Software advice
Best AI CPQ Software in 2026
AI CPQ software is a commercial application that guides a seller through configuring a product or service, applying the right price and discount rules, and producing a quote, with machine learning or generative AI helping to model products, suggest prices or draft quotes. It is not a CRM, and it does not replace a pricing strategy or approval policy.
Quick answer
Tacton ranks first for manufacturers because its AI builds the product model. DealHub is the pick for SaaS revenue teams that want conversational quoting under approval rules. Quoter suits managed service providers that want a posted monthly price.
A CPQ buyer first decides what makes a quote hard. For a machine builder the pain is thousands of valid option combinations. For a software seller it is discounts, renewals and approvals. For a job shop it is costing a part from a drawing. AI is being added to each of those jobs, but the claims differ in how testable they are. This ranking judges what each vendor documents about its AI, whether any price is posted, which security evidence is published, and how hard it is to leave. Vendor sites were read on 30 October 2026. Most vendors sell by quote only.
The 12 best AI CPQ 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 | Tacton | Manufacturers of configurable equipment whose product modeling is the slowest part of a CPQ rollout | No | Quoted |
| 2 | DealHub | SaaS revenue teams that want quoting, contracts and sales rooms run by RevOps without IT tickets | No | Quoted |
| 3 | Configit | Makers of highly variable products that need one configuration model shared by engineering and sales | No | Quoted |
| 4 | Subskribe | Subscription businesses that want quotes, billing and revenue recognition on one product catalog | No | Quoted |
| 5 | Paperless Parts | CNC, sheet metal and additive job shops that quote custom parts from drawings and CAD files | No | Quoted |
| 6 | Quoter | Managed service providers who want a posted price and several people building quotes | No | $299 per month |
| 7 | Conga | Companies that want CPQ, billing and price management from one revenue lifecycle vendor | No | Quoted |
| 8 | Oracle CPQ | Large enterprises already on Oracle applications that want guided selling with approvals and multiple price books | No | Quoted |
| 9 | Salesforce Revenue Cloud | Companies already running Salesforce CRM that want agent-assisted quoting on the same data model | No | $150 per user per month |
| 10 | Zuora CPQ | Subscription companies quoting mixes of recurring plans, products and services alongside Zuora Billing | No | Quoted |
| 11 | Pricefx | B2B manufacturers and distributors that want quoting tied to price management and margin guardrails | No | Quoted |
| 12 | Nue | SaaS companies that want quoting, usage metering and billing on one subscription platform | No | Quoted |
- 1
Tacton
Tacton takes first place because it applies generative AI to the step that stalls most manufacturing CPQ projects, building the product model. Its AI Modeling Assistant turns unstructured product data into model foundations, and the vendor says experts still approve every model before it syncs. The vendor's 50 to 80 percent effort figure is its own claim, and no price is published.
Strong on
- AI Modeling Assistant drafts CPQ models from fragmented product data, with expert approval kept in the loop
- Connects to Salesforce, Dynamics 365, SAP, Oracle and HubSpot, plus a configuration lifecycle suite
- Industry pages cover chemicals, energy equipment, food machinery, mining and fluid handling
Weak on
- The 50 to 80 percent modeling reduction is a vendor figure, not an independent test
- Built for complex made-to-order products, so it is heavy for simple catalogs
Skip it if: Software or services sellers with flat price lists, who would pay for configuration depth they never use. No price on the pages read; a demo request is the only route to a quote.
- 2
DealHub
DealHub ranks second because its AI claims are concrete and bounded by rules. A natural language quoting agent, AI pricing optimization, prompt-based revenue analytics and a native MCP server are listed, and approval thresholds still apply. Its security page shows SOC 2 Type II and ISO 42001. DealHub also announced the purchase of Subskribe, so the roadmap may shift.
