Start with the question that decides everything else: what are you actually forecasting? Revenue from a sales pipeline, next quarter's operating budget, or how many units to park in a warehouse? Those are three different products with three different buying committees, and if you shortlist from the wrong shelf you usually find out months later, halfway through an implementation you can't easily unwind.

So there's no single best AI forecasting tool. For sales-revenue forecasting, the names are Aviso, Gong, and Clari. For FP&A, meaning financial planning and analysis, the names are Datarails, Cube, Pigment, and Anaplan. Supply-chain demand belongs to RELEX Solutions, Kinaxis, and Blue Yonder. Want a model without hiring a modeling team? Pecan AI, DataRobot, and Julius AI cover no-code predictive machine learning. And Qlik Sense and Tableau bolt forecasting onto business intelligence you may already pay for.

Now the part nobody enjoys. What does a quote actually run? Nobody will say. Nineteen of these 22 publish no price at all. Julius lists plans from $20 a month up to $50 a month per seat, Prospero is free, and Clari's one public number sits on AWS Marketplace: $10,000 for 12 months, non-cancellable and non-refundable except where the law says otherwise.

Your budget conversation starts with a demo request and a discovery call almost every time. Keep that shape in mind as you read, because the contract will drive your evaluation more than any feature grid you build along the way. And the accuracy numbers quoted below come from vendors, their case studies, or single reviewers, so they belong in your demo questions rather than your business case.

Five markets wearing one name

Those questions land better once the list is grouped. Start with the shelf. A demand-planning suite and a sales-pipeline tool aren't rivals, and lining them up against each other will waste weeks of your time and half of your goodwill with the vendors.

Sales-revenue forecasting. Aviso, Gong, Clari. These read your customer relationship management (CRM) data and, in Gong's case, the calls around it, then predict which of your deals close and where your quarter lands.
FP&A and financial planning. Datarails, Cube, Pigment, Anaplan, Drivetrain, Planful, Workday Adaptive Planning. Your budgets, your headcount, your cash flow, your board deck.
Supply-chain demand. RELEX Solutions, Flowlity, ToolsGroup, Kinaxis, Blue Yonder, o9 Solutions. Units, inventory, service levels, and replenishment across your network.
No-code predictive machine learning. Pecan AI, DataRobot, Julius AI. Churn, lifetime value, demand. Anything you can frame as a prediction over your own rows.
Business intelligence with forecasting inside. Qlik Sense, Tableau. Worth a look if the dashboards are your real purchase and the forecast is a bonus.

Prospero AI sits outside all five of those markets. It forecasts stock movements for retail investors, and it's free. That makes it a different animal from everything else here, and unless you're the retail investor it was built for, it isn't in your race.

The quick picks

That leaves five races, and each one wants a name on your shortlist. Here's one apiece, with the reasoning in a line.

Sales revenue: Aviso. It documents SOC 2 Type II, ISO 27001, and PCI DSS Service Provider Level 1, and it names Honeywell, New Relic, Elastic, RingCentral, and Seagate as customers, which is the reference list your security review tends to ask for, with 40+ named connectors underneath it so your CRM and your warehouse are probably already covered.
FP&A: Datarails. 4.6 out of 5 from 281 reviews on G2 and 4.7 from 233 on Capterra, and it leaves your team inside Excel instead of asking them to abandon it.
Supply-chain demand: RELEX Solutions. It reports 700+ customers and roughly 2,500 staff, took a $200 million investment from TCV, and documents ISO 27001, SOC 2 Type II, and EU AI Act coverage. Scale you can point a security review at.
No-code machine learning: Pecan AI. 4.7 out of 5 across 39 G2 reviews, and reviewers keep saying the same thing: your business team ships predictions without a data scientist on staff. Swap in DataRobot if you already employ them.
Business intelligence with forecasting inside: Qlik Sense. For regulated shops, the certification list does the arguing: SOC 2 Type 2 with HITRUST, FedRAMP Moderate, and DoD IL2 and IL4.

Before you book a demo

So you have a name per market. The demo request still isn't your next move, though. The prep is, and the prep is yours. Settle five things first, in writing.

Name your domain out loud. "Sales pipeline," "operating plan," or "units and inventory." If two people on your team answer differently, fix that before the calls start.
Check your history. Planful's Predict Projections wants a minimum of 36 months of historical actuals and recommends 48. Predict Signals wants at least three years. Pigment's Prophet model expects two or more years of seasonal history, with AutoETS available for shorter datasets. Thin data narrows your list fast.
List your must-have connections. Which ERP (enterprise resource planning), which CRM, which warehouse. Drivetrain claims 800+ pre-built integrations and Datarails claims 200+. The only count that matters is whether your systems are on the list.
Set the compliance bar before the demo, not after. Does your security review require SOC 2 and ISO 27001 plus a written promise that your data never trains an external model? Say so in the first call. Datarails documents both certifications and states data stays in your own instance, never used to train external AI models.
Decide what contract shape you can sign. Annual, non-cancellable, quote-only. If procurement can't live with that, you've narrowed the field before you see a single slide.

Rule of thumb: if a vendor won't run a proof of concept on your own historical data, treat the marketing number as marketing.

All 22 side by side

The public record, on the other hand, you can check before anyone picks up the phone. So here it is in one sheet. All 22 in rank order, eight columns each, and the compliance column is the one your security review will read first.

