slips, and managers can coach from the same record the forecast is built on.
The catch is the price tag and the platform fee, which put it out of reach for small teams, and it only earns its keep when the team already lives inside Gong.
Gong Forecast never publishes a price, and that silence is the first filter: the platform fee on top of the licence puts it out of reach for small teams. What it sells is call evidence behind the forecast number, and for a sales org that argues over whose number is right, that evidence ends the argument. Get the full quote, platform fee included, before trialling it on live calls.
3. Aviso
Starting price Pricing on request; buyer reports put large deployments near 50,000 dollars a year and up. Best for Enterprise teams that judge a forecast on accuracy above all else.
Aviso runs dozens of AI agents across pipeline inspection, opportunity scoring and conversation data, and it publishes accuracy claims near 98 percent on clean data. Its win-score and deal-level predictions give RevOps a ranked list of where to spend the week, instead of a flat list of open deals.
The catch is that nothing is published on price, onboarding is a project in itself, and the accuracy claim depends on CRM data that is complete and current.
Nothing about Aviso’s price or onboarding is published, so the first step is a sales conversation, not a signup page. That suits enterprise teams, who expect a rollout, and rules out anyone who wants to self-serve. Judge it on one question: does it save your forecast owners more hours than the subscription costs? Put it on real pipeline data for a week and count the hours.
4. Salesforce Sales Cloud with Einstein
Starting price From 25 dollars per user a month for the Starter plan. Best for Salesforce teams that want forecasting inside the CRM they already use.
Einstein scores opportunities, predicts close dates and flags deals at risk without a second system, because the forecast lives where the pipeline lives. Sales Cloud forecasting adds quotas, territories and roll-ups, so a manager can run the forecast call from the same screens the reps update every day.
The catch is that the deeper AI features sit on higher tiers, and a team that is not already on Salesforce will pay far more than the Starter price suggests.
Skip Salesforce Sales Cloud with Einstein as a forecasting buy if your team lives outside Salesforce; the forecast only makes sense inside the CRM. For teams already on the platform, though, forecasting where the deals already live is the draw. The catch is tiering: the deeper AI features sit on higher tiers, so price the tier you would actually run before the trial ends. Test it on your own pipeline for a week.
5. HubSpot Sales Hub
Starting price Starter from 20 dollars per user a month; AI forecasting depth sits on Professional and higher. Best for HubSpot teams that want a forecast without a separate platform.
Sales Hub builds its forecast from deals, emails and meetings already logged in HubSpot, so a small team gets a credible number with almost no setup. Its AI features score deals, draft follow-ups and summarise calls, which keeps the CRM current enough for the forecast to mean something.
The catch is that the most useful forecasting views need Professional, and a team on Starter will outgrow the forecast it can see within a year.
Three checks before HubSpot Sales Hub goes on the shortlist. First, the forecasting views that matter need Professional, and a team on Starter will outgrow it fast. Second, at about 20 dollars per user a month, the bill scales with headcount, so multiply before you commit. Third, run it on your own pipeline for a week: if the forecast it produces is the one your team already trusts, it earns its keep.
6. Zoho CRM with Zia
Starting price Zoho CRM Standard from 14 dollars per user a month. Best for Small businesses that want AI predictions at a small-business price.
Zia, the AI layer inside Zoho CRM, predicts deal outcomes, spots anomalies in the pipeline and suggests the best time to contact a prospect. The CRM itself covers leads, quotes and workflows, so a ten-person team can run sales and forecasting from one subscription.
The catch is that Zia is lighter than a dedicated forecasting platform, and the predictions are only as good as the data a small team bothers to enter.
Against the dedicated forecasters, Zoho CRM with Zia trades depth for price: Zia is lighter than a dedicated platform, but at 14 dollars per user a month it brings AI predictions in reach for a small business. That trade is right when the job is a forecast inside the CRM you use, and wrong when forecasting is the whole job. Get the tier in writing, then run it on your deals for a week.
