Quoting, the final step in CPQ (configure, price, quote), has become harder, not easier. Forrester's State of Business Buying, 2026, based on a survey of nearly 18,000 global business buyers, found that the typical complex purchase now runs through 13 internal stakeholders and 9 external participants, with procurement acting as a formal decision-maker in 53% of buying cycles. Buyers also do most of the work alone: 6sense's 2025 Buyer Experience Report found they complete 60% of the purchase journey before contacting a vendor.
AI agents are about to raise the bar again. Gartner predicts that by 2028, 90% of B2B buying will be AI agent intermediated, pushing over $15 trillion of B2B spend through AI agent exchanges. When software agents request, compare and approve quotes, a CPQ with clean pricing rules and open APIs stops being a nice-to-have. The payoff for getting it right is well documented: Nucleus Research found that CPQ deployments return an average of $6.22 for every dollar invested over three years. This guide compares five leading platforms, including Journeybee and its CPQ software for channel partners, on best fit, pricing and AI agent readiness.
What Is the Best CPQ Software in 2027?
Here is the short answer, by buyer type:
- Best for partner-led and multi-tier channel sales: Journeybee. Partners self-serve quotes in a branded portal, and CPQ, deal registration and partner data live on one platform.
- Best for global enterprises standardized on Salesforce: Salesforce Revenue Cloud (also marketed as Agentforce Revenue Management), with Agentforce quoting agents.
- Best for SaaS and SMB teams already on HubSpot: HubSpot Revenue Hub (formerly Commerce Hub), with AI-generated quotes and fast onboarding.
- Best for engineer-to-order manufacturing at massive scale: Oracle CPQ, built for very large bills of materials and deep custom logic.
- Best for buyer collaboration in digital-first sales: DealHub, with interactive DealRooms and MCP servers for AI agents.
CPQ Software Comparison: Top 5 at a Glance
The tables below compare the five platforms on best fit, AI agent capabilities and cost. Prices reflect each vendor's published pricing as of November 2026 and exclude implementation.
AI Agent Capabilities Compared
Every vendor on this list now markets AI agents. The practical differences are what an agent can do with a quote, how outside agents connect, and which rules keep them in check.
Pricing and Total Cost of Ownership Compared
License price is rarely the biggest number. Seat models, add-ons and implementation partners decide what you actually pay, especially once partners need access.
How AI Agents Are Changing CPQ in 2027
AI agents are moving CPQ from a tool reps operate to a system that agents operate on their behalf. Gartner predicts that AI agents will outnumber sellers 10 to 1 by 2028, yet fewer than 40% of sellers will say agents improved their productivity. The same research found that sales leaders who overhaul data, automation and user experience will be five times more likely to gain ROI from AI than those choosing quick fixes. For CPQ, four shifts matter most.
- Quotes start from conversations, not forms. Reps and partners increasingly describe a deal in plain language, in a CRM, Slack or an AI assistant, and an agent drafts the quote. Salesforce, Oracle, HubSpot and DealHub now all offer some form of AI-assisted or natural-language quoting.
- Buyers' agents will request quotes too. If most B2B buying becomes agent intermediated, your pricing needs to be reachable by machines. Gartner expects API-first, headless architectures to "establish a significant competitive moat", which is the same logic behind a headless partner portal.
- Rules matter more than ever. An agent is only as accurate as the pricing logic underneath it. As Gartner's Dan Gottlieb puts it, "If those systems are fragmented, the agents will scale the fragmentation." Deterministic discount limits, product compatibility rules and approval chains are what stop an agent from sending a margin-destroying quote.
- Partners will quote through their own AI tools. Protocols such as MCP let a partner's AI assistant query approved pricing and catalog data without logging into a portal. Our guide to how AI agents connect to partner platforms through MCP explains how this works, and Journeybee's partner AI agent shows it in practice.
Adoption is moving fast: Gartner projected that 40% of enterprise applications would feature task-specific AI agents by the end of 2026, up from less than 5% in 2025. When you shortlist CPQ software, ask each vendor three questions: Can external agents create quotes through an API or MCP server? Which rules can an agent never override? And is every AI-generated quote logged and auditable?
What B2B Buyers Expect From CPQ in 2027
Buyer expectations have moved faster than most quoting stacks.
- Self-service, with a human backstop. Gartner's March 2026 sales survey found that 67% of B2B buyers prefer a rep-free buying experience, up from 61% a year earlier (Gartner). Yet a May 2026 Gartner survey found 69% of buyers want a sales rep to validate the AI-generated insights and self-service quotes they've already assembled.
- A flawless document for a big committee. With 22 participants in a typical buying group (Forrester), a quote that needs correcting after the fact reopens the deal in front of a much larger audience.
- Proof before commitment. More than 60% of buyers demand a trial before purchasing complex software, rising to 78% for deals above $10 million (Forrester). Apply the same standard to CPQ vendors: insist on a sandbox with your real deal data.
Benefits of CPQ Software
A modern CPQ platform affects the three main revenue levers at once:
- Higher deal value: cross-sell and upsell logic prompts reps and partners with compatible add-ons in real time. See our guide to upselling vs. cross-selling for how to structure those offers.