Tool	Forecasts	Pricing	Free tier	Compliance	User rating	Integrations	Named customers
1. Aviso	Sales revenue	Custom quote	No	SOC 2 Type II, ISO 27001, PCI DSS Level 1	4.2/5 Capterra (30)	40+ named	Honeywell, New Relic, Seagate
2. Datarails	FP&A	Custom quote, 3 tiers	No	SOC 2 Type II, ISO 27001, GDPR	4.6/5 G2 (281), 4.7/5 Capterra (233)	200+	Not published
3. RELEX Solutions	Supply-chain demand	Custom quote	No	ISO 27001, SOC 2 Type II, GDPR, EU AI Act	4.6/5 G2 (about 20)	SAP connector, REST API	The Home Depot, Circle K, PetSmart
4. Pecan AI	Predictive ML	Contact sales, 4 tiers	No	ISO 27001, SOC 2 Type II, GDPR	4.7/5 G2 (39)	15+	Little Spoon, Kenvue, Redis
5. Cube	FP&A	Custom quote, 3 tiers	No	SOC 2 Type 2, HIPAA	4.6/5 Capterra (79)	Excel, Google Sheets, Slack, Teams, MCP	YMCA, Crunchbase, Docebo
6. Pigment	FP&A	Custom quote	No	SOC 2 Type 2, ISO 27001, GDPR, CCPA, SOX	4.6/5 G2, 4.7/5 Gartner (vendor-cited)	SAP, NetSuite, Databricks, BigQuery, MCP	Unilever, Siemens, Figma
7. Gong	Sales revenue	Per user plus platform fee, quoted	No	SOC 2 Type II, ISO 27001/27017/27018/27701, ISO 42001	4.8/5 Capterra (561)	Salesforce, MCP support	ADP, HubSpot, LinkedIn
8. Anaplan	FP&A, sales, supply chain, workforce	Custom quote	No	SOC 1/2 Type 2, ISO 27001/27017/27018/27701, CSA STAR	461 reviews on G2	APIs, MuleSoft, Boomi, Power BI	48% of the Fortune 50, per Anaplan
9. DataRobot	Predictive ML	Custom quote	14-day trial	ISO 27001, SOC 2 Type II, HIPAA, GDPR	4.3/5 G2 (38), 4.8/5 Capterra (5)	Not published	Not published
10. Drivetrain	FP&A	Custom quote	No	SOC 1 Type II, SOC 2 Type II, ISO 27001, GDPR	4.8/5 G2 (113), 4.8/5 Capterra (20)	800+	Not published
11. Planful	FP&A	Custom quote	No	SOC 1/2/3, ISO 27001:2022, ISO 27701:2019, HIPAA BAA	4.3/5 Capterra (76)	SAP, Oracle, NetSuite, Salesforce, Workday, Snowflake	Boston Red Sox, Del Monte, 23andMe
12. Workday Adaptive Planning	FP&A, workforce, operations	Pricing varies, quoted	30-day trial	-	4.5/5 Capterra (232)	Any ERP or general ledger, per Workday	KeyBank, AWS, Southwest Airlines
13. Qlik Sense	BI with forecasting	Capacity-based quote	No	SOC 2 Type 2, HITRUST, FedRAMP Moderate, ISO 27001/27017	4.5/5 Capterra (261)	SAP and mainframe at higher tiers	Not published
14. Flowlity	Supply-chain demand	Custom quote	No	No public certification page	4.9/5 G2 (9)	SAP, Odoo, Dynamics, Sage, REST, SFTP	Danone, Saint-Gobain, La Redoute
15. ToolsGroup	Supply-chain demand	Custom quote	No	-	13 reviews on Capterra	SAP, Oracle, Dynamics 365	Harley-Davidson, Toyota, Trane
16. Kinaxis	Supply-chain demand	Custom quote	No	-	4.5/5 Capterra (26)	POS, promotions, weather, open-order signals	Lockheed Martin, Unilever, ExxonMobil
17. Julius AI	Predictive ML	Free, then $20/mo up to $50/mo per seat	Yes	SOC 2 Type II, per Julius	4 reviews on G2, 13 on Trustpilot	12+	Harvard Business School
18. Blue Yonder	Supply-chain demand	Custom quote	No	-	4.1/5 G2 (129)	ERP, IoT, WMS via API and EDI	Not published
19. Clari	Sales revenue	$10,000 / 12 months on AWS Marketplace	No	No certifications documented	4.5/5 Capterra (19)	Salesforce	Not published
20. o9 Solutions	Supply-chain demand	Custom quote	No	-	4.2/5 G2 (20)	ERP links	Not published
21. Prospero AI	Stock signals	Free	Yes	No public certification page	4.4/5 App Store (57)	None documented	Not published
22. Tableau	BI with forecasting	-	No	-	4.6/5 Capterra (2,356)	-	-

The top six

Run your eye down that compliance column and the ranking starts explaining itself. Nine rows list no certifications at all, and not one of them sits in the first six. Those six cover four markets: sales revenue, FP&A, supply chain, and no-code prediction. Read the one that matches your problem, and skip the rest without guilt.

1. Aviso, revenue forecasting for CRM-heavy sales organizations

If you run revenue operations (RevOps) and already live in Salesforce, and you want the forecast to stop being a spreadsheet argument every Monday, Aviso is built for you. The forecasting product is specific about its parts, which helps when you have to explain the number to someone else.

You get Winscore explanations, Opportunity Maps, a Predicted Closing Window, and a Win Prediction Agent. Forecast rolls move up through reps and teams, consumption translates into annual recurring revenue (ARR), and forecasting works on mobile. MIKI, the generative-AI assistant, handles your CRM updates, meeting notes, and next-best-action nudges, and Aviso says it has generated 500+ billion insights across $1+ trillion in analyzed pipeline.

Aviso claims nearly 100% forecasting accuracy, with a New Relic case study citing 98% for consumption forecasting, and its product page puts customers past their first year at a 36% improvement in net new revenue closed per rep. Reviewers back the general shape of that claim:

Uncanny accuracy in predicting revenue.

They also describe the platform as VERY slow at times. Sync lag undercuts the real-time promise, and dashboard customization doesn't always save. A few reviewers report bad data surfacing during live forecast calls, which is precisely when you least want it. Budget for training too, because Capterra reviewers call it hard to navigate at first, and your reps will feel that in week one.

Strong: named, documented forecasting features, 40+ connectors, and SOC 2 Type II, ISO 27001, and PCI DSS Level 1, with a Rapid7 penetration test that Aviso says found no major vulnerabilities.
Weak: no published pricing, the performance complaints above, and a real onboarding curve you'll need to staff and schedule before your reps get much out of it.

