Best CPQ Software: 9 Platforms Compared

There is no universally best CPQ software — and any list that claims otherwise is selling something. The right platform depends on how complex your catalog is, what role you want AI to play, which pricing models you sell, which CRM or ERP sits at the center of your business, and how much of the quote-to-cash process the system needs to own.

This guide compares nine quoting platforms in a single, consistent format. The goal is not to crown a winner. It is to give you enough substance about each system to judge it against your own requirements — and to know which questions to ask in a demo.

A quick definition before diving in. CPQ software automates three steps that otherwise live in spreadsheets and email threads: configuring a valid product, applying the correct pricing, and producing a quote the customer can accept. The payoff is fewer errors, faster turnaround, and quotes that finance can trust without re-checking every line.

CPQ Software Platforms Reviewed

Each platform below is reviewed in the same structure: what the product is, what it does well, who it fits, and where its limits are. The order is not an absolute ranking. A system that is a poor match for a ten-person SaaS team can be exactly right for a global manufacturer, and the reverse is just as true.

The market for these tools is wide. Some are lightweight quote generators bolted onto a CRM; others are enterprise engines that model engineering constraints and hand orders to an ERP. Judging them on the same axis makes little sense — so judge each on the quotes it will actually produce for your team, on your catalog, in your process.

As you read, keep four evaluation questions in mind: Can the software model your catalog without custom code? Who maintains the rules once the consultants leave? How do quotes flow between the system and your CRM and ERP? And what does year two cost — not just year one?

Quortix.ai — AI-Native CPQ for AI-Assisted Administration and Quoting

Quortix.ai is an AI-native configure price quote platform. Its defining difference is not a built-in AI helper — it is the ability to connect the AI agents your company already uses through the Model Context Protocol (MCP) and let them operate the platform under human review.

That distinction matters because most vendors bolt a chat window onto an existing product. Quortix.ai works the other way around: there is no in-app chatbot at all. AI works through the agent of your choice, connected over MCP, and every decision is finalized by a person in the visual workspace.

In practice, that means the AI layer is a capability of the platform rather than a bolt-on feature. Any MCP-compatible agent — including ones your company already runs for other work — can read the catalog, draft changes, and prepare quotes, while the workspace remains the single place where humans review and decide.

AI for CPQ administration

An administrator or RevOps specialist describes a new product, pricing tier, bundle, constraint, or rule in plain language. The connected agent drafts the change, and it appears in the visual workspace as a reviewable diff. The user checks it, approves or rejects it, and keeps full control over what gets published.

The platform also records a history of every change that was made — what changed, when, and which agent proposed it. That audit trail is what makes delegating setup work to AI defensible in front of finance and compliance.

AI-assisted sales quoting

The second scenario turns customer requirements into a draft proposal. An agent reads what the customer needs, resolves it against the live catalog and configuration rules, and produces a draft quote for a manager to review and refine. The workspace can also surface recommendations for bundles, promotions, and upsells alongside the draft, so the rep sees the commercially stronger option before sending.

The important detail is where the human sits. The agent prepares; the manager decides. Quotes leave the building only after a person has reviewed the draft — which keeps AI speed from turning into AI risk.

“The test for AI in CPQ is not whether it can chat. It is whether it can safely change your catalog and draft your quotes while a human stays in control of what ships.”

Beyond the two AI scenarios, the platform covers the core CPQ feature set:

• Visual rules engine with a dependency graph that shows how rules interact before a change ships.
• Rule simulator for testing pricing and constraint changes against real configurations.
• Reusable, versioned configuration templates with safe rollouts and rollback.
• Promotion and bundling rules with explicit stacking and exclusion logic.
• Guided selling flows and AI recommendations grounded in the product catalog.
• APIs and integration patterns for CRM and ERP systems.

Who It's Best For

Quortix.ai fits sales and sales-operations teams that want AI to do the heavy lifting in CPQ setup and quote preparation while a human keeps final say. It is a strong candidate for companies moving off spreadsheets, replacing a legacy CPQ, or selling SaaS products or complex equipment — especially where the goal is to reduce dependence on developers and outside consultants.

For teams weighing AI claims across vendors, one practical check: ask each vendor to show the exact boundary between what the AI can change on its own and what requires human approval. With Quortix.ai, that boundary is explicit — nothing ships without a reviewed diff, and the change history shows who approved what.

Salesforce Agentforce Revenue Management

Salesforce positions Agentforce Revenue Management as something broader than traditional CPQ. It brings pricing, quoting, contracts, orders, usage, and billing together inside Salesforce, and Agentforce agents can help create and update quotes along the way.

For companies deep in the Salesforce ecosystem, the appeal is structural: quoting stops being a separate software purchase and becomes part of the same data model that already holds the pipeline.