- Protected margins: pricing guardrails and automated approvals keep discounts within policy without stalling deals in email threads.
- Faster cycles: guided configuration turns a complex product structure into a signature-ready proposal in minutes, which makes you the easiest vendor to buy from at quarter end.
Demand for CPQ keeps growing. The global CPQ software market is on track to reach roughly $3.63 billion in 2026, growing at a 15.74% CAGR to an estimated $7.55 billion by 2031, with cloud deployments already above 58% of the market (Mordor Intelligence). Manufacturing is a major driver: Deloitte's 2026 Manufacturing Industry Outlook found that 80% of surveyed manufacturing executives plan to invest at least 20% of their improvement budgets in smart manufacturing. If you sell configured products through dealers or distributors, our roundup of the best PRM software for manufacturing covers the partner side of that stack.
Standalone CPQ or CPQ Built Into Your PRM?
This is the question that settles most CPQ evaluations: buy a standalone CPQ and connect it to your partner tools, or choose a platform where CPQ and PRM (partner relationship management) software live together?
Choose standalone CPQ if you sell almost entirely direct, have few or no external partners, and need deep, specialized configuration logic, such as engineer-to-order manufacturing with tens of thousands of SKUs. Without a partner motion, a combined platform adds overhead you don't need.
Choose CPQ built into your PRM if resellers, distributors or system integrators touch revenue. When the two systems are separate, partners bounce between a portal for training, email for pricing requests and spreadsheets to build quotes, and deal registration becomes a manual step after the quote is done. On one platform, a partner configures a quote, registers the deal and sees their margin in one flow, while MDF and commissions and incentives attach to the same record.
Why this matters more in 2027. Companies generate roughly 20% of revenue through partners on average, rising to 30% or more for infrastructure vendors and companies above $250 million in ARR, and channel-sourced deals convert at about 25–35% versus 18–22% for marketing-led pipeline (PartnerInsight, citing ICONIQ's State of GTM 2025).
Rule of thumb: if partners drive, or should drive, more than 15–20% of revenue, evaluate CPQ and PRM as one buying decision. For a broader view of the partner platform market, see our comparison of the best PRM software in 2027.
The Top 5 CPQ Tools for 2027
We evaluated more than 30 vendors and ranked the top five on partner and channel quoting, AI agent readiness, implementation effort, pricing transparency and verified user reviews. Implementation risk deserves as much weight as features: Gartner's research shows that more AI does not automatically mean more productivity unless data and workflows are sound.
1. Journeybee
Best Overall for Partner-Led and Multi-Channel Growth
Journeybee is a partner relationship management platform with a native CPQ module, built for companies whose revenue runs through resellers, distributors and referral partners. Partners quote inside the same portal they use for deal registration, training and co-marketing, so pricing, pipeline and partner data stay in one system.
- Self-service partner quoting: guided selling and bundling rules stop partners from quoting incompatible configurations, while partner-specific discount rules keep every quote inside your margins.
- Automated approvals and branded proposals: exceptions route to the right approver, who can sign off from a phone, and partners send clean, branded PDF quotes.
- CRM-agnostic sync: an approved quote updates the deal stage in your CRM automatically. See the Salesforce and HubSpot integrations.
- Multi-tier ready: distributor management, multi-currency and regional tax logic support two-tier and global channels.
- Limitation: the platform evolves quickly, so confirm niche requirements, such as metered usage billing, in a sandbox before you commit.
- What customers are saying: "Most PRMs force you into a box, but Journeybee gave us the customisability to build the exact partner program we've always wanted, tailored perfectly to our multi-tier structure." — Tim Suwandhaputra, VP, GTM & Revenue Operations, Foresite Cybersecurity
2. Salesforce Revenue Cloud (Agentforce Revenue Management)
Best for Global Enterprises Standardized on Salesforce
Salesforce Revenue Cloud, also marketed as Agentforce Revenue Management, unifies pricing, quoting, contracting and billing on the Salesforce platform. It is the natural choice for global enterprises that already run sales on Salesforce and want one revenue system across many countries.
- Agentforce quoting: reps create initial, renewal and amendment quotes from simple prompts, and a product-selection subagent searches the catalog and asks clarifying questions.
- Deepest ecosystem: pricing, contracts, billing and CRM share one data model, and teams can quote directly in Slack.
- Limitation: complexity and total cost are high, and custom configurations need experienced admins and partners to stay stable.
- What the market is saying: "Sourcing quality talent or partners in both CPQ and Salesforce Billing can be challenging. We had a very difficult Salesforce Billing go live that was an uphill battle to get stabilized over the next 6 months." — Blake H., Sr. Director of Business Systems, Enterprise
3. HubSpot Revenue Hub
Best for High-Velocity SaaS Teams on HubSpot
HubSpot Revenue Hub, formerly Commerce Hub, brings quoting, billing and payments together in HubSpot CRM. It is the easiest CPQ on this list to adopt for SaaS and SMB teams that already run marketing and sales on HubSpot.
