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Anaplan Alternatives: The Best Option for Revenue Forecasting

Pete Furseth 9 min read
comparisonrevenue analyticsB2B SaaSsales forecastingconnected planning
Anaplan Alternatives: The Best Option for Revenue Forecasting
Home/ Blog/ Anaplan Alternatives: The Best Option for Revenue Forecasting

If you are researching Anaplan alternatives, the first question to settle is what job you are actually hiring for. That sounds obvious, but it is where most of these searches go sideways. Anaplan is a connected-planning platform that spans many functions. People often start looking for an alternative when the real need is much narrower than the platform they are comparing against.

So let me be honest about where ORM fits and where it does not. ORM is not a connected-planning platform, and this page is not going to pretend it is a like-for-like swap for everything Anaplan does. ORM is a focused partner that builds and operates a custom prescriptive revenue forecasting model for B2B SaaS companies. If the job you are trying to get done is a revenue forecast the board can trust, ORM is a strong alternative. If the job is enterprise planning across finance, supply chain, and workforce, the honest answer is that you are shopping in a different category, and I will point you there too.

I have spent twenty years in revenue analytics, and I respect what Anaplan has built. The goal here is to help you pick the right tool for your situation, not to talk you out of a platform that may genuinely be the right call.

How Anaplan Positions Itself

Anaplan describes itself, on its current site, as "the only AI-driven scenario planning and analysis platform that connects and activates data across your enterprise." The center of gravity is connected planning: breaking down silos so finance, sales and marketing, supply chain, and workforce plans all live on one modeling engine. The pitch is unification, real-time scenario modeling, and decision-making across functions that used to plan in isolation.

According to its site, Anaplan works with more than 2,600 customer brands, including names like L'Oreal, AB InBev, and Techtronic Industries. Gartner has recognized Anaplan as a multi-year Leader in its Financial Planning Software Magic Quadrant, which the company highlights as a nine-time placement as of 2025. That is a serious track record in enterprise planning, and it is not something I am going to wave away.

Sales forecasting is one application inside that larger platform. Anaplan offers a ready-built Sales Forecasting application and, per its site, frames the latest version around AI-driven forecasting and a role-based "Sales Analyst" agent. The forecast connects upward into enterprise revenue, demand, and workforce plans. That breadth is the whole point of Anaplan, and it is exactly the decision a buyer is making: one platform across many functions.

What Anaplan Does Well

I want to give Anaplan full credit, because the platform earns it.

A genuinely powerful modeling engine. Anaplan's calculation engine is built for multidimensional planning at scale. Per its site, the platform handles large, complex models with predictive, generative, and agentic AI layered on top. For organizations that need to model the business across many dimensions and functions at once, there is very little that competes with it. Connected planning across functions. This is Anaplan's defining strength. Per its site, the platform unites finance, supply chain, sales and marketing, and HR or workforce planning on a single engine, so a change in one plan flows into the others. For a CFO who wants finance, sales, and workforce plans tied together as one source of truth, that connection is the entire value proposition, and Anaplan delivers it. SaaS-aware financial modeling. According to Anaplan's materials, its FP&A capability can model SaaS-specific dynamics like cohorts, recurring revenue, churn, and CAC. That matters for a B2B SaaS finance team building a full operating model, not just a sales number. Native AI forecasting and modeling assistance. Per its site, Anaplan has built AI directly into the platform, including a Forecaster capability for time-series forecasting, a CoModeler agent that helps build and extend models, and role-based agents for finance, sales, supply chain, and workforce. For teams that want AI embedded in their own planning workflows rather than bolted on, that direction is compelling.

The takeaway is simple. If you need a cross-functional enterprise planning system and you have the team to build in it, Anaplan is a category leader for good reasons.

Where ORM Takes a Different Approach

ORM is narrower on purpose, and the narrowness is the product.

We build a custom prescriptive sales forecasting model on your specific data, our team operates it, and we deliver forecasts and prescriptive recommendations specific to your B2B SaaS revenue engine. We model the full revenue path, from the first click on your site through the seventh renewal. We are not a platform your team configures. We are the team that owns the model. ORM's analyst agent, Radar, is a go-to-market data analyst that supports those decisions rather than a roster of function agents meant to run planning workflows across the enterprise.

Three differences matter most when you are weighing ORM against Anaplan for the revenue-forecasting job specifically.

Platform you build versus forecast that arrives

This is the core divergence. Anaplan is something your organization builds in. You configure the models, you maintain them, and you typically need trained modelers or a consulting partner to do it well. The platform is capable of almost anything, but capability is potential. The forecast you get out is only as good as the model your team builds and keeps current.

ORM removes the build entirely. Our data scientists construct the model, operate it, and deliver the output. There is no Center of Excellence to staff, no modeling tool for your team to learn, no implementation project standing between you and a working forecast. The CRO gets a number. The board gets a forecast they can defend. Nobody has to log into anything.

Descriptive and configurable versus prescriptive and owned

Anaplan, like most planning platforms, gives your team an engine to describe and project the business however they choose to model it. The throughline of ORM's work runs the other way, from descriptive to prescriptive. We do not just show you what the pipeline implies. We tell you where the gap is, which segments need attention, where to add pipeline, and how to reallocate resources to hit the number. That prescriptive layer is built by data scientists into a model we own, not assembled by your analysts inside a platform you license.

