Software advice
Best AI Sales Forecasting Software in 2026
AI sales forecasting software is a tool that reads CRM records, email and meeting activity, then projects what a sales team will close in a month or quarter, flags deals that look unlikely and lets managers submit a commit number. It differs from a CRM, which stores the records, and from a spreadsheet roll-up, which relies on what reps type in by hand.
Quick answer
HubSpot ranks first because Sales Hub prints its tiers, seat prices and onboarding fees. Salesforce fits teams that already run its CRM and accept per-edition pricing. Ebsta suits Salesforce or HubSpot teams that want a 14-day trial and a stated accuracy guarantee.
A sales leader who shops for forecasting software usually has a quarter-end problem: the number reps call on Monday is not the number finance sees on Friday. Vendors answer with models, agents and accuracy claims that sound alike, yet most pages keep prices behind a quote and say little about how a prediction is built. This ranking therefore weighs what a buyer can check: printed prices, stated certifications, hosting details, CRM requirements and trial terms. We read vendor pages in November 2026 and ran no forecast ourselves, so every accuracy figure quoted below belongs to the vendor that published it. Where a vendor shows no price, certification or hosting detail, we say so instead of guessing, and we mark that gap as part of the ranking.
The 10 best AI sales forecasting software in 2026, ranked
There is no score. Vendors can pay for more visibility on this website, for example a higher place in a ranking or more room on a page. Commercial relationships can also affect which products we feature and how prominently. How we rank.
| # | Tool | Best for | Free plan | Entry price |
|---|---|---|---|---|
| 1 | HubSpot | Teams already on HubSpot that want forecast roll-ups without adding a vendor | Yes | $90 per seat per month (Sales Hub Professional) |
| 2 | Salesforce Sales Cloud | Larger Salesforce teams that want forecasting, quoting and agents under one contract | Trial | $100 per user per month (Pro Suite, billed annually) |
| 3 | Ebsta | Salesforce or HubSpot teams that want a trial and an accuracy guarantee in writing | Trial | Quoted |
| 4 | Revenue Grid | Revenue teams that want relationship context and a stated SOC 2 and ISO 27001 posture | No | Quoted |
| 5 | Kluster | Finance and RevOps leaders who want sales forecasts tied to FP&A models | No | Quoted |
| 6 | Gong | Teams that want forecast numbers built from call and deal signals | No | Quoted |
| 7 | Terret | Revenue leaders who want a weekly forecast narrative plus a free proof of concept | Trial | Quoted |
| 8 | Clari Forecast (Salesloft) | Enterprise sales orgs wanting forecast roll-ups with an AI call number beside the human one | No | Quoted |
| 9 | Aviso | Enterprise revenue teams that want forecasting, coaching and agents on one platform | No | Quoted |
| 10 | Xactly Forecast | Companies that pay sales commissions and want pay data inside the forecast | No | Quoted |
- 1
HubSpot
HubSpot ranks first because the Sales Hub pricing page prints seat prices for every tier, names the onboarding fees and says which tiers include default and custom forecasting. Roll-ups, forecast categories, weighted pipelines and snapshot history sit inside the CRM, so no sync needs auditing. The AI side is less detailed, and the page itself says accuracy depends on clean CRM data and consistent stages.
Strong on
- Seat prices and onboarding fees are public for Professional and Enterprise
- Forecasts can span several pipelines, with permissions on who submits
- No separate integration to maintain when deals already live in HubSpot
Weak on
- Forecasting is a premium feature and missing from the lower tiers
- The forecasting page shows an AI view but explains little about the model
Skip it if: Companies on Salesforce or another CRM, or teams that want a model trained on call content. Forecasting starts at Professional. One-time onboarding fees of $1,500 (Professional) and $3,500 (Enterprise) apply.
- 2
Salesforce Sales Cloud
Salesforce sits second because the pricing page prints every edition and links forecasting and AI to specific tiers, though the comparison table is hard to read and the page says details need a sales contact. Pro Suite lists quoting and forecasting at $100. The Agentforce add-on from $125 raises the real cost, so the total per seller can pass $300.
Strong on
- Four editions have printed per-user prices, billed annually
- Pro Suite includes quoting and forecasting at the lowest paid level
- Agentforce for Sales is offered as a separate add-on with a stated price
Weak on
- Which forecasting feature belongs to which edition is unclear in the table
- Costs climb quickly once the AI add-on is counted per seller
Skip it if: Small teams on a tight budget or companies that do not already run Salesforce. Core, Advanced and Max cost $195, $395 and $550. Agentforce for Sales is an add-on from $125.
