AI OPTIMIZATION
Find the right price, and prove it
Turn your pricing strategy, objectives, and guardrails into explainable guidance for list prices and live deals. Pricing teams stay ahead of market shifts. Sellers improve win rates, protect deal margin, and grow deal value, while finance can see how every recommendation was made.
Pricing is too important for guesswork
List prices lag changing cost, demand, and competitive conditions
Sellers face deal pressure without consistent pricing guidance
Finance cannot defend recommendations without visible logic and guardrails
WHAT IT IS
What is this, simply?
AI optimization across prices and deals
Pricefx AI Optimization turns your commercial objectives, pricing rules, and relevant market and business data into explainable guidance for list prices and customer deals. It helps teams evaluate tradeoffs, optimize within guardrails, and make more consistent pricing decisions at scale.
Businesses whose pricing decisions move real money
At enterprise scale, pricing teams cannot evaluate every product, segment, and deal by instinct alone. They need guidance that consistently balances commercial performance with financial scrutiny.
B2B enterprises setting list prices across large portfolios, segments, and regions
Commercial teams handling high deal volumes where discounting decides margin
Organizations that need AI recommendations finance and audit can defend
Pricing AI that shows its work
Built around your strategy
Built around your strategy
You define the objectives, commercial rules, and limits. Pricefx optimizes within them rather than imposing vendor defaults.
Explainable by design
Explainable by design
Teams can see the assumptions, inputs, objectives, and guardrails behind a recommendation, so they can review and defend the decision.
Designed for real commercial tradeoffs
Designed for real commercial tradeoffs
Pricefx helps teams weigh margin, revenue, win rate, and competitive position together, not optimize a single number in isolation.
AI use case 1
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What it finds
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What it suggests
Grailed pitchfork quinoa, yuccie fingerstache big mood activated charcoal sustainable. You probably have heard of them forage lo-fi stumptown drinking vinegar.
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Why it suggests it
Grailed pitchfork quinoa, yuccie fingerstache big mood activated charcoal sustainable. You probably have heard of them forage lo-fi stumptown drinking vinegar.
AI use case 2
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What it finds
Grailed pitchfork quinoa, yuccie fingerstache big mood activated charcoal sustainable. You probably have heard of them forage lo-fi stumptown drinking vinegar.
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What it suggests
Grailed pitchfork quinoa, yuccie fingerstache big mood activated charcoal sustainable. You probably have heard of them forage lo-fi stumptown drinking vinegar.
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Why it suggests it
Grailed pitchfork quinoa, yuccie fingerstache big mood activated charcoal sustainable. You probably have heard of them forage lo-fi stumptown drinking vinegar.
From your strategy to explainable guidance in five steps
Turn your objectives, pricing data, and guardrails into explainable guidance for list-price and deal decisions, refined over time with business feedback and performance results.
Define objectives and guardrails
Connect pricing data
Model segments and drivers
Evaluate and optimize options
Deliver explainable guidance
Optimize list prices and deal outcomes
Optimization creates value at every stage of pricing, from the list prices you set to the deals you negotiate.
Select an option below:
- Margin
- Growth
- Trust
Protect margin at both ends
Set segment-aware list prices within your strategy and guardrails, so margin is protected at the highest-leverage point in the price waterfall. At the deal table, floor, target, and stretch guidance keeps margin holding under pressure.
Win more and sell more
Factor where demand is heading into list prices, so you capture the upside when markets strengthen and protect volume when they soften. At the deal table, sellers see where they can compete without defaulting to unnecessary discounting, and product recommendations grow deal value and improve mix, not just close rate.
Defend every decision
Every recommendation shows its reasoning, from the objectives and inputs behind it to the guardrails applied. Sellers can use the guidance with confidence, and finance can sign off on it.
KEY FEATURES
Does this cover what I need?
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Centralized Price Repository
Eliminate version control issues and ensure one source of truth
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Centralized Price Repository
Eliminate version control issues and ensure one source of truth
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Centralized Price Repository
Eliminate version control issues and ensure one source of truth
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Centralized Price Repository
Eliminate version control issues and ensure one source of truth
The tools behind faster price execution
Bring pricing together in one place so teams can apply rules, model changes, route approvals, and move faster with more control.
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Centralized price repository
Eliminate version-control chaos and run from one source of truth for list, base, and customer prices.
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Rule-based pricing logic
Encode markups, indexes, and corridors as transparent rules — and have them recalculate automatically when costs or competitors move.
