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.
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, integration, and analytics.
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, integration, and analytics.
-
Product Configuration Engine
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.
-
Discount Management & Approvals
Discount Management & Approvals
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.
-
Margin Intelligence & Leakage
Margin Intelligence & Leakage
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 & Intelligence
Pricing Analytics & 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 Pricing 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 into the configure-price-quote workflow, guiding reps to the optimal price based on data, not intuition. It handles product configuration, AI-guided deal pricing, discount approval routing, and quote assembly in one flow.
[ 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, retraining 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) and SaaS billing (Zuora, Chargebee, Stripe) 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 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, with AI-guided NPV and payment structure analysis for multi-year deals.
[ 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, model training on historical deals, parallel validation, phased go-live, and training. Prerequisites are 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 requests drop 15–25% as reps internalise guardrails, and deal desk capacity rises 3–5x without added headcount.
[ 9 ]
How does configure price quote software differ from standalone quoting software?
Standalone quoting software mostly assembles documents, while configure price quote software also enforces configuration rules and pricing logic before the quote is built. Bonami CPQ software combines both with AI-guided deal pricing and discount management, giving reps quoting speed with true CPQ margin protection.
[ 10 ]
Does the platform support price quote automation across the full quoting workflow?
Yes. The CPQ software automates configuration, pricing recommendations, discount approval routing, and quote assembly so price quote automation runs end to end. Approved quotes flow straight into DocuSign, Adobe Sign, or Conga and into billing systems, compressing quote cycles from days to minutes while keeping margin floors intact.
Global presence