Strong on
- Natural language quoting agent builds compliant quotes and DealRooms from a prompt
- Native MCP lets a team connect its own agents to quoting workflows
- ISO 27001, ISO 42001, SOC 1 and SOC 2 Type II are listed on its security page
Weak on
- No published price, so budgeting waits for a sales conversation
- Its acquisition of Subskribe, announced on Subskribe's site, leaves product overlap unresolved
Skip it if: Manufacturers configuring engineered products with deep rule sets, where a dedicated configurator is the safer base. The pricing page leads to a demo request instead of a price table.
- 3
Configit
Configit comes third because its AI is rooted in configuration logic rather than chat. The vendor describes Virtual Tabulation as a patented technology that handles extreme variant counts, and Ace Prompt as a way to turn scattered product information into structured models. It is aimed at engineering-led firms, and the pages read gave no price or certification list.
Strong on
- Virtual Tabulation is described as handling very complex products and global CPQ rollouts
- Ace Prompt turns scattered product information into structured configuration models
- One model can validate data across PLM, ERP and CPQ, per the vendor
Weak on
- No price or plan table appeared on the pages read
- The security pages read listed no certification, so request evidence before signing
Skip it if: Teams selling standard packages who need deal desks, discount approvals and renewals more than variant rules. Pricing is not shown on the pages read; the site routes to a demo booking.
- 4
Subskribe
Subskribe sits fourth because quoting is one third of a single quote-to-revenue product, which suits finance-led SaaS buyers. DealDesk AI adds guided selling, summaries and sales rooms. The weak spot is ownership: the site's banner says DealHub has acquired it, so independence is ending, and no security evidence appeared on the pages read at all.
Strong on
- CPQ, billing and revenue recognition share one catalog, so quote data needs no reconciliation
- Handles upsell, cross-sell, amend, renew and cancel orders with multilevel discounting
- Native Salesforce, HubSpot and e-signature connections are listed
Weak on
- Its own site banner announces the DealHub acquisition, so product direction may change
- No certification page was found in this check
Skip it if: Companies that only need quotes and already run a billing system they plan to keep. Plans are described by feature list; the price is given only after contacting sales.
- 5
Paperless Parts
Paperless Parts ranks fifth because it solves a narrow problem well: estimators in custom manufacturing shops pricing one-off parts. Its site focuses on costing and pricing automation and ERP integration. The standout evidence is compliance, with CMMC Level 2 Assessment-Ready status and ITAR registration. No AI claims could be verified from the pages read, so it ranks on workflow fit and compliance.
Strong on
- Costing and pricing automation aimed at estimators in machine and fabrication shops
- States CMMC Level 2 Assessment-Ready, ITAR registration and FedRAMP Moderate Equivalent hosting
- Integrates with shop ERP systems, according to its pricing page
Weak on
- Built for made-to-order parts, so it has no subscription or SaaS quoting logic
- Price is request-only and no AI statement was confirmed on the pages read
Skip it if: Software vendors or distributors quoting catalog items, who would not use its part costing at all. The pricing page is a request form with no figures.
- 6
Quoter
Quoter lands sixth because it is the only vendor here with a plain price list, but nothing on its pages read described AI. It is an MSP-native quote-to-cash tool: distributor catalog pricing, e-signature, payment and approval rules. The plan is priced by monthly quote count, not seats, so cost rises when sales volume does, and the cap matters.
Strong on
- Three posted plans at $299, $449 and $599 per month, all with unlimited users
- Product Cloud lists more than 21 million hardware SKUs for distributor pricing
- Approval rules fire only on quotes that need oversight, such as margin floors
Weak on
- No AI feature was found on the pages read
- Quote volume caps at 250 per month on the top listed plan
Skip it if: Enterprises with engineered products or subscription catalogs that go well beyond MSP-style hardware and service bundles. Plan price for 75 published quotes per month, with unlimited users on every plan.
- 7
Conga
Conga ranks seventh because its quoting sits inside a wide revenue lifecycle suite, which adds breadth and implementation weight. Its AI offering is AIME, described as AI-powered intelligence across the commerce chain, plus AI-driven price optimization. The pages read give little detail on how either works, and no price is posted. Buyers need a live demo to test them.