• Native work with Salesforce data — accounts, opportunities, and products stay in one place.
• Unified product and pricing catalogs shared across the whole revenue process.
• Configurable products and bundles with discount and approval rules.
• Contract, order, usage, and billing objects connected to the same catalog.

Who It's Best For

Large and fast-growing companies already committed to Salesforce that want catalog, pricing, proposals, contracts, orders, and billing managed in one system rather than stitched together across point tools.

Limitations

The solution can be more than a company needs if the actual requirement is a simple proposal generator. Implementation assumes your catalog, prices, processes, and user roles are prepared in advance — that groundwork is not optional.

Complex projects typically involve Salesforce administrators and often an implementation partner. Budget for configuration, data migration, integrations, and ongoing support — not just licenses. And teams moving off the older Salesforce CPQ should verify how their existing rules map to the new model before committing.

DealHub — Connected CPQ for Growing Sales Teams

DealHub combines CPQ with a digital deal room, subscription management, and billing. The pitch is a connected path from product setup to invoice, rather than a standalone quote generator that hands off to other systems.

The product covers guided product selection, pricing rules, automated discount approvals, proposal generation, and support for one-time, subscription, and usage-based payment models. Administration is no-code, and the platform integrates with the mainstream CRM systems.

The deal room is worth singling out. Instead of emailing a PDF, the seller shares a live page where the buyer reviews the offer, asks questions, and signs — and the seller sees engagement signals along the way.

Who It's Best For

Mid-sized companies, SaaS business models, and scaling sales teams that have outgrown standalone proposal tools and want quoting, buyer engagement, and billing connected in one flow.

Limitations

Pricing is calculated individually per customer, which makes total cost hard to estimate up front. The full module set may also be more than a team needs if the requirement is a basic CPQ solution only.

Manufacturers should verify support for bills of materials, engineering dependencies, and integration with production ERP systems. And even with no-code administration, complex pricing models still demand well-prepared data and rules.

Oracle CPQ — Enterprise Configuration Connected to ERP

Oracle CPQ is an enterprise platform built for deeply configurable products, very large catalogs, and processes that are tightly coupled to ERP.

It handles guided configuration, dynamic pricing, discount approvals, and proposal generation, and it extends into territory most tools do not touch: quoting against a customer's installed assets, generating bills of materials, and handing a confirmed order to downstream systems.

That depth is the point. Oracle CPQ competes where the quote is effectively a small engineering project — hundreds of line items, nested configurations, and commercial terms that must reconcile with what the factory can actually build.

Who It's Best For

Global manufacturing, technology, and B2B companies with large catalogs, complex configuration rules, and an internal IT team that can own the platform long term.

Limitations

For smaller companies and simple catalogs, Oracle CPQ is heavy. Implementation and ongoing development usually require specialized administrators and developers, and day-to-day administration is more technical than in modern no-code systems.

ERP integration typically needs dedicated configuration work even where a ready-made connector exists. Anyone migrating should assess the effort of moving the catalog, quote scenarios, rules, and order workflows before signing.

Conga CPQ — CPQ for Complex Quotes and Contracts

Conga offers more than one CPQ product — including Smart CPQ and Advantage CPQ — so the first task for a buyer is identifying which product line fits their architecture.

Across the portfolio, the capabilities cover guided selection, complex bundles, price and margin controls, multi-step approvals, automated document generation, and a tight link into contract lifecycle management.

That contract link is the differentiator. In document-heavy sales, the quote is only the opening move — the negotiated terms, redlines, and renewal obligations that follow are where deals are won or leaked. Conga's bet is that owning that whole chain matters more than owning quoting alone.

Who It's Best For

Large companies whose quotes carry many line items and heavy documents, and where proposals are closely tied to contracts, amendments, and renewals.

Limitations

The existence of several CPQ products and add-on modules complicates the initial evaluation. Buyers need to establish early which Conga product matches their stack — before comparing it to anything else.

Enterprise-grade configuration can extend implementation timelines and raise training requirements. Clarify what ships in the core product versus what requires the separate contract, document, or pricing tools.

SAP CPQ — CPQ for SAP-Centered Sales Processes

SAP CPQ configures complex products, calculates prices, and produces quotes across direct, partner, and e-commerce sales channels.

Like Oracle, SAP treats CPQ as one link in a longer chain that runs from opportunity to order to fulfillment. The system is designed to hand a clean, validated order to SAP ERP without manual re-entry.

It models dependencies and constraints between components, applies discount rules and approvals, generates proposals, supports partner selling, and connects to CRM, e-commerce, and ERP systems.

Who It's Best For

Manufacturing, distribution, and international B2B companies — particularly those already running SAP ERP, SAP Sales Cloud, or other parts of the SAP ecosystem.

Limitations

The product delivers the most value inside an SAP architecture. Integrating with ERP and complex configuration models can require experienced specialists, and that expertise is not cheap.