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Scenario simulation
Compare strategies side by side and see margin impact before any price goes live.
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Configurable approval workflows
Route any change through the right approvers, with audit trails finance can defend.
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Outlier & performance alerts
See price realization versus benchmarks. Catch underperforming strategies early — before they show up in the P&L.
KEY FEATURES
Does this cover what I need?
Vape typewriter umami DIY, iceland ascot 90's drinking vinegar tacos shabby chic. Blue bottle farm-to-table palo santo literally.
-
Centralized Price Repository
Eliminate version control issues and ensure one source of truth
-
Centralized Price Repository
Eliminate version control issues and ensure one source of truth
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Centralized Price Repository
Eliminate version control issues and ensure one source of truth
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Centralized Price Repository
Eliminate version control issues and ensure one source of truth
AI
Set Smarter Prices With AI
As teams move pricing out of spreadsheets and into centralized execution, Agents surface pricing risks and opportunities so teams can act faster, while AI Price Optimization provides continuous guidance to improve pricing decisions as market conditions change.
FEATURED AGENT
Product Cost Misalignment Agent
Product Cost Misalignment Agent
Product Cost Misalignment Agent detects where rising costs are no longer reflected in price, helping teams identify exposed products and protect margin before profitability erodes.
FEATURED AGENT
Discount Creep Agent
Discount Creep Agent
Discount Creep Agent identifies where discounts are gradually increasing across customers, products, or segments, helping teams catch margin drift before it becomes normalized.
FEATURED AI USE CASE
AI Price Optimization
AI Price Optimization
AI Price Optimization uses demand signals, pricing goals, and business constraints to help teams adapt pricing decisions as costs, competition, and market conditions change.
AI use case 1
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What it finds
Grailed pitchfork quinoa, yuccie fingerstache big mood activated charcoal sustainable. You probably have heard of them forage lo-fi stumptown drinking vinegar.
-
What it suggests
Grailed pitchfork quinoa, yuccie fingerstache big mood activated charcoal sustainable. You probably have heard of them forage lo-fi stumptown drinking vinegar.
-
Why it suggests it
Grailed pitchfork quinoa, yuccie fingerstache big mood activated charcoal sustainable. You probably have heard of them forage lo-fi stumptown drinking vinegar.
AI use case 2
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What it finds
Grailed pitchfork quinoa, yuccie fingerstache big mood activated charcoal sustainable. You probably have heard of them forage lo-fi stumptown drinking vinegar.
-
What it suggests
Grailed pitchfork quinoa, yuccie fingerstache big mood activated charcoal sustainable. You probably have heard of them forage lo-fi stumptown drinking vinegar.
-
Why it suggests it
Grailed pitchfork quinoa, yuccie fingerstache big mood activated charcoal sustainable. You probably have heard of them forage lo-fi stumptown drinking vinegar.
AI use case 3
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What it finds
Grailed pitchfork quinoa, yuccie fingerstache big mood activated charcoal sustainable. You probably have heard of them forage lo-fi stumptown drinking vinegar.
-
What it suggests
Grailed pitchfork quinoa, yuccie fingerstache big mood activated charcoal sustainable. You probably have heard of them forage lo-fi stumptown drinking vinegar.
-
Why it suggests it
Grailed pitchfork quinoa, yuccie fingerstache big mood activated charcoal sustainable. You probably have heard of them forage lo-fi stumptown drinking vinegar.
AI
How is this smarter than what I do today?
The Magic Module
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The Magic Module
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The Magic Module
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Select an option below:
- 1
- 2
- 3
AI
How is this smarter than what I do today?
What it finds
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What it suggests
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Why it suggests it
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Optimization for prices and deals
Optimize both the list prices you set and the deals you negotiate. Start quickly with five productized use cases built on proven pricing science, tailor them to your business, or bring your own models and rules into the same governed environment.
Every list price, set with confidence
Set stronger list prices that protect margin and stay ahead of changing demand.
List Price Optimization
Set segment-aware list prices that reflect business objectives, market conditions, and commercial guardrails.
Demand Forecasting
Factor expected demand into pricing decisions, helping teams anticipate market shifts rather than relying only on historical results.
Every deal, guided to a better outcome
Help sellers win more deals, protect deal margin, and grow deal value.
Win Rate Optimization
Show how price and deal attributes affect the likelihood of winning, helping sellers compete more effectively without unnecessary discounting.