2. Datarails, FP&A that leaves your team inside Excel

Ask your finance team to abandon Excel and watch adoption die. So does the AI have to arrive with a new interface? Not here. Datarails takes the opposite bet: keep your spreadsheets, and automate the consolidation behind them. The suite covers planning, budgeting and forecasting, real-time dashboards, and cash management with scenario analysis. Month-end close and spend control sit alongside, with an embedded assistant called FP&A Genius.

Independent reviewers have plenty to say. G2 puts it at 4.6 out of 5 across 281 reviews, Capterra at 4.7 across 233, and support scores 9.5 on G2.

Users say multi-day consolidation work collapses into minutes. They also say onboarding was undersold on the complexity, with data mapping and configuration eating more of your calendar than the sales cycle suggested they would. The Excel add-in gets sluggish on large models, and dashboards trail dedicated BI tools.

Three tiers, all quoted.

FP&A Professional: 2 users, 1 integration. Quoted.
FP&A Premium, the most popular: 5 users, 2 integrations. Quoted.
FP&A Expert: 15 users, 3 integrations, plus one additional product: Month-End Close, Cash Management, or Spend Control. Quoted.

The vendor side looks healthy. A $70M Series C led by One Peak closed around January 2026, bringing total funding to $175M. The same announcement reports 70% year-over-year revenue growth in 2025 and a workforce nearly doubled to 400+.

Strong: your team keeps the spreadsheets it already trusts, 200+ integrations, and SOC 2 Type II, ISO 27001, and GDPR, with data kept in your own instance and never used to train external AI models.
Weak: no published price and no free tier on any of the three tiers, an onboarding curve that reviewers say was undersold, and dashboards that lag a real BI tool.

3. RELEX Solutions, retail and supply-chain planning at scale

If you run a large retail network, RELEX is what you buy when demand, inventory, pricing, promotions, merchandising, and space planning all need to agree with each other. Machine-learning demand sensing sits at the center. On top of it, RELEX lists 10 named AI agents ready for customer adoption across Forecasting and Replenishment and Pricing and Promotion. One of them, the Product Attribute Agent, produces day-one forecasts for brand-new products. Another handles troubleshooting.

Scale is what you're paying for here. RELEX dates to 2005, took a $200 million investment from TCV, and puts its headcount at roughly 2,500. It reports 700+ customers, including The Home Depot, Circle K, Carhartt, Dollar Tree, Family Dollar, and PetSmart.

Compliance is documented: ISO 27001, SOC 2 Type II, GDPR, and EU AI Act coverage for its AI products. RELEX also states round-the-clock security operations center monitoring with a 20-minute average response time. If your team runs SAP, you get a plug-and-play S/4HANA and ECC connector, plus general ERP, REST API, and file options under a configure-don't-code philosophy.

So what should worry you? The thinness of the independent record. G2 shows about 20 reviews at 4.6 out of 5, a small base for a vendor this size. Reviewers there flag manual data-import tooling, gaps in role-based access, and reporting depth, so put those three in front of your demo team and ask for a live walkthrough. The forecast-accuracy story rests on RELEX's own material.

Strong: one platform where demand, inventory, pricing, and space planning agree, a plug-and-play SAP connector, and ISO 27001, SOC 2 Type II, GDPR, and EU AI Act coverage behind 700+ customers.
Weak: no published pricing, about 20 G2 reviews for a vendor of that size, and reviewer-flagged gaps in role-based access, reporting, and manual data import.

4. Pecan AI, predictions without a data-science hire

This is the beginner's pick, and it earns it. Pecan's Predictive AI Agent walks the whole pipeline for you: data prep, feature engineering, model building, validation, deployment. Point it at churn, lifetime value, demand, fraud, lead scoring, or campaign optimization, and the work you'd normally hand to a data scientist happens inside the product.

G2 reviewers rate it 4.7 out of 5 across 39 reviews and keep returning to two themes. Quick setup, and an interface your business team can actually drive.

Pecan cites a 12% average reduction in customer churn and a 15% improvement in marketing return on ad spend. It also cites a 25% reduction in inventory costs from customer deployments. Named customers include Little Spoon, Kenvue, Redis, Nanit, TJC, and Clearwave Fiber. Is the security posture enough for a regulated buyer? Judge it yourself: Pecan states ISO 27001 certification, SOC 2 Type II audit, and GDPR compliance. You can connect Snowflake, BigQuery, Redshift, Databricks, Salesforce, and HubSpot, among 15+ options.

Now the friction. There's no free tier and no trial, and all four tiers route to sales.

Starter: 2 prediction batches a month, 500M rows of storage. Contact sales.
Team: 10 prediction batches a month, 2Bn rows. Contact sales.
Business: custom prediction batches a month, 5Bn rows. Contact sales.
Enterprise: custom deployment, advanced monitoring and dashboards. Contact sales.

Two batches a month is tight while you're still exploring use cases. Reviewers add that interpreting the predictions still takes human effort, that bugs surface occasionally, and that the agent's data manipulation isn't obviously easier than writing the SQL yourself.

Strong: a no-code agent that covers prep through deployment, 15+ connectors into the warehouses you already run, and ISO 27001, SOC 2 Type II, and GDPR behind it.
Weak: no trial and no free tier, 39 reviews to judge it on, and a Starter tier whose two batches a month will squeeze you during exploration.

5. Cube, spreadsheet-native planning with an AI bridge

Cube's hook is a two-way sync with Excel and Google Sheets. The model your team already trusts stays where it is, and structure plus audit trails get added around it. AI-Powered Smart Forecasting turns history into driver-based projections and unlimited what-if comparisons.

The wider platform covers three-statement modeling, headcount planning, variance analysis, cash flow reporting, and consolidation, so your close and your plan sit in one place. An MCP server (Model Context Protocol) exposes governed financial data to Claude, ChatGPT, and Copilot. Ask what it exposes, and to whom, before you switch it on.