Strong on
- CPQ, contracts, billing and price optimization sold under one revenue lifecycle roof
- AIME is presented as an AI layer across quoting and commerce
- Price management and price optimization modules sit beside CPQ
Weak on
- The pages read describe AI in marketing terms, with few testable specifics
- No posted price, so total cost depends on modules chosen
Skip it if: Small sales teams that need a working quote template this month and have no admin to run a suite. No price or plan table on the pages read, only demo routes.
- 8
Oracle CPQ
Oracle CPQ sits eighth because it is an established enterprise product whose AI pitch is about guidance, not agents. The page lists AI-driven suggestions for selling, deal scoring, discount recommendations and win-probability insights inside quotes. Oracle also cites a ninth straight year as a Gartner Magic Quadrant Leader, which is the vendor's own statement. Price is not published.
Strong on
- Deal scoring and optimal discount recommendations appear inside the quoting workflow
- Supports multiple price books, promotions, channel pricing and localization
- Dynamic approval routing for discounts and deal terms
Weak on
- The Gartner placement is cited by Oracle itself, not tested here
- Setup tends to need consultants and fits a wider Oracle stack
Skip it if: Startups wanting self-serve sign-up and a posted price before talking to a salesperson. No price on the product page; Oracle directs buyers to a demo request.
- 9
Salesforce Revenue Cloud
Salesforce Revenue Cloud takes ninth place because it is the default for Salesforce shops, not because its AI is proven. The pages read show Agentforce creating and sending quotes, AI clause redlining and one catalog for pricing, quoting, contracting and billing. It publishes per-user prices, which most rivals do not, but it is sold as a paid add-on and the cost rises with every seller.
Strong on
- Posted prices of $150 and $200 per user per month for the two editions
- Agentforce can generate, update and send quotes inside the CRM
- One data model covers pricing, quoting, contracting and billing
Weak on
- Per-user pricing adds up across a large sales team
- Needs Salesforce licensing, and the Revenue Cloud product is a paid add-on
Skip it if: Teams on HubSpot or Dynamics who would be rebuilding their CRM only to get the quoting engine. Growth edition price from Salesforce's pricing page; the Advanced edition costs $200 per user per month.
- 10
Zuora CPQ
Zuora CPQ closes the list because the product page read made no AI claim, offered no price and listed no certification. It remains a real option for firms whose billing already runs on Zuora, since Zuora describes it as purpose built for quoting any combination of subscriptions, products and services. Without AI evidence, it ranks below vendors that documented theirs.
Strong on
- Quotes mixed bundles of subscriptions, one-time products and services
- Sits beside Zuora Billing, Revenue and Collect for a connected quote-to-cash path
- Zuora describes it as built for subscription quoting, not retrofitted from one-off sales
Weak on
- No AI feature was named on the page read
- No pricing or security evidence appeared on the page read
Skip it if: Buyers who want AI quote generation or guided selling today and no existing Zuora contract. The product page offers a demo and expert call, with no price shown.
- 11
Pricefx
Pricefx ranks eleventh because its quoting module is one capability of a wider pricing platform, not a standalone product configurator. The quoting page describes floor, target and stretch price guidance, approval routing and margin guardrails, and the company lists AI optimization and agents separately. Buyers with a pricing team will find depth, while sellers needing option-tree configuration will need another tool.
Strong on
- Quotes carry floor, target and stretch price guidance with discount approval thresholds
- Quoting shares data with price management, agreements, rebates and promotions
- Partner pages list SAP, Salesforce, ServiceNow and Databricks connections
Weak on
- The quoting page describes price guidance, not product configuration rules
- No price or certification list appeared on the pages read
Skip it if: Manufacturers whose main quoting problem is valid option combinations rather than discount and margin control. No price appears on the pages read, and a demo is the way to request one.