7. Pipedrive
Starting price Essential from 14 dollars per user a month; AI features sit on higher tiers. Best for Small teams that want a visual pipeline with a forecast attached.
Pipedrive keeps the pipeline visual and the forecast simple: weighted values per stage, a clear view of what closes this month, and AI summaries on the plans that include them. Its Sales Assistant flags deals that need attention, and the mobile app means reps update deals from the road instead of on Friday afternoon.
The catch is that the forecast is stage-based rather than signal-based, so it will not catch a deal that looks healthy on paper and is dead in reality.
Pipedrive earns its place on a simple test: does your team think in a visual pipeline first and a forecast second? If so, the forecast attached to each stage is enough. The limit is method: the forecast is stage-based rather than signal-based, so it will not catch a deal going quiet. Try it on your own pipeline for a week and see whether its number matches the one your team trusts.
8. Forecastio
Starting price From 199 dollars a month. Best for HubSpot teams that want a dedicated forecast layer without enterprise pricing.
Forecastio sits on top of HubSpot and turns deal data into forecasts, quota tracking and pipeline inspection views that HubSpot alone does not offer. It adds scenario planning and rep-level targets, so a sales manager can see who is short and by how much before the month ends.
The catch is that it only works with HubSpot, so a team that switches CRM loses the tool, and the flat price stings for a team of two or three.
Forecastio only makes sense for one buyer: a team already on HubSpot that wants a dedicated forecast layer without enterprise pricing, and at about 199 dollars a month it is priced for exactly that buyer. The catch is the lock-in, since it only works with HubSpot, so confirm the tier and renewal terms before the trial ends, and keep a human eye on every AI output.
9. People.ai
Starting price Pricing on request. Best for Revenue teams whose CRM data is patchy and need activity captured automatically.
People.ai captures emails, meetings and calls automatically and writes the activity into the CRM, so the forecast is built from what reps actually did. Its account and opportunity views show engagement per deal, which helps managers spot a quiet account before it shows up as a missed number.
The catch is enterprise pricing and a deployment that needs RevOps time, and the value drops fast if the team already keeps its CRM clean.
The decision rule for People.ai is simple: if a revenue team has RevOps support and an enterprise budget, it is worth a look; without either, it is the wrong tool. The platform is built for revenue teams, and the deployment shows it, since it needs RevOps to run. Get the full quote first: enterprise pricing hides the real number, then run it on live revenue data for a week and count the hours it saves.
10. BoostUp
Starting price From about 79 dollars per user a month, according to buyer reports. Best for Mid-market SaaS teams that want multi-model forecasting at a lower price than Clari.
BoostUp, now sold as Terret, handles subscription, consumption and renewal revenue in one forecast, which suits SaaS teams whose revenue is not all new deals. Its RevBI views let RevOps slice the forecast by segment, product or region without exporting to a spreadsheet.
The catch is a smaller ecosystem than Clari or Gong, and the rebrand means some older reviews and integrations carry the old name.
At about 79 dollars per user a month, BoostUp only pays when the team needs multi-model forecasting at a lower price than Clari, and for that team it is one of the cheapest here. The catch is the smaller ecosystem than Clari or Gong, and the rebrand means older reviews carry the old name, so check the integration list before the trial ends. Give it a week on your pipeline and set its number against the one your reps already believe.
How the Tools Compare
The table below puts the top 10 ai tools for sales forecasting side by side on price, best job and free plan, so you can compare the published prices against the quote-only tools at a glance. The cheapest way to read it is by forecasting job type, not by price, because a tool that costs little and cannot do the job is more expensive than a tool that costs more and does it well.