Capterra puts it at 4.6 out of 5 from 79 reviews, with 97% positive sentiment, and reviewers credit the Excel-like base for fast implementation. The complaints are concrete, so test them in your demo. Data imports can only be scheduled once a day. Headcount planning feels immature for larger organizations. Dashboards trail Power BI or Tableau.

Cube lists SOC 2 Type 2 and HIPAA, and its named customers include YMCA, Minnesota Wild, Crunchbase, Docebo, and Vestwell. Your three tier options are Bronze, Silver (the most popular), and Gold, and every one of them is quoted rather than listed.

Strong: two-way Excel and Google Sheets sync, an MCP server that hands governed numbers to Claude, ChatGPT, and Copilot, plus SOC 2 Type 2 and HIPAA.
Weak: quoted pricing on all three tiers with no trial, once-a-day import scheduling, and headcount planning that reviewers call immature for a larger organization.

6. Pigment, the flexible answer to legacy planning suites

You'd look hard at Pigment if you've found older enterprise planning software rigid. Its Predictions feature names the models it runs. Prophet handles datasets with two or more years of seasonal history. AutoETS handles shorter ones. Seasonal Differencing weights recent behavior more heavily. On top sit three AI agents, Modeler, Analyst, and Planner, plus real-time scenario simulation and natural-language model building.

Reviewers praise that flexibility against legacy tools, credit the onboarding partnership, and report that close and reforecast cycles speed up once your models are in and running. Two gripes recur: cost relative to alternatives, and the learning curve on advanced modeling.

Security is thorough. You get SOC 2 Type 2 and ISO 27001, GDPR, CCPA and SOX coverage, AES-256 at rest, and TLS 1.2 or higher in transit. Add SAML single sign-on with multi-factor authentication, data residency in Europe or the United States, and a published bug bounty.

The company raised a $145M Series D in 2025 toward roughly a $1B valuation, and per its funding announcement, annual recurring revenue tripled and the customer base doubled. Figma, Carta, Danone, Supercell, Siemens, Unilever, and Anthropic appear on its customer list. Pricing is a conversation, not a page.

Strong: named forecasting models you can interrogate, three AI agents around them, and a security page that runs from SOC 2 Type 2 and ISO 27001 through SOX coverage to a public bug bounty.
Weak: nothing published on price, reviewers calling it costly next to alternatives, and a learning curve on the advanced modeling that gives it the edge in the first place.

Ranks 7 through 12

Pigment's trade, more power for more onboarding, sets the tone for what comes next. Past the top six the shape changes too: one sales-revenue platform, one machine-learning platform, and four planning platforms. This is the band where enterprise scale and enterprise onboarding both show up.

7. Gong, forecasting from conversations rather than CRM fields

Here's the pitch in one line. Your reps' CRM entries are optimistic, and their calls aren't. Gong says the AI Revenue Predictor inside Gong Forecast analyzes 300+ interaction signals and claims 20% more precision than algorithms based on CRM data alone. Upwork's RevOps Director reports forecast accuracy has grown to 95% with it. Around that sit Configurable Forecast Boards, Deal Boards, Account Boards, Win/Loss Insights, and Deal Drivers, plus target management and named AI Deal Reviewer and Deal Monitor tools.

Reviewers turn out in numbers here. 4.8 out of 5 from 561 Capterra reviews. Gong reports 5,000+ customers including ADP, HubSpot, LinkedIn, and Uber for Business. The compliance list runs long as well. SOC 2 Type II, ISO 27001, 27017, 27018, and 27701, plus ISO 42001 for AI management systems. That last one is a useful card to hand your security reviewer.

What do reviewers complain about? Search that fails to surface the right call. Transcription that needs correcting. AI summaries and follow-ups they call hit-or-miss, and occasional recording delays or outages. Pricing is per user plus a platform fee, bracketed by team size from 1-50 up to 10,000+, with no figures published.

8. Anaplan, connected planning for very large organizations

Gong listens to the deal. Anaplan models the whole company, and its forecasting engine is PlanIQ. It uses named algorithms including DeepAR+ and Prophet, selecting from over thirty available on the platform, wrapped in a no-code wizard. Around it, Anaplan Intelligence adds predictive, generative, and agentic capabilities, with role-based agents for your Finance, Sales, Supply Chain, and Workforce teams. CoModeler helps you build the models themselves.

Scale is the argument. Anaplan reports 2,600+ enterprise customers, including 48% of the Fortune 50, and Thoma Bravo completed a $10.4 billion all-cash acquisition in 2022.

The trust posture is thorough: SOC 1 Type 2, SOC 2 Type 2, and ISO 27001, 27017, 27018, and 27701. Add CSA STAR Level 1, Cyber Essentials, and Data Privacy Framework certifications, audited every six months for SOC and annually for ISO. Integration runs through Integration API v2.0, CloudWorks, an application lifecycle management API, and native MuleSoft, Boomi, and Power BI connectors.

So is that flexibility worth the build? Depends entirely on who's doing the building. Across 461 G2 reviews the pattern holds steady. Reviewers love the modeling depth you get once your models are shaped the way your business actually works. They also report a steep learning curve and high cost for smaller use cases, and note that large, sparse models and highly transactional data strain both performance and budget.

Signs you fit: you're planning across finance, sales, supply chain, and workforce at once, and you either have in-house model builders or you're willing to grow them.
Signs you don't: one narrow use case, sparse transactional data, or a budget that flinches at enterprise pricing before the first model is live.

9. DataRobot, the pick for teams with data scientists

If you do have those builders, the next name is aimed straight at them. DataRobot is built for enterprise data-science teams, and its time series documentation shows why. Multi-series segmentation handles jobs at real scale. One example: 5,500 locations on a seven-day rolling forecast, producing more than 5 million predictions.