- 12
Nue
Nue ranks twelfth because its CPQ is bundled with billing, metering and collections, and the homepage gives few specifics on the AI itself. It describes agentic CPQ for configuration, pricing and guided selling, with Finance guardrails, and says it is SOC 2 Type II certified. Sales teams that only need a quoting tool would be adopting a full quote-to-cash platform.
Strong on
- CPQ, usage and credits metering, billing and collections run on one data model
- The homepage states SOC 2 Type II certification and GDPR compliance
- Salesforce users can build quotes and approvals inside their CRM
Weak on
- Pricing and AI feature depth were not documented on the page read
- Value shows mainly when billing moves onto Nue as well
Skip it if: Manufacturers with deep product option trees, or any buyer who wants to keep an existing billing system. No price appears on the homepage read, and the call to action is a request for Agentic CPQ.
How these AI CPQ software were judged
How much of the AI in CPQ software is documented and testable?
Most vendors here describe AI features, but few show evidence you can test. DealHub lists four named capabilities: a natural language quoting agent, AI pricing optimization, revenue analytics and a native MCP server. Tacton describes an AI Modeling Assistant and says experts approve each generated model. Configit points to Virtual Tabulation for variant logic and Ace Prompt for model building. Oracle names deal scoring and discount recommendations. Quoter, Paperless Parts and Zuora CPQ showed no AI claim on the pages read. Ask any vendor to run a real quote from your catalog in the demo.
Is CPQ software priced per seat, per quote, or by quote only?
Posted prices are rare, as of October 2026. Quoter prints $299, $449 and $599 per month for 75, 150 and 250 published quotes with unlimited users. Salesforce Revenue Cloud prints $150 and $200 per user per month for its two editions, and calls Revenue Cloud a paid add-on to Sales Cloud. DealHub, Tacton, Configit, Subskribe, Conga, Oracle, Paperless Parts and Zuora route to sales. Budget for implementation separately, because configuration models and approval rules usually take longer to build than the license takes to buy.
What security evidence do CPQ vendors publish for pricing and customer data?
Quote data holds your margins and customer terms. DealHub's security page lists ISO 27001, ISO 27701, ISO 22301, ISO 42001, SOC 1 Type II and SOC 2 Type II, and links a data processing addendum and sub-processor list. Paperless Parts states CMMC Level 2 Assessment-Ready status, ITAR registration and FedRAMP Moderate Equivalent hosting. The pages read for Tacton, Configit, Subskribe, Conga, Quoter and Zuora showed no certification list. None of the pages read stated whether customer quotes train AI models, so ask in writing.
How hard is it to leave a CPQ platform?
Switching cost sits in the product model, the price rules and the approval logic, not in the quote PDFs. A configuration model built in Tacton or Configit encodes engineering rules that took months to write. A DealHub or Subskribe catalog holds pricing structures that billing may depend on. Salesforce Revenue Cloud and Oracle CPQ connect to wider stacks, so leaving means touching CRM and ERP. Before signing, ask for an export of products, rules and price books in a readable format, and confirm in the contract that your models belong to you.
Which CPQ fits a manufacturer, a SaaS company, or a service provider?
Pick by what makes your quotes hard. A manufacturer with deep option trees should test Tacton or Configit first. A SaaS revenue team handling renewals and discount approvals should look at DealHub or Subskribe. A company on Salesforce can price Revenue Cloud directly because its rates are posted. A managed service provider with distributor catalogs fits Quoter, and a machine shop pricing parts fits Paperless Parts. Oracle CPQ and Conga suit buyers who already run those vendors' suites and have an admin team.
How to choose an AI CPQ software in three steps
- Write down what makes your quotes slow. List the last ten quotes that went wrong or took more than a day, and note the cause: invalid combinations, discount approvals, renewal math, or costing from drawings. The cause points to a subtype. Configuration engines fix invalid combinations, deal desks fix approvals, and part costing tools fix drawing-based estimates. A vendor that cannot show a fix for your top cause in a demo is the wrong category, however good its AI pitch sounds in marketing copy or analyst charts.