- 3
Ebsta
Ebsta takes third place because it states things a buyer can hold it to: a 14-day trial with all features, an ISO 27001 badge, a London registered address and a guarantee of forecasts within plus or minus 10 percent in six months. Prices are quote-only. Full access needs Bulk API and at least Salesforce Enterprise, a requirement worth costing first.
Strong on
- Trial terms and CRM edition requirements are listed on the pricing page
- Guarantee of forecasts within 10 percent of the figure in six months
- ISO 27001 badge and an AWS processing statement in the privacy policy
Weak on
- No price is shown for any of the plans
- The feature pages say little about the AI behind the forecast
Skip it if: Teams on an older Salesforce edition without Bulk API, or on a CRM other than Salesforce or HubSpot. Quote only. Revenue Intelligence has a 14-day trial when connected to Salesforce or HubSpot.
- 4
Revenue Grid
Revenue Grid ranks fourth because its security claims are specific: SOC 2 Type II and ISO 27001, Azure storage in the United States, dedicated hosting as a paid option and a policy that bars outside AI providers from using personal information. Forecasting is the weakest point, as the pricing page does not use the word and ties Revenue IQ to the top package.
Strong on
- SOC 2 Type II and ISO 27001 are stated on the product page
- Privacy policy restricts third-party AI providers from using personal data
- Cloud, private and dedicated hosting options are described
Weak on
- Revenue IQ sits only in the RelationshipOS package
- No prices are shown, and forecasting is not described in detail
Skip it if: Buyers who want a pure forecast screen with submissions and roll-ups, rather than relationship signals. Four packages from Context Foundation to RelationshipOS. Pricing is by quote.
- 5
Kluster
Kluster ranks fifth because it joins forecasting, scenario analysis, FP&A models and board reporting in one suite, and states ISO 27001 and GDPR on its home page. The privacy policy names Azure and a London registered office. Pricing and AI method are not disclosed, and the policy lets anonymized CRM data improve its algorithms, which a buyer should accept knowingly.
Strong on
- Forecast, plan, monitor and API modules cover sales and finance together
- ISO 27001 and GDPR are named, with Azure as the hosting partner
- Scenario analysis lets finance test market conditions against the pipeline
Weak on
- No price or plan is public, only a demo request
- Anonymized CRM data may be used to improve its algorithms
Skip it if: Sales teams that only need a quarterly commit call and no finance modeling. Demo request only. No plan or price is published on the pages read.
- 6
Gong
Gong lands sixth because its forecast product is described clearly, with Forecast Essentials for deal tools and Forecast for submissions, analytics and AI predictors, yet price and security specifics are missing from the page. The vendor claims 300-plus signals and 20 percent more precision than CRM-only models. That figure is unverified, and a Trust Center link replaces named certifications.
Strong on
- Two clear tiers separate deal tools from full forecast submission and analytics
- AI Deal Monitor flags single-threaded deals before they slip
- Win and loss insights sit beside the forecast in one workspace
Weak on
- Prices appear only through a quote request, not a public page
- No security certification is named on the forecast page itself
Skip it if: Teams without recorded sales calls, because the signals depend on conversation data. Two tiers, Forecast Essentials and Forecast, both sold by quote on a separate pricing page.
- 7
Terret
Terret, the product formerly called BoostUp, sits seventh. Terret Forecast produces machine-generated pipeline forecasts and weekly notes on headwinds and tailwinds for the CRO, and the 48-hour proof of concept is a low-risk way to test it. The privacy policy says customer data is not used for other customers or to improve products, but prices and certifications are not listed.
Strong on
- Weekly narratives explain what moved the forecast, in plain language
- Free proof of concept analyzes closed-lost deals and builds a playbook
- Privacy policy says customer data is not used to improve its products
Weak on
- No price, plan list or named certification appears on the pages read
- Policy also mentions analytics and learning data from call transcripts
Skip it if: Buyers who want a self-serve signup, printed prices or named certifications. No price shown. A free 48-hour proof of concept analyzes closed-lost deals.
- 8
Clari Forecast (Salesloft)
Clari Forecast ranks eighth because its Salesloft page describes the mechanics well, with quota, commit and best case fields, filters, risk lists and a forecast model trained on your own deal history. It loses ground on disclosure: no price, no named certification on the page, and no HQ stated, only a Trust Center link. A customer quote of 97 percent accuracy is the only figure.