Known-in-advance variables let you tell the model about the promotion you already scheduled, so your forecast accounts for the future you control instead of only the past you recorded. Add calendar and holiday seasonality handling, a configurable forecast window, feature-impact explainability, and accuracy tracking in production. Models span ARIMA-family, XGBoost, and deep learning.

Deployment bends to your environment: on-premise, virtual private cloud, or SaaS. NVIDIA, Dell, Nebius, and SAP are named co-engineering partners.

Trust is solid. ISO 27001 certification, an annual SOC 2 Type II assessment, and HIPAA-compliant single-tenant SaaS on AWS, Azure, and GCP. GDPR, CCPA, CPRA, and EU AI Act adherence are documented too. Gartner named it a Magic Quadrant Leader for the third time in 2026. Customers cited on its site report $60M, $70M, and $200M in returns, including a top-five global bank with $70M across 40+ use cases.

Reviewers rate it 4.3 out of 5 on G2 across 38 reviews and 4.8 on Capterra. That small Capterra sample gives ease of use a perfect 5.0 and calls the interface well thought out for beginners. The counterweights are real. Cost is a barrier for smaller companies. Reviewers report AutoML capability being time-boxed at 30 days. The platform page names partners without publishing a connector catalog. A 14-day trial is the only free door in.

10. Drivetrain, the integration-heavy FP&A platform

Back to FP&A, and back to a closed door. Drivetrain forecasts revenue, cash flow, and headcount through eight named agents: Scenario, Modeling, Formula, Reporting, Data Transformation, Data Classification, BvA Agent, and Plan Mode. Its Drive AI feature exposes live financial data to Claude and ChatGPT through an MCP server. Drivetrain puts the headline number at 800+ pre-built integrations. That list covers NetSuite, QuickBooks, Xero, SAP, Salesforce, ADP, Justworks, Snowflake, BigQuery, Azure, AWS S3, Tableau, Looker, and Power BI.

Satisfaction is high and consistent: 4.8 out of 5 on both G2 (113 reviews) and Capterra (20). Reviewers describe white-glove onboarding, and Drivetrain says implementation is CPA-led with real-time Slack and Teams support. You can also self-build or co-build if you'd rather drive.

The same reviewers report a real learning curve on data mapping and metric linking, plus gaps in dashboard and report layout. Complex calculations load slowly, and integrations break occasionally, so test both against your own data volumes during the evaluation rather than after the contract. Drivetrain lists SOC 1 Type II, SOC 2 Type II, ISO 27001, and GDPR. Pricing is a tailored proposal with no self-serve trial.

11. Planful, AI forecasting for teams with years of clean actuals

Tip: check your history before you check the feature list. Predict Projections needs a minimum of 36 months of historical actuals, and Planful recommends 48. Predict Signals needs at least three years to learn what normal looks like. If your general ledger was migrated 18 months ago and the older data is messy, the AI features you're paying for have nothing to chew on. That's a gate, not a footnote.

Clear it, and here's what you get. Planful splits its AI into two named parts. Predict Signals watches your data for anomalies and tags variances as High, Medium, or Low risk. Predict Projections builds forecast baselines through an ALGO mode that picks or auto-selects among multiple models.

The rest is a mature FP&A platform. Budgeting, reporting, sales planning, contribution-margin and program-cost modeling. Native connectors reach SAP, Oracle, NetSuite, Salesforce, Workday, and Snowflake, with REST APIs behind them.

Planful states more than 1,000 customers, including the Boston Red Sox, Del Monte, TGI Friday's, and 23andMe, backed by a Vector Capital-led equity round.

Its trust center lists SOC 1 Type 2, SOC 2 Type 2, SOC 3, ISO 27001:2022, ISO 27701:2019, a TRUSTe seal, CCPA and GDPR compliance, and a HIPAA Business Associate Addendum. Across 76 Capterra reviews at 4.3 out of 5, users credit two to three days off the monthly close. They also flag a steep learning curve, data-pull delays during legacy migrations, and limited flexibility in allocation rules.

12. Workday Adaptive Planning, planning across finance, workforce, and operations

Does your forecast have to reconcile with headcount plans and the close? This is the shape of tool that does it. Four modules cover financial planning, workforce planning, operational planning, and close and consolidation. An embedded assistant called Sana from Workday sits inside, and paid tiers give you unlimited what-if scenarios.

HubSpot, cited on the overview page, completed forecast cycles in 15-20% less time than before. The same page counts more than 7,000 teams using it, including KeyBank, AWS, Southwest Airlines, ExxonMobil, Mondelez, and Comcast.

Plan for the calendar. Workday puts average deployment time at 4.5 months, so treat this as a budget-cycle commitment rather than a quarter-end project, and line up your internal resourcing before you sign.

Capterra reviewers give it 4.5 out of 5 across 232 reviews, with ease of use at 4.2 and customer service at 4.4. Their criticism is blunt. A clunky, dated interface. A learning curve that pushes teams toward certification training. Per-user pricing they call prohibitive for smaller companies. Workday markets connectivity with any ERP or general ledger, yet some reviewers report friction wiring it to internal tools.

Free Trial: 30 days of full-platform access with guided walkthroughs. Free.
Workday Adaptive Planning: unlimited versions and what-if scenarios, connects with any ERP or general ledger. Pricing varies.
Workday Adaptive Planning Close & Consolidation: adds financial close and consolidation on top of planning. Pricing varies.

Standard inclusions across the paid tiers are single sign-on, an unlimited audit trail, separate production and non-production instances, and 24/7 support.

Ranks 13 through 17

Unlimited audit trails, and a price you have to ask for. Twelve entries in, that's been the pattern, and this band is where it finally cracks. A BI platform, three supply-chain specialists, and the only tool in this band with a price you can read without booking a call.

13. Qlik Sense, forecasting inside the analytics you already run

Take the BI platform first. Qlik's forecasting comes in two flavors. Inside a line chart you get OLS, ordinary least squares, which needs a minimum of two datapoints. You also get SSA, singular spectrum analysis, which needs six and separates noise, seasonality, and trend. Qlik recommends a maximum of about 5,000 datapoints. The feature is unavailable in drilldown or multi-dimension charts, and offline on mobile. Read that as capable extrapolation, not a forecasting engine.