- Bring a real catalog to the demo. Ask each shortlisted vendor to build three of your actual quotes live, including one with an awkward discount and one amendment. Watch where the AI helps and where a person still has to fix the output. Request the same task from every vendor so the results compare. Treat any vendor that only shows a prepared sandbox as unproven, and write down how long each build took. Implementation time is the real cost of CPQ, and a demo that runs long is a preview of your rollout.
- Get price, certificates and exit terms in writing. Request a total price covering licenses, modeling or implementation, and any per-quote or per-seat growth. Ask for the current SOC 2 report or ISO certificate, and a written answer on whether your quote data trains models. Quote data often carries contract terms, so ask who at the vendor can see it. Finally, ask what format your products and rules export to and what the vendor charges for it. If an answer is vague, assume leaving will be slow and expensive, and weigh that against the discount on offer.
Frequently asked questions
What is the best AI CPQ software in 2026?
Tacton ranks first in this editorial list because its AI Modeling Assistant targets the slowest part of manufacturing CPQ, product modeling, and keeps expert approval in place. DealHub is the pick for SaaS revenue teams, and Quoter is the pick for managed service providers wanting a posted price. The order reflects documented AI, posted pricing and security evidence as of October 2026.
What does CPQ stand for and what does AI add?
CPQ stands for configure, price, quote. It guides a seller through valid product options, applies pricing and discount rules, and produces a quote. AI adds assistance at different points: drafting product models, suggesting prices, answering prompts about revenue data, or generating a quote from plain language. How much is real depends on the vendor, so test each claim on your own products.
Which CPQ tools publish their prices?
Only two vendors here posted figures on the pages read in October 2026. Quoter lists $299, $449 and $599 per month by quote volume with unlimited users, and Salesforce Revenue Cloud lists $150 and $200 per user per month for its two editions. DealHub, Tacton, Configit, Subskribe, Conga, Oracle, Paperless Parts and Zuora direct buyers to sales for a quote.
Is DealHub or Subskribe the better choice after the acquisition?
Subskribe's own site announces that DealHub has acquired it, so the two products may converge, and the roadmap was not published on the pages read. DealHub documents more AI features and a fuller security list. Subskribe offers CPQ, billing and revenue recognition on one catalog. If billing consolidation matters most, ask both how the combined product will be sold and supported.
Can AI configure complex products without engineers checking it?
Not according to the vendors read. Tacton states that experts remain accountable for reviewing and approving every generated model before synchronization, and calls its AI a co-pilot. Configit pitches Ace Prompt as turning scattered product information into structured models. For safety-relevant or high-cost products, assume a person validates the configuration rules before sellers rely on them.
Does CPQ software integrate with Salesforce or HubSpot?
Several do. Tacton lists Salesforce, Microsoft Dynamics 365, SAP, Oracle and HubSpot. DealHub lists Salesforce, Dynamics, HubSpot and NetSuite. Subskribe lists native Salesforce and HubSpot connections. Salesforce Revenue Cloud runs on Salesforce itself. Confirm the depth of each integration, since a connector may sync accounts and quotes but not custom objects or approval states.
What is the difference between CPQ and proposal software?
CPQ produces a priced, rule-checked quote from a product catalog, with approvals for discounts. Proposal software builds the narrative document around it, with text, case studies and e-signature. Some CPQ vendors add a sales-room or proposal page, such as DealHub's DealRoom. If your problem is pricing accuracy, start with CPQ. If it is presentation, start with proposal tools.
How long does a CPQ implementation take?
No vendor read published a standard timeline for a typical customer. Tacton says product modeling is usually the most time-intensive phase and claims its AI reduces that effort by 50 to 80 percent, which is a vendor figure. Subskribe says teams can go live in weeks. Treat both as claims and ask for references with a catalog similar in size to yours.