Win-Rate Pricing — Not Gut-Feel Discounting
Most enterprises discount inconsistently, not excessively. The AI advisor enforces win-rate pricing grounded in your actual historical deal outcomes, regardless of rep or region.
AI CPQ & Pricing Advisor
AI CPQ software for product configuration, AI-guided deal pricing, discount management, and quote generation across every opportunity.
Book Your Free Demo
See it working on your own workflows. We reply within 24 hours.
Trusted by startups and global leaders
Why Choose Bonami's AI CPQ Pricing Advisor
Pricing inefficiency costs enterprises 2–4% of revenue, and 30–40% of list price is lost to undocumented discounts. CPQ-optimised firms achieve 48% higher quote-to-close rates — and a 1% price improvement alone delivers 8–11% operating profit uplift.
Deal Desk in Seconds — Not Days
A discount request typically means a Slack thread and a 1–3 day wait — often when the customer is ready to sign. The AI advisor auto-generates deal context for approvers and enforces SLA escalation so deals never stall.
Consistent Margin Protection Across Every Rep, Region, and Channel
Pricing inconsistency can't be fixed through training alone. The AI advisor embeds margin protection into the quoting workflow — every exception visible, documented, and logged.
Core Capabilities of the AI CPQ Pricing Advisor
Six capability pillars — product configuration, AI-guided pricing, discount management, margin intelligence, system integration, and pricing analytics — deployed in production across technology, manufacturing, SaaS, professional services, and industrial sales.
Guides reps through valid product and service combinations — enforcing compatibility rules, required components, minimum quantities, and bundling constraints in real time.
Analyses every deal in context — customer segment, product mix, competitive signals, and deal stage — to recommend the price that maximises win probability while protecting margin floor.
Enforces discount guardrails by product line, customer segment, deal size, and rep authority — preventing margin-destroying concessions without adding manual review friction for every quote.
Every quote displays real-time gross margin, contribution margin, and deal profitability as the rep configures — making the margin consequence of every discount decision visible before it is offered.
Native connectors for Salesforce CPQ, Microsoft Dynamics 365, HubSpot, Oracle CPQ, SAP S/4HANA, and NetSuite — bi-directional sync of opportunities, quotes, orders, and customer account data.
Revenue operations dashboard showing ASP trends, discount frequency and depth by rep and region, quote-to-close rates, deal velocity, and margin realisation versus target across every product and customer segment.
Core Capabilities of the AI CPQ Pricing Advisor
Six capability pillars — product configuration, AI-guided pricing, discount management, margin intelligence, system integration, and pricing analytics — deployed in production across technology, manufacturing, SaaS, professional services, and industrial sales.
-
Intelligent Product Configuration Engine
Intelligent Product Configuration Engine
Guides reps through valid product and service combinations — enforcing compatibility rules, required components, minimum quantities, and bundling constraints in real time.
-
AI-Guided Pricing & Deal Optimisation
AI-Guided Pricing & Deal Optimisation
Analyses every deal in context — customer segment, product mix, competitive signals, and deal stage — to recommend the price that maximises win probability while protecting margin floor.
-
Automated Discount Management & Approval Workflow
Automated Discount Management & Approval Workflow
Enforces discount guardrails by product line, customer segment, deal size, and rep authority — preventing margin-destroying concessions without adding manual review friction for every quote.
-
Real-Time Margin Intelligence & Revenue Leakage Detection
Real-Time Margin Intelligence & Revenue Leakage Detection
Every quote displays real-time gross margin, contribution margin, and deal profitability as the rep configures — making the margin consequence of every discount decision visible before it is offered.
-
CRM, ERP & Contract System Integration
CRM, ERP & Contract System Integration
Native connectors for Salesforce CPQ, Microsoft Dynamics 365, HubSpot, Oracle CPQ, SAP S/4HANA, and NetSuite — bi-directional sync of opportunities, quotes, orders, and customer account data.
-
Pricing Analytics & Commercial Intelligence
Pricing Analytics & Commercial Intelligence
Revenue operations dashboard showing ASP trends, discount frequency and depth by rep and region, quote-to-close rates, deal velocity, and margin realisation versus target across every product and customer segment.
40% of List Price Lost to Discount Leakage — Deal by Deal.
For a $100M enterprise, that's $20M–$40M of avoidable erosion. Bonami deployments deliver 3–8% ASP improvement and 30–48% higher quote-to-close rates, with quote cycles compressed from days to minutes. Book a pricing optimisation assessment.
Get Your Pricing Optimisation Assessment
Award-Winning AI Development & Consulting
100 Fastest Growth Companies
Global Spring Winner
Top App Development Company
AWS Partner Network
Google Cloud Partner
Highly Rated on Trustpilot
Verified Agency
Top App Development Company
ASSOCHAM Member
Frequently Asked Questions
[ 1 ]
What is an AI CPQ Pricing Advisor?
An AI CPQ Pricing Advisor embeds pricing intelligence directly into the configure-price-quote workflow — guiding reps to the optimal price based on data, not intuition. It handles four functions simultaneously: intelligent product configuration, AI-guided deal pricing, discount approval routing, and automated quote assembly.
[ 2 ]
How does the AI win-rate pricing model work?
The model trains on your historical closed deals — wins and losses — analysing segment, product mix, price quoted, discount depth, and competitive signals. When a new quote is built, it scores the proposed price and returns a win probability, recommended price range, and expected margin. The model retrains continuously as new deals close.
[ 3 ]
Which CRM and CPQ systems does it integrate with?
Certified connectors cover Salesforce CPQ/Revenue Cloud, Microsoft Dynamics 365, HubSpot, Oracle CPQ, SAP S/4HANA, and NetSuite. E-signature (DocuSign, Adobe Sign), SaaS billing (Zuora, Chargebee, Stripe), and legacy systems connect via REST API — typically live within 2–3 weeks.
[ 4 ]
How does the discount approval workflow operate?
Discounts within a rep's authority proceed without approval; those crossing thresholds auto-route to the right approver with full deal context — proposed vs. recommended price, margin, win probability, and an AI-generated recommend/reject decision. Unactioned approvals escalate on SLA, and every action is logged.
[ 5 ]
Can it handle complex product configurations and multi-year deal structures?
Yes. The engine supports modular SaaS bundles, manufactured variants, professional services rate cards, multi-year subscriptions with uplift, and bundled hardware-software-services packages. Multi-year deals include AI-guided NPV and payment structure analysis to support commercial and approval conversations.
[ 6 ]
How does it support channel and partner pricing?
The advisor maintains separate pricing tiers, discount structures, and margin floors for each partner tier — reseller, VAR, distributor, SI — enforced through the same workflow as direct sales. Partner quotes include deal registration, co-sell discounts, and protection pricing automatically.
[ 7 ]
How long does implementation take?
Standard implementation runs 6–10 weeks: integration and rules ingestion (Weeks 1–2), model training on historical deals (Weeks 3–5), parallel validation (Weeks 6–7), phased go-live (Weeks 8–9), and training (Week 10). Prerequisites: CRM/ERP API access, 200+ closed opportunities with pricing data, and a RevOps project sponsor.
[ 8 ]
What ROI can we expect from deploying an AI CPQ Pricing Advisor?
Bonami deployments show 3–8% ASP improvement within 90 days — equivalent to $3M in operating profit for a $100M revenue business. Discount request volume drops 15–25% as reps internalise guardrails, and deal desk capacity increases 3–5× without added headcount. Most clients recover full implementation cost within the first production quarter.
Global presence