Negotiation Guidance
Give sellers clear floor, target, and stretch guidance to protect margin while responding to the specifics of each deal.
Product Recommendations
Recommend relevant products and substitutions that create cross-sell and upsell opportunities and grow deal value.
CUSTOMER PROOF
Has this worked for companies like mine?
Congrats! You've just become a magician. This is the do-it-all module where you can let your creativity run wild.
$15M
margin in Year 1
A multi-national oil and gas major used AI Optimization to segment customers and products and set peer-based guardrails for deal guidance. Sellers saw deal scores rise 33% in four months, and the North American lubricants division delivered $15M of margin improvement in Year 1.
+13.1%
gross margin
A US automotive distributor uses AI Optimization to model the impact of price changes, cost adjustments, and inventory positions before pricing teams apply them. The program grew revenue 6.44% and improved gross margin 13.1%, three months from go-live to measurable impact.
Open integration, enterprise scale, and operational control
Pricefx connects with the systems and market data your business already relies on, and runs optimization at enterprise scale with the explainability, auditability, and governance enterprise teams expect. When your business needs it, your own pricing science runs in the same governed environment.
Connects with your ERP, CRM, market data, and enterprise systems
Handles complex inputs, objectives, and constraints at scale
Supports explainability, auditability, and enterprise governance
Pricefx can also connect to approved enterprise AI environments while keeping pricing logic, controls, and commercial governance in Pricefx.
Frequently asked questions
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What is AI price optimization and deal optimization software?
AI price optimization software helps businesses set stronger list prices across products, customers, and segments. Deal optimization software guides individual deals with win-rate insight, negotiation guidance, and product recommendations. Pricefx AI Optimization combines both in one platform, providing explainable guidance for the list prices you set and the deals you negotiate within your objectives and guardrails.
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What decisions can AI Optimization improve?
AI Optimization improves both list-price and deal decisions. It guides segment-aware list prices within your strategy and guardrails, then helps sellers improve win rates, protect deal margin, and grow deal value with explainable guidance on every deal.
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How is Pricefx different from generic AI or a predictive model?
Pricefx AI is different because it is built specifically for commercial pricing decisions. It combines pricing science, optimization logic, business rules, and governance to recommend actions against your objectives and constraints, not to simply generate a prediction or answer. That is why pricing, sales, and finance teams can review, trust, and defend every decision.
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What does “explainable” mean in practice?
Explainable AI means teams can see the objectives, inputs, assumptions, and guardrails behind each recommendation. That visibility helps pricing review the logic, sellers defend the guidance, and finance understand projected impact before a change is applied.
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Can pricing and finance review or override a recommendation?
Yes. Pricing and finance teams can review, question, and override AI recommendations before acting. Pricefx AI supports commercial judgment rather than replacing it. Teams can see the rationale behind each recommendation, apply their commercial expertise, and make the final decision within the rules and controls their business has established.
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What objectives and guardrails can we configure?
You can configure the commercial objectives, pricing rules, and limits that govern each recommendation. These may include margin floors and targets, competitive positioning, segment strategies, and approval thresholds. Pricefx AI Optimization works within the parameters your business defines.
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Can we start with a productized use case and extend it later?
Yes. You can start with a proven use case for a common pricing or deal decision, tailor it to your business, and extend it over time. You can also bring your own pricing science, models, and business rules into the same governed environment when you need a more specialized approach.
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What data is needed for list price versus deal optimization?
List-price optimization typically uses product, cost, market, and transaction data. Deal optimization also draws on quote and win-loss history so recommendations reflect how deals actually perform. In both cases, Pricefx works with the commercial data your business already has.
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How does AI Optimization work with Agents?
Pricefx Agents identify and prioritize where margin risk or upside exists. AI Optimization then helps teams determine the best pricing action within their objectives and guardrails. Together, they connect early detection with informed pricing decisions.
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Will it work in our enterprise environment?
Yes. Pricefx AI Optimization connects with the ERP, CRM, and market data your business already uses, and runs at enterprise scale with the security, auditability, and governance enterprise teams require. It can also connect with approved enterprise AI environments while keeping pricing logic, commercial rules, and controls in Pricefx.
See AI Optimization in action
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VIDEO
See Pricefx Deal Optimization in action
VIDEO
See Price Optimization in action
ANALYST REPORT
2026 Gartner® Magic Quadrant™ for B2B Pricing and Rebates Optimization Software
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