PRICEFX AI
AI built for pricing decisions
Pricing is one of the few decisions where a single point of margin shows up in the P&L. Pricefx AI is built to that standard: recommendations grounded in your pricing data, governed by the commercial rules you set, and explainable to everyone who has to sign off.
A decade of pricing AI innovation
Pricefx has been building AI for pricing since before the market noticed. For more than a decade, we put explainability and governance at the heart of making AI safe to use where margin is made.
2017
Productized AI Optimization
Pricefx made AI-driven price optimization a core product capability, years before the broader market made AI a pricing priority, bringing machine learning directly into list price and deal decisions.