The second flavor is Qlik Predict, a no-code AutoML layer. It produces multivariate time-series forecasts with automatic seasonality detection, churn and value modeling, and confidence-interval visualization inside Qlik Sense apps. It lives on the Premium and Enterprise tiers, so the entry Starter plan won't get you there.

Where Qlik pulls ahead is regulated environments, and if that's your world the list runs long. It holds SOC 2 Type 2 with HITRUST, FedRAMP Moderate, DoD IL2 and IL4, GovRAMP/StateRAMP, CJIS, ITAR, and TX-RAMP. ISO 27001 and 27017 sit alongside compliance coverage across GDPR, CCPA, PIPEDA, LGPD, and PDPA. That is a public-sector checklist answered in one place.

Reviewers, 261 of them at 4.5 out of 5 on Capterra, praise the associative in-memory engine on datasets past 100 million rows. They criticize entry-level cost, the learning curve, and slowdowns on very large data. Support, they say, pushes them toward paid partners. Pricing is capacity-based, with tier names published and no figures.

14. Flowlity, probabilistic demand planning from a smaller vendor

Now the supply-chain three, smallest first. Flowlity forecasts in ranges. Instead of one number, its engine produces scenarios with confidence intervals, blending machine learning, ensemble, and deep-learning methods. That suits you if the real question is how much buffer to carry. The platform also handles supply planning with minimum order quantity, batch, and Incoterms constraints, plus a module for simulating pricing and promotions.

Integration is ERP-agnostic: REST APIs, SFTP with CSV or XML, and pre-built connectors for SAP through IDoc and table queries, Odoo, Microsoft Dynamics, and Sage, so your stack is probably covered.

Gartner named it a Cool Vendor in Supply Chain Planning in 2025, and Danone, La Redoute, Saint-Gobain, and Camif are named customers. G2 reviewers give it 4.9 out of 5 across 9 reviews, citing forecasting accuracy and escaping manual Excel planning. One wants to adjust calculation granularity without contacting support.

Size is the honest caveat. Flowlity was founded in 2019 on a EUR 1.7m seed round backed by 42CAP and Entrepreneur First, then raised a EUR 5m Series A led by Fortino Capital in February 2022. It reports 30+ customers across 30+ countries. That's a promising young vendor, not an incumbent, and nine reviews is thin ground to sign a multi-year commitment on.

15. ToolsGroup, probabilistic forecasting with the numbers to quote

A 5 to 15 point forecast accuracy improvement.

ToolsGroup publishes that figure on its Decion platform page, alongside up to 99% service levels across complex global networks, credited to probabilistic scenario intelligence. Capterra reviewers back the underlying engineering, praising the mathematical capability for multi-echelon inventory optimization across varied supply chains. Take the number into your proof of concept and see whether your own history reproduces it.

The platform spans probabilistic demand forecasting, multi-echelon inventory optimization, sales and operations planning, and replenishment. On top sit an Agentic Digital Twin with Signal Intelligence and a natural-language agent called Decy, with pricing and retail-planning modules alongside.

Integrations cover SAP, Oracle, and Microsoft Dynamics 365. That last one runs through a supply-chain digital twin on Microsoft Dataverse, available in Microsoft AppSource since April 21, 2022. ToolsGroup says Decion powers decisions at 400+ enterprises including Harley-Davidson, Aston Martin, Trane, Mitsubishi Electric, and Toyota.

Two cautions before you shortlist it. Reviewers consistently describe a non-intuitive interface and a steep learning curve that needs internal IT expertise, and both onboarding and report customization take work. Separately, four previously distinct products, SO99+, JustEnough, Evo, and Onera, were consolidated into the single Decion brand in 2026. Check that any documentation or reference you're handed matches what you'd actually buy.

16. Kinaxis, supply-chain orchestration for discrete manufacturing

Another rename, and this one you'll meet in the documentation too. Kinaxis Maestro, formerly RapidResponse, blends historical and seasonal data with live signals. Point-of-sale data, promotions, weather, search trends. Kinaxis says its out-of-the-box machine-learning models work with your existing data without a large data-science team, and forecast explainability is built in, so your planners can see why a number moved.

Maestro Agent Studio adds composable agentic AI on top. Gartner named Kinaxis a 2026 Magic Quadrant Leader for Supply Chain Planning Solutions, ranked highest on ability to execute for discrete industries.

The customer list reads like an aerospace and consumer-goods roll call: Lockheed Martin, Unilever, ExxonMobil, Geodis, Siemens Healthineers, Jabil, and Bosch. Capterra rates it 4.5 out of 5 from 26 reviews, with a 4.6 value-for-money sub-score.

Reviewers like the familiar Excel-like interface for getting started quickly. The same reviewers call that interface dated and basic. G2 reviewers call the tool not user-friendly, with a steep learning curve, and performance reportedly degrades on large, heavy workbooks. There's no free trial, and all pricing goes through sales. If you're the planning lead running discrete manufacturing, this is your shortlist candidate in the band.

17. Julius AI, natural-language analysis with a published price

Julius is the outlier in this group. The published price is only part of it. You connect data, then ask for a forecast in plain language. It produces models with confidence intervals and scenario comparisons. Connectors include Postgres, Snowflake, BigQuery, Supabase, MySQL, SQL Server, Databricks, Google Drive, OneDrive, Google Ads, Meta Ads, and SharePoint. Scheduled reports land in your email or your Slack, and a Learning Sub Agent adapts to your schema over time.

Pricing is public, which after sixteen quote-only entries is a small relief.

Free: basic analysis for individuals and small projects. $0.
Plus: 250 messages a month. $20/mo.
Pro: unlimited messages, 32GB RAM containers, three-hour inactivity timeout. $45/mo.
Team: longest input lengths, centralized billing. $50/mo per seat.