| Tool | Starting price | Best for | Free plan |
|---|---|---|---|
| Clari | Pricing on request; buyer reports put it near 100 dollars per user a month | Enterprise revenue teams that need one forecast number everyone trusts | Trial only |
| Gong Forecast | Pricing on request; bundles that include Forecast are reported near 240 dollars per user a month | Teams already running Gong who want call evidence behind the number | Trial only |
| Aviso | Pricing on request; buyer reports put large deployments near 50,000 dollars a year and up | Enterprise teams that judge a forecast on accuracy above all else | Trial only |
| Salesforce Sales Cloud with Einstein | From 25 dollars per user a month for the Starter plan | Salesforce teams that want forecasting inside the CRM they already use | Trial only |
| HubSpot Sales Hub | Starter from 20 dollars per user a month; AI forecasting depth sits on Professional and higher | HubSpot teams that want a forecast without a separate platform | Trial only |
| Zoho CRM with Zia | Zoho CRM Standard from 14 dollars per user a month | Small businesses that want AI predictions at a small-business price | Trial only |
| Pipedrive | Essential from 14 dollars per user a month; AI features sit on higher tiers | Small teams that want a visual pipeline with a forecast attached | Trial only |
| Forecastio | From 199 dollars a month | HubSpot teams that want a dedicated forecast layer without enterprise pricing | Trial only |
| People.ai | Pricing on request | Revenue teams whose CRM data is patchy and need activity captured automatically | Trial only |
| BoostUp | From about 79 dollars per user a month, according to buyer reports | Mid-market SaaS teams that want multi-model forecasting at a lower price than Clari | Trial only |
Best Pick by Job: the top 10 ai tools for sales forecasting by role
The top 10 ai tools for sales forecasting are not the ones with the longest feature list. Those tools fix the slowest part of the week, and for sales forecasting that part depends on the forecasting work role. The table below names one pick per role, so a buyer can skip the full reviews and start with the forecasting work tool that fits the job.
| Role | Best pick | Why |
|---|---|---|
| Solo practitioner | Clari | Enterprise revenue teams that need one forecast number everyone trusts |
| Small team | Gong Forecast | Teams already running Gong who want call evidence behind the number |
| Growing business | Aviso | Enterprise teams that judge a forecast on accuracy above all else |
| Enterprise buyer | Salesforce Sales Cloud with Einstein | Salesforce teams that want forecasting inside the CRM they already use |
| Budget buyer | HubSpot Sales Hub | HubSpot teams that want a forecast without a separate platform |
How to Choose for Your Work
Begin with the slowest forecasting pain point, not the vendor homepage. The top 10 ai tools for sales forecasting earn their keep by giving back the hours a manual process used to eat, and the right one is the tool that fixes the bottleneck you actually feel, not the one with the longest feature list. Trial it on real forecasting work, with real data, before committing to annual billing.
Price the whole forecasting work bill, not the headline. Per-seat charges, add-ons and setup fees are the lines that surprise sales teams, so get them in writing before signing, and annual billing usually saves about twenty percent. Ten dollars a seat looks cheap until sales forecasting multiply it by fifty seats.
Run the trial in five steps for sales teams. First, pick the two tools from the shortlist that match the core forecasting task. Second, load real data from the team’s own forecasting work, not a vendor demo. Third, do the core forecasting routine task three times and time it. Fourth, check the forecasting work output against a reference the team trusts. Fifth, price the full year, including seats and add-ons, before sales forecasting sign.
What to Watch in 2026
The forecasting work prices in this guide shifted several times during 2026, so a January homepage number often differed by November. Treat each price as a starting point for sales teams, confirm it on the vendor page, and get the renewal price in writing before an annual contract. The cheapest homepage plan is rarely the one a working sales teams keeps.
Watch accuracy second. AI summaries, scores and predictions for sales teams are drafts, not verdicts, and tools grounded in the team’s own forecasting case files beat tools guessing from general knowledge. Test outputs on real forecasting files today with a human check before anything reaches a client, and count the cost of one wrong answer against a month of subscription.
Whether the tool connects decides whether sales teams still use it in a month. Products wired into the CRM, the practice system or the team’s database get adopted, since the core forecasting figures already lives there. Products needing weekly manual exports get abandoned by sales teams, however smart the demo looks. Check the vendor integration list and trial the one forecasting work connection that matters most.