- AI-generated quotes: reps build quotes in minutes from CRM data, with templates, quote tracking and signable attachments.
- Quote Rules on Enterprise: compatibility, pricing and quantity rules block invalid product combinations and out-of-policy discounts.
- Limitation: configuration depth is limited for complex manufacturing, and advanced approvals require the Enterprise tier.
- What the market is saying: "Customized options for invoices and workflows could be deeper. Also, reporting around payments could be more flexible along with better analytics." — Shipra T., Product Designer, Small Business
4. Oracle CPQ
Best for Industrial-Scale Global Compliance
Oracle CPQ, built on the former BigMachines platform, remains the heavyweight for companies with enormous catalogs and engineer-to-order products. It prioritizes data integrity and configurability over interface polish.
- Scale and depth: handles very large bills of materials, and BigMachines Language (BML) supports bespoke hardware-software dependency logic.
- Safer configuration changes: Oracle's 2026 agentic tooling previews how pricing, BOM and approval changes will affect production before they go live.
- Limitation: the interface feels dated next to newer tools, and implementation is long and expensive.
- What the market is saying: "The initial configuration and setup can be complex, especially for businesses with a wide range of custom pricing rules... However, once properly configured, the platform is very stable and works reliably at scale." — Harish T., Customer Support, Enterprise
5. DealHub CPQ
Best for Collaborative Buyer Experience
DealHub positions itself as a quote-to-revenue platform covering CPQ, contracts, subscriptions and billing. Its interactive DealRooms replace static PDFs with a shared digital workspace for the whole buying committee.
- Interactive DealRoom: buyers and sellers share proposals, contracts and stakeholder content in one personalized workspace.
- Agent-ready: separate MCP servers for sellers and admins let teams create, version and approve quotes from MCP-compatible AI clients, within DealHub's governance rules.
- Limitation: some traditional procurement teams still expect a standard PDF, and pricing transparency is limited.
- What the market is saying: "Navigating large proposals or managing multiple integrations sometimes feels a bit cumbersome, which can slow down the process until you're fully accustomed to the platform." — Amarnath S., Business Development Executive, Enterprise
How to Choose CPQ Software in 3 Steps
A feature checklist and a scripted demo won't tell you whether a CPQ will work. Use this process instead.
Step 1: Map deal complexity and channel mix. Pull your last 20–30 closed-won deals and answer three questions: how many bundles, dependencies or configuration rules does a typical quote touch, how many stakeholders sign off, and what share of revenue closes direct versus through partners? With partners generating roughly 20% of B2B revenue on average (PartnerInsight), this usually settles the standalone-versus-PRM question. Our guide to building a sales process can help you map those stages.
Step 2: Run your hardest real deals through a live sandbox. Load your three most painful historical quotes, such as multi-currency deals, nested bundles, partner discount stacking and mid-term amendments, into a trial. Check that the platform blocks invalid configurations, calculates partner margins correctly and produces a signature-ready proposal in minutes.
Step 3: Score total cost, time-to-value and AI readiness. Compare realistic implementation timelines, per-user versus flat pricing as your partner base grows, and the cost of reconfiguring 12–18 months after launch. Then test agent readiness: can an AI agent create a quote through an API or MCP server, and can it ever break a discount rule? Use the checklist below as your scoring rubric.
CPQ Buyer's Checklist
Internal Enterprise Requirements
- Hybrid billing support: can one quote combine hardware fees, subscriptions and usage-based charges?
- AI-driven floor pricing: does the system warn reps when a discount exceeds what similar winning deals received?
- No-code agility: can RevOps manage the rules engine without waiting weeks for a developer?
Partner and Reseller Requirements
- Branded partner portals: partners should see their buy price, their margin and their own logo on the quote.
- Collaborative sales engineering: partners should be able to pull an internal sales engineer into a configuration in real time.
- Automated commission tracking: commissions or MDF should calculate the moment a quote converts to an order.
AI and Agent Readiness
- Agent access: does the vendor offer an API or MCP server so approved AI agents can create and update quotes?
- Non-negotiable guardrails: which pricing, discount and approval rules can no AI agent override?
- Audit trail: is every AI-generated quote and change logged, attributable and reversible?
Final Thoughts
Buying committees are bigger, buyers do most of their research alone, and AI agents are becoming part of how quotes are requested and built. Spreadsheet quoting can't keep up. The right CPQ gives you speed and accuracy, and, if partners matter to your revenue, the ability to scale partner quoting without scaling admin headcount.
See How Foresite Uses Journeybee CPQ
Foresite Cybersecurity runs a multi-tier channel of distributors, specialist resellers and referral partners. After moving from its legacy PRM, the team gave distributors Journeybee's native CPQ module to generate complex, accurate quotes directly in their Journeybee workflows, with deal registrations, partner records and pipeline syncing to Salesforce in real time. The result: more than 1,000 active partners, 40% less manual admin time for the channel team, and 30% faster time-to-first-revenue for new partners.
Read the full Foresite Cybersecurity customer story, explore Journeybee CPQ, or compare plans on the pricing page. To see partner quoting with your own price book, book a personalized demo.