The company closed a $10M seed round led by Bessemer Venture Partners in July 2025, bringing total funding to roughly $14.5M. It reports passing 2 million users and 10 million visualizations, and Harvard Business School built it into a required MBA course. Julius states it is SOC 2 Type II compliant and that your data is never used to train models.

Then the reviews. G2's four reviewers call it extremely easy to use, with responsive support. Trustpilot's thirteen skew sharply the other way. They describe slow performance, trouble with attachments, errors requiring rework, and refund requests denied after accidental plan upgrades. One word from those reviews sums up the risk:

Garbage.

Should that disqualify it? For a quick trend read on a spreadsheet, no, and the free tier lets you judge for yourself. For a forecast that goes in front of your board, four reviews on G2 against thirteen mostly negative ones on Trustpilot is a thin thing to bet on.

Ranks 18 through 22

Julius at least lets you test it before you commit. So does a low rank mean don't buy? No. It means the fit is narrower or the public record is thinner, and you should know which before the call. Two enterprise supply-chain platforms. One sales-revenue platform with a contract price you can read on AWS Marketplace. A free retail-investor app, and the BI incumbent whose forecasting is classical, not ML.

18. Blue Yonder, demand planning inside a Panasonic-owned giant

Put this in your risk register before you look at anything else. Blue Yonder suffered a ransomware attack in November 2024 that disrupted customer operations, with normal service restored by December 2024. That isn't automatically disqualifying, and you may well decide the remediation story satisfies you. Get the detail in writing before your security team signs anything off.

The product itself is serious. Blue Yonder describes its Demand module as combining statistical methods, machine learning, and AI for demand sensing, with forecasts refreshing in near real time from point-of-sale and market data. Named capabilities include trend, seasonality, and anomaly detection, autonomous self-refining forecasts, and what-if scenario modeling.

An integration fabric pulls from ERP, connected devices in the internet of things (IoT), and warehouse management systems through APIs and EDI. That includes EDI 830 and 862 demand signals from original equipment manufacturers, which matters if your customers are OEMs.

The vendor is substantial. Founded in 1985 in Cleveland as JDA Software, headquartered in Scottsdale, with around 8,000 employees and $1.36 billion in 2024 revenue. Panasonic completed a $7.1 billion acquisition in September 2021 and owns it outright. G2 aggregates 129 reviews across the product line at 4.1 stars. Reviewers praise cross-module integration and configurable forecast parameters. They also report slow responses on large datasets, lengthy organization-specific customization, and support communication gaps.

19. Clari, the one enterprise contract you can actually see priced

Leave the warehouses for one entry. Clari runs revenue forecasting and pipeline inspection on Salesforce data. Its AWS Marketplace listing describes over 15 proprietary AI agents covering automated deal-activity capture across touchpoints, AI-driven deal inspection, and forecasting. Reviewers on Capterra rate it 4.5 out of 5 across 19 reviews. Their praise is about speed and fidelity: submitting a forecast in less than five minutes, and Salesforce sync that ends duplicate data entry. One reviewer put the accuracy this way:

Within 2% MoE.

MoE means margin of error. It comes from a single reviewer rather than a benchmark, so treat it as a lead to chase in your proof of concept, not a specification.

The number you can plan around is the contract. Clari's AWS Marketplace listing prices the Revenue Platform at $10,000 for 12 months, explicitly non-cancellable and non-refundable except where required by law. Does that shape give your procurement team pause? Raise it in week one.

Reviewers also note the tool is built for sales managers and leadership more than individual reps. Custom dashboard views are hard to set up and replicate. They miss integrations such as Dooly.ai, and they want automated alerts when the forecast moves, so check both against your own must-have list before the demo. On the vendor side, Clari raised a $225M Series F in January 2022 led by Blackstone Growth and Silver Lake, at a valuation above $2.6B.

20. o9 Solutions, integrated business planning on a knowledge graph

The warehouses again, and the price goes back behind the sales call. o9's Digital Brain platform puts demand forecasting inside a broader enterprise knowledge graph, which o9 says detects demand and supply risks in real time, evaluates what-if scenarios, and matches demand to supply. G2 reviewers, 20 of them at 4.2 out of 5 with 94% giving four or five stars, describe having everything in one place. They rate quality of support at 8.5.

They're equally clear about the cost of entry. Implementation is complex and resource-heavy. The learning curve is steep enough that reviewers recommend strong mentorship, and price is a barrier for some teams, so budget for the people on your side who'll run it.

Capterra confirms the vendor requires direct contact for pricing, with no free trial or free version. Funding isn't the worry: o9 raised $295M at a $2.7B valuation from KKR, General Atlantic, and Generation Investment Management, up from a $1B valuation in 2020.

Signs you fit: you're a large enterprise with a dedicated implementation budget and someone senior who can mentor the team through the first year.
Signs you don't: you want to be forecasting by next quarter, or the implementation cost has to hide inside a software line item.

21. Prospero AI, free stock signals for retail investors

Different reader, different tool. Prospero AI is a free mobile app for retail investors, and it claims 10,000+ AI and machine-learning models running over 100+ million data points to produce stock picks, dark-pool and options sentiment signals, social sentiment, screeners, and watchlists. App Store reviewers, 57 of them at 4.4 out of 5, confirm there's no paywall and praise the clear terminology and readable charts.

Its performance claims are self-reported and unaudited: 12.9x outperformance versus the S&P 500 as of July 2025. 57 ratings isn't much to go on, reviewers flag limited stock coverage and missing portfolio features, and no API or brokerage connection is documented. Free is a fair price for a second opinion. This isn't a business forecasting platform.

22. Tableau, one-click forecasting bolted to the dashboards your team already opens

The last entry is a business platform, so the caution is a different one. Be clear about what you're getting. Tableau's forecast feature is classical statistics, not machine learning. It automatically evaluates and selects the best of up to eight exponential-smoothing models, optimizing smoothing coefficients before assessing forecast quality. Its predictive modeling functions, MODEL_PERCENTILE and MODEL_QUANTILE, use linear regression. Nothing in its predictive-modeling documentation describes deep learning or modern ML forecasting.