Before implementation, decide which system will hold the catalog, prices, and rules as the source of truth. Setting up organizational structures, regions, price lists, and sales channels takes real time. If you run a third-party CRM, check the depth of data synchronization — not just whether an integration exists.

HubSpot CPQ — CRM-Connected Quoting for Growing Teams

HubSpot's quoting lives inside its CRM: a rep creates a quote directly from a deal record, pulls items from a product library, and applies fixed or tiered pricing, discounts, and taxes.

Approvals, templates, e-signature, and buyer acceptance are built in, so a deal can move from draft to signed order without leaving HubSpot.

The strength of this approach is adoption. Reps already work in the CRM, so quotes get created where the deal lives — there is no separate system to log into and no sync to break.

Who It's Best For

Small and mid-sized companies already on HubSpot that want quotes, invoices, and payments handled in the CRM without deploying a separate heavyweight CPQ platform.

Limitations

Advanced features depend on the Revenue Hub tier and the number of paid seats, so capability and cost scale together as the team grows.

The system is not designed for complex engineered products, large bills of materials, or deep manufacturing configuration. Test product dependencies, configuration validation rules, and ERP integration against your own catalog before committing — and model how cost changes as you add users and other HubSpot products.

Zoho CRM CPQ — Built-In CPQ for Zoho Users

Zoho CRM includes a built-in set of CPQ tools for configuring products and automating pricing directly inside the CRM.

Its Product Configurator and Price Rules can add mandatory items automatically, recommend related products, assemble bundles, apply discounts, calculate dynamic prices, and automate quote line items — without a separate platform.

Because the CPQ layer ships inside the CRM, there is no separate contract to negotiate and no integration project to fund — a meaningful advantage for a small business watching its software budget.

Who It's Best For

Small and mid-sized teams already working in Zoho CRM with a relatively straightforward catalog, who want basic configuration without buying a separate enterprise CPQ system.

Limitations

CPQ capability is tied to Zoho CRM's architecture and editions, and some features roll out gradually or only to specific user categories.

Engineering-heavy configurations, subscription changes, and usage-based calculations should be validated in a demo with your own data. Integrations outside the Zoho ecosystem may also need extra setup work.

Salesbricks — Quote-to-Payment Platform for B2B SaaS

Salesbricks targets B2B SaaS companies with a single connected flow: plan configuration, proposal, contract, invoice, and payment.

It supports subscription and usage-based models, bundles, price ramps over the contract term, configurable quotes, legal terms, e-signature, billing, and payment collection — the whole span from a plan picked to money received.

The design reflects how SaaS deals actually close: the buyer picks a plan, the seller adjusts terms, and the contract, invoice, and payment follow from the same record. For a sales-led SaaS motion, that continuity removes an entire category of handoff errors.

Who It's Best For

SaaS startups and growing B2B companies that want one motion from plan selection to invoice and collected payment, without assembling separate billing and signature tools.

Limitations

The product is built for software and subscriptions first. It is unlikely to fit manufacturers with engineering dependencies and bills of materials.

Verify support for the CRM, accounting, tax, and payment systems you rely on. International companies should also confirm how the platform handles multiple currencies, legal entities, tax regimes, and financial reporting requirements.

Frequently Asked Questions

What Is the Best CPQ Software?

There is no single best system. The right choice depends on catalog complexity, pricing models, the role you want AI to play, the CRM and ERP already in place, your budget, and the resources you can commit to implementation.

What Is the Best AI CPQ Software?

Compare the specific role AI plays rather than the label on the box. Quortix.ai uses AI agents connected over MCP for both administration and quote preparation, with human review of every change — a different model from a chat assistant.

What Is the Best CPQ Software for Small Businesses?

Quortix.ai, HubSpot CPQ, and Zoho CRM CPQ are practical options for small businesses. The final call depends on how complex the catalog is and which CRM the team already runs day to day.

What Is the Best CPQ Software for SaaS?

Quortix.ai, DealHub, HubSpot, Salesforce, and Salesbricks all serve SaaS at different scales — from a first sales hire quoting subscriptions to an enterprise unifying quoting with usage-based billing and revenue operations.

How Much Does CPQ Software Cost?

Total cost covers licenses plus implementation, integrations, data migration, training, and ongoing support. Many enterprise vendors publish no price at all and give a figure only after a consultation, so budget for the full project.

Conclusion

The right CPQ is not the one at the top of a list — it is the one that matches how your business actually sells. Every platform reviewed here is the correct solution for someone and the wrong one for someone else.

So skip the search for an absolute winner. Shortlist three platforms that plausibly fit your catalog, pricing models, and stack — then run the same real scenario through each: one genuine deal, with its actual products, discounts, and approval path. The system that handles that scenario with the least friction is your answer, whatever any ranking says.

Three practical checks for that shortlist stage: insist on a pilot with your own catalog data rather than a canned demo; have the people who will administer the system — not the vendor — make a rules change during evaluation; and get the full cost in writing, including implementation and integrations.