Strong on
- Forecast AI is described as trained on your own historical deal data
- An AI Forecast Agent flags at-risk deals and proposes next steps
- Filters cover bookings, renewals, region, segment and account size
Weak on
- No pricing and no certification names on the product page
- Relationship between the Clari and Salesloft products is not explained there
Skip it if: Small teams that need a printed price or a quick self-serve start. Quote only. Clari's web address now redirects to Salesloft's site.
- 9
Aviso
Aviso is ninth because the home page leans on large claims with little to check: nearly 100 percent accurate forecasts, up to 20 hours saved per rep and 450-plus revenue teams. The suite is broad, from pipeline inspection to a mobile app. The privacy policy lists a Redwood City address but carries a 2018 update date and no AI data statement.
Strong on
- Forecasting, pipeline inspection and a mobile command center in one suite
- Time-series database and agent studio are named as foundations
- Customer count of 450-plus revenue teams is stated
Weak on
- Accuracy claim has no method and no certifications are listed
- Privacy policy shows a 2018 date and says nothing on AI training
Skip it if: Buyers who need documented security posture or published prices before a first call. No price on the home page. A pricing page is linked but showed no figures.
- 10
Xactly closes the ranking because the product page offers a quote form and no price, no named security certification and an unclear address (a Silicon Valley headquarters listing beside a Nevada footer address). Its angle is distinct: forecasts fold in compensation data, backed by 21 years of pay data, plus an MCP connector. That suits one narrow buyer well.
Strong on
- Folds compensation data into the forecast, which few rivals state
- Intelligence Connect (MCP) brings Xactly data into other AI tools
- Gartner Magic Quadrant Leader placement for sales performance management
Weak on
- No price and no certification is named on the home page
- Two different US addresses appear on the privacy page
Skip it if: Teams that do not manage commission plans and only want a pipeline forecast. Request a Quote only. No plan or price is printed on the pages read.
How these AI sales forecasting software were judged
How accurate is AI sales forecasting software?
Accuracy is the claim buyers can least verify, because every number comes from the seller. Ebsta guarantees a forecast within plus or minus 10 percent of the figure inside six months. Aviso's page says its forecasts are nearly 100 percent accurate, and Salesloft quotes one customer at 97 percent. Gong says its 300-plus signals predict deal outcomes with 20 percent more precision than CRM-only algorithms. None of these figures show a method. Ask each vendor to back-test last year's closed quarters on your own data, and compare its call with the number your managers committed at week four.
What does a sales forecasting tool cost per seat?
Only the CRM vendors print numbers. As of November 2026, HubSpot lists Sales Hub Professional from $90 per seat per month and Enterprise from $150, with one-time onboarding of $1,500 and $3,500. Salesforce lists Pro Suite at $100 per user per month, Core at $195, Advanced at $395 and Max at $550, all billed annually, with Agentforce for Sales as an add-on from $125. Gong, Ebsta, Revenue Grid, Kluster, Terret, Aviso, Xactly and Clari Forecast showed no figures on the pages we read, so budget for a negotiated annual contract.
Where does forecasting software store deal and email data?
These tools read pipeline, email and call content, so storage and reuse matter. Revenue Grid's privacy policy names Microsoft Azure in the United States and says third-party AI providers may not use personal information for their own purposes. Kluster's policy names Azure too and allows anonymized CRM data to improve its algorithms. Terret says it does not use customer data for other customers or to improve its products. Ebsta states ISO 27001 and processes data on AWS. Aviso's published policy carries a 2018 update date. For the rest, the vendor's policy was not checked for AI training.
How hard is it to switch forecasting software?
Switching costs sit in history and process, not in the CRM records. Forecast snapshots, submission histories and accuracy trends live in the forecasting tool, and managers get used to a weekly call format that is rebuilt elsewhere. Ebsta needs Salesforce Enterprise with Bulk API for full access, which ties it to that CRM tier. Forecast features in HubSpot start at Professional, so moving down a tier removes them. Ask whether snapshots can be exported before signing, and whether the contract renews automatically at a higher rate.
Which forecasting tool fits your CRM and team size?