Accuracy you can attribute

ORM delivers 95%+ forecast accuracy from custom models built on your data, and because we build and own the model, that figure is ours to stand behind. Anaplan does not publish a single headline accuracy number, and that is not a knock. It is structural. On a platform, accuracy depends on the models your own team builds, so there is no single figure to publish. One Anaplan customer, JLR, reports reaching short-term forecast accuracy of 90%+ on Anaplan's site, which is a strong result, but it reflects what that customer built. With ORM, the forecast accuracy is attributable to us, and so is the work of improving it.

The broader context is why this matters. Clari Labs found in 2026 that 87% of companies miss their targets, and Gartner has reported that only 7% of sales organizations hit 90%-plus forecast accuracy. A platform alone does not move you into that 7%. The model inside it does, and someone has to build and own that model.

Other Alternatives to Consider

If ORM is not the right shape for your need, here is how the rest of the landscape breaks down, kept deliberately at the category level.

Connected-planning and FP&A platforms. This is Anaplan's direct competitive set. Several well-known enterprise planning systems compete on the same cross-functional, build-it-yourself modeling ground, and analyst rankings like Gartner's Financial Planning Software Magic Quadrant are a reasonable starting point for that comparison. If you genuinely need to connect finance, supply chain, sales, and workforce on one engine, stay in this category and compare platforms head to head. ORM is not trying to win that comparison. Revenue intelligence and forecasting tools. A separate category of CRM-connected tools focuses on pipeline visibility, deal scoring, and rep-level forecasting. These are lighter than a planning platform and aimed at the sales org rather than enterprise FP&A. They solve a different slice of the problem than either Anaplan or ORM, and we cover that landscape in our roundup of the best RevOps tools.

The point of laying these out is not to send you elsewhere. It is to make sure that if you do choose ORM, you are choosing it for the right reason: you want the revenue forecast solved, not a new platform to operate.

Who Each Is Right For

Anaplan is the better choice when:

- You need a connected-planning platform across finance, supply chain, sales, and workforce, not just a revenue forecast. - You have the team to build and maintain models, or budget for a consulting partner to do it. - You want one enterprise system as the source of truth across many functions, and the breadth justifies the implementation.

ORM is the better choice when:

- The job you actually need done is a reliable revenue forecast, not an enterprise planning platform. - You are a B2B SaaS company between $100M and $1B ARR, where forecast accuracy drives board confidence and fundraising. - You want prescriptive recommendations, not just a model that projects whatever your team configures. - You do not want to staff a planning Center of Excellence or run a long implementation to get value. - You want a partner who owns the forecast, updates the model, and answers for the number when the board has questions.

The Bottom Line

The best Anaplan alternative depends entirely on what you are replacing. If you need everything Anaplan does across the enterprise, the right alternative is another connected-planning platform, and you should compare them on that ground. But if you started this search because the revenue forecast is the thing that is broken, a full planning platform is a large answer to a focused question.

That focused question is where ORM lives. We do not ask you to build a platform. We build the model, operate it, and deliver a forecast your board can trust, with prescriptive recommendations on how to close the gap. For the full side-by-side on scope, accuracy, and delivery, see our deeper ORM vs Anaplan comparison.

Frequently Asked Questions

What are the main alternatives to Anaplan?

Most Anaplan alternatives fall into two camps. One is the broad connected-planning and FP&A platform category, where well-known enterprise planning systems compete on the same cross-functional modeling ground Anaplan owns. The other is the focused tool category, where a product solves one job well instead of spanning finance, supply chain, sales, and workforce. ORM sits in a third place: not a platform you build in at all, but a partner that builds and operates a custom prescriptive revenue forecast for B2B SaaS companies. The right alternative depends on whether you are replacing the whole planning platform or just trying to fix the revenue forecast.

Is ORM a full replacement for Anaplan?

Usually not a full replacement, because they solve different scopes. Anaplan is a connected-planning platform that, according to its site, spans finance, supply chain, workforce, and sales on one modeling engine. ORM is a focused partner that builds and operates a custom prescriptive revenue forecast for B2B SaaS. Some teams run both: Anaplan as the enterprise planning system of record, ORM as the dedicated revenue forecast the board trusts. Others choose ORM specifically because they want the revenue forecast solved without building and staffing a planning platform.

Why would a company look for an Anaplan alternative?

The most common reason we hear is scope and lift. Anaplan is powerful, but it is a platform your organization configures, models, and maintains, which typically means trained modelers or a consulting partner and a meaningful implementation. If the actual goal is a reliable revenue forecast rather than a cross-functional planning system, that is a large investment for one job. Teams in that situation look for an alternative that delivers the forecast as an outcome instead of as a platform they have to operate.

How does ORM's forecast accuracy compare to Anaplan's?

ORM delivers 95%+ forecast accuracy from custom models built on your specific data. Anaplan does not publish a single headline accuracy figure, because accuracy on its platform depends on the models your own team builds in it. One Anaplan customer, JLR, reports reaching short-term forecast accuracy of 90%+ on its site. The structural difference is that with Anaplan the forecast quality is a function of how well your analysts model the business, while with ORM the model is built and owned by our data scientists, and the accuracy figure is ours to stand behind.

What size company is ORM right for?

ORM focuses specifically on B2B SaaS companies between $100M and $1B ARR, where forecast accuracy has direct consequences for board confidence, fundraising, and planning. Anaplan, according to its site, serves over 2,600 brands across many functions and industries, including very large enterprises. There is overlap at the upper end, where the question becomes whether you want a broad planning platform your team builds in or a focused partner who owns the revenue forecast.

PF
Pete Furseth
ORM Technologies
Pete has built custom revenue forecast models for B2B SaaS companies for over a decade.
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