The upside is how little friction you meet. Right-click, Show Forecast, and you need only a date dimension and a measure. The forecast lands inside the dashboard your stakeholders already open. The limits are documented and specific. Forecasting can't be applied to views with table calculations, disaggregated measures, percent-of-total calculations, grand totals or subtotals, or multidimensional data sources, so check your existing workbooks before you assume it covers them.

Sentiment comes from a deep Capterra pool: 2,356 verified reviews at 4.6 out of 5. Visualization quality draws 97% positive sentiment and the drag-and-drop interface 95%. Ease of use sits at 4.1 and customer service at 4.2.

The recurring negatives are cost and per-user licensing complexity at 66% negative sentiment, slowdowns on very large tables at 60%, and bugs and crashes at 70%. Buy it for the analytics your team already runs on. Take the forecasting as a useful extra.

Questions buyers keep asking

Do any AI forecasting tools offer a genuinely free plan?

Two do. Julius AI has a Free tier for basic analysis, with paid plans from $20/mo. Prospero AI is free with no credit card required, though it forecasts stocks for retail investors rather than business demand or revenue. Two others open a temporary door for you: DataRobot offers a 14-day trial, and Workday Adaptive Planning a 30-day one. Everything else here has no free version. Clari's Revenue Platform lists at $10,000 for 12 months on AWS Marketplace, which is an enterprise price you can read without a sales call.

Why do almost none of these tools publish their pricing?

Because the price depends on things a web page can't know. Seat count, modules, data volume, capacity. Gong states its model plainly, per user plus a platform fee bracketed by team size from 1-50 up to 10,000+, without publishing figures. Qlik Sense goes as far as naming four tiers, Starter, Standard, Premium, and Enterprise, on a capacity-based structure, then stops short of the numbers. Datarails, Pecan AI, and Cube do the same dance with tier names and limits, and quote the price only when you ask.

The practical consequence is yours to manage. You can't compare cost across a shortlist without running several sales cycles, so start them in parallel rather than one at a time, and build the wait into your evaluation calendar.

Are the forecast-accuracy claims independently verified?

The headline numbers come from the vendors, their case studies, or individual reviewers. Aviso's nearly 100% claim and the 98% New Relic figure are Aviso's own. So are Gong's 20% more precision and Upwork's 95%. ToolsGroup publishes its 5 to 15 point improvement on its own platform page, and Clari's within 2% MoE traces back to one Capterra reviewer.

Analyst recognitions assess vendors, not the forecast you'll get on your data, and that includes Kinaxis as a 2026 Gartner Magic Quadrant Leader, DataRobot's third Magic Quadrant Leader placement, and Flowlity's 2025 Cool Vendor nod. So make the proof of concept the test, on your own history and your own seasonality.

Which platforms hold SOC 2 and ISO 27001 certification?

Aviso, Datarails, RELEX Solutions, Pecan AI, Pigment, Gong, Anaplan, DataRobot, Drivetrain, and Planful all document both. Aviso adds PCI DSS Service Provider Level 1, and Gong adds ISO 42001 for AI management systems. Qlik Sense holds SOC 2 Type 2 with HITRUST alongside ISO 27001 and 27017, plus FedRAMP Moderate and DoD authorizations for public-sector work. Cube documents SOC 2 Type 2 and HIPAA. Julius AI states SOC 2 Type II compliance.

Eight of the business tools here leave the question to your first call: Flowlity, Workday Adaptive Planning, ToolsGroup, Kinaxis, Blue Yonder, Clari, o9 Solutions, and Tableau. Clari's own trust site publishes uptime and incident status but nothing on SOC 2, ISO, or GDPR. If your security review needs a certificate rather than a claim, ask for the report itself during the demo.

How much historical data do I need before these tools can forecast?

It varies more than you'd expect. Planful sets the highest published bar: 36 months minimum of clean actuals for Predict Projections, 48 recommended, and three years for Predict Signals.

Pigment's Prophet model expects two or more years of seasonal history, with AutoETS for shorter datasets and Seasonal Differencing when recency matters most. Qlik Sense is far more forgiving in-chart, needing two datapoints for OLS and six for SSA. Tableau needs a date and a measure. So match the tool to the data you have, not the data you wish you had.

What is the difference between sales-revenue and supply-chain demand forecasting?

They answer different questions with different inputs. Sales-revenue tools like Aviso, Gong, and Clari read CRM records and, in Gong's case, what Gong puts at 300+ interaction signals from calls. Then they predict which of your deals close and what your quarter looks like. If RevOps or sales leadership is your seat, that's your aisle.

Supply-chain tools like RELEX Solutions, Kinaxis, Flowlity, ToolsGroup, Blue Yonder, and o9 Solutions work off operational data instead. Kinaxis reads point-of-sale data, promotions, weather, and open orders; Blue Yonder reads point-of-sale and market signals. They predict units and drive replenishment, so if you sit in planning, that's the desk you're buying for. The math rhymes. The data, the integrations, and the people using it every day do not.

Where to start

So the aisle decides more than the algorithm does, which means the shortlist mostly writes itself. Two per market, straight off the ranks.

Sales revenue: Aviso and Gong.
FP&A: Datarails and Cube if your team is staying in spreadsheets. Pigment or Anaplan if you're replacing them.
Supply-chain demand: RELEX Solutions for retail, Kinaxis for discrete manufacturing.
No-code machine learning: Pecan AI, unless you already employ data scientists. Then DataRobot.
Business intelligence with forecasting inside: Qlik Sense if you're regulated, Tableau if you already own it.

So what settles it, once the demos are done and every vendor has told you their accuracy is excellent? The contract. Annual, quoted, and in Clari's documented case non-cancellable and non-refundable except where the law says otherwise. Put that shape in front of procurement while the calls are still being scheduled, because the price arrives last and the terms arrive with it.

Explore AI Forecasting Tools