Data handling matters more in 2026 than it did two years ago for sales teams. Ask where the live forecasting data is stored, whether it is used to train models, and what happens to it when the subscription ends. The answer should be in the vendor terms for sales teams, not in a sales email. For health, legal and financial forecasting work, a signed data agreement and a clear retention policy are not optional extras.
Run the trial like a test, not a tour, for sales teams. Take two tools from the shortlist, load real forecasting records now, repeat the core job three times and measure the hours saved. No real forecasting work saving in two weeks means no saving in a year for sales teams. That discipline is what keeps a forecasting work purchase from becoming a subscription that quietly renews.
| Year-one cost check | What to count | Why buyers miss it |
|---|---|---|
| Seats | Every user, not just the first | Per-seat pricing multiplies fast |
| Add-ons | AI features, integrations, support | The core job often needs a paid tier |
| Implementation | Setup, migration, training | Enterprise tools charge for onboarding |
| Renewal | Year-two price, not the intro offer | Discounts expire and prices rise |
Frequently Asked Questions
What is the cheapest solid start for sales forecasting
The cheapest credible start depends on the core forecasting task, and the free plans here are the right first step. Trial the tool that matches the main forecasting daily task on real work for two weeks, and only pay when the free plan hits a limit you actually feel. The top 10 ai tools for sales forecasting that cost the least are not always the cheapest in year one, because per-seat charges and add-ons change the real bill.
Is the AI output accurate enough for forecasting work
It will be accurate enough to draft for sales teams, not accurate enough to publish unchecked. Every tool on this list can produce a wrong answer, a wrong number or a fabricated citation, so a human must check the forecasting work output against a trusted source before it goes to a client. The tools that ground their answers in the team’s own forecasting numbers here are safer than the ones that guess from general knowledge.
Should sales teams buy one tool or two for forecasting work
One general tool plus one specialist covers most everyday forecasting buyers. The general tool does the everyday forecasting standard job, and the specialist fixes the single weekly pain it cannot handle, from bulk review to deep research. Buying three at once is the classic mistake for sales forecasting, since the second and third subscriptions sit idle while the first does the work.
What is a realistic year-one budget for small sales teams
A realistic year-one budget is the monthly price times twelve, plus twenty percent for seats, add-ons and implementation for sales teams. A solo buyer can run most of these forecasting work tools for under fifty dollars a month. A team of ten should budget for the per-seat price on every seat for sales teams, not just the first, and should ask the vendor for the year-two price in writing.
Can I move to another forecasting software tool later and keep my work
Yes, with exports done as sales teams go. Hold source data in the team’s own system, export clean forecasting summaries and plans often, and skip any tool that charges to release history. Tools on this list that connect to a CRM, EHR or database ease switching, since the data of record stays in a system sales forecasting already own.
How should sales forecasting judge the free trial
Three checks decide the trial for sales forecasting: accuracy on real forecasting records now, fit with the workflow the team already uses, and a price at the team’s size that can be defended. Demo-only trials tell nothing, so load real forecasting work, bring in the daily users, and measure the time saved in week one.
The Final Word
If you buy one tool this quarter, buy Clari if it matches the job you do most each week, and buy Gong Forecast if your work leans the other way. The top 10 ai tools for sales forecasting earn their keep by giving you back the hours a manual process used to eat, and both of these do that from the first week. Begin with the slowest forecasting pain point, trial on real work, and check every AI output by eye before a client sees it, for sales forecasting.
Whatever sales forecasting pick, measure the return in hours saved and decisions made faster for sales teams, rather than in features used. The tools on this list all work for forecasting work. The difference is whether the tool matches the work the team actually does, and whether it is still in the forecasting work stack a year from now. That is the test every purchase here has to pass, and it is the test this guide was built to help sales teams run.