Start with the CRM, then the team. A small team on HubSpot gets forecasting inside Professional without another vendor. A team on Salesforce can use native forecasting before adding a layer such as Clari Forecast or Gong. Ebsta works with Salesforce and HubSpot, and Revenue Grid positions Kora AI for relationship context. Finance-led buyers who need sales and FP&A models together look at Kluster, and companies that pay commissions on forecast attainment look at Xactly. Enterprise RevOps groups that want agents and narratives look at Terret or Aviso.
How to choose an AI sales forecasting platform in three steps
- Test the forecast against last year's closed quarters. Give each shortlisted vendor four past quarters of closed deals with their stage history, and ask for the predicted number as of week four of each quarter. Compare it with the commit your managers submitted at that time and with the final result, quarter by quarter. A model that only matches what managers already said adds a screen, not insight. Vendor claims such as a 10 percent guarantee or a 97 percent customer case cannot be compared, so your own history is the fair test for every product on the list.
- Confirm the CRM edition before you price anything. Forecasting often depends on the CRM tier underneath it. HubSpot lists forecasting under Professional and Enterprise, Salesforce spreads forecasting across editions, and Ebsta needs Salesforce Enterprise or higher for full access. Write down which edition you run today, which edition each vendor requires and what the upgrade costs per seat. Then add onboarding fees such as HubSpot's $1,500 and $3,500, because the real first-year price is often higher than the per-seat figure suggests, and ask each vendor to put it in writing.
- Decide who submits and who reviews the forecast. A forecasting tool replaces a spreadsheet only if the weekly routine fits it. List who submits a number, who adjusts it and who signs off, then ask each vendor to show roll-ups by team, history of changes and permission rules. Salesloft describes manager updates for reps, and HubSpot describes permissions on who may submit. Check that an AI call number appears next to the human one, so the gap is visible and can be discussed in the forecast meeting, and so nobody has to rebuild it in a spreadsheet.
Frequently asked questions
What is the best AI sales forecasting software in 2026?
HubSpot ranks first because Sales Hub prints seat prices, onboarding fees and the tiers that include forecasting. Salesforce is the stronger choice for teams on its CRM, and Ebsta suits Salesforce or HubSpot teams that want a trial and a stated accuracy guarantee. The best fit depends on your CRM edition first.
How accurate is AI sales forecasting?
Vendors publish figures from 97 percent to nearly 100 percent, and Ebsta guarantees plus or minus 10 percent within six months, but none of these include a method or an independent test. Accuracy also depends on CRM hygiene, since HubSpot states it relies on clean data and consistent deal stages. Back-test any tool on your own closed quarters.
Do I need a separate tool if my CRM already has forecasting?
Not always. HubSpot Professional and Salesforce editions include forecast categories and roll-ups. A separate layer such as Clari Forecast, Gong or Ebsta helps when CRM fields are incomplete, because it adds captured email and call signals. If reps update deals reliably, the native forecast is usually enough for a team of a few dozen sellers.
How much does sales forecasting software cost?
As of November 2026, HubSpot lists Sales Hub Professional from $90 per seat per month and Enterprise from $150, and Salesforce lists editions from $100 to $550 per user per month billed annually. Most dedicated tools, including Gong, Ebsta, Kluster, Terret, Aviso and Xactly, sell by quote, so compare annual totals.
Which forecasting tools work with HubSpot?
HubSpot has native forecasting in Sales Hub Professional and Enterprise. Ebsta lists support for HubSpot plans from Free to Enterprise across its Sales, Marketing and Service Hubs. Other tools in this ranking mainly name Salesforce, so confirm the HubSpot connector, its sync frequency and which fields it reads before you commit.
Can AI forecasting software use my emails and calls?
Several tools read email, calendar and call content. Ebsta and Revenue Grid capture activity from Gmail and Outlook, Gong analyzes calls, and Terret turns conversations into insights. Check which mailboxes are connected, who can see captured messages and what the privacy policy says about AI training before rollout, and tell your sellers what is collected.
Is forecasting software worth it for a small sales team?
Usually only when the quarter-end number is wrong often enough to hurt planning. A team of under ten sellers can run a CRM-native forecast and a weekly review for the cost of seats it already pays for. Dedicated tools make sense when managers spend hours rebuilding the number in spreadsheets each week.
What should I ask a forecasting vendor about AI agents?
Ask what an agent can change without approval, what it reads and where its log lives. Salesloft describes an AI Forecast Agent that flags at-risk deals and suggests next steps, and Xactly describes agents that keep humans in control. Request a demo of the permission settings, not only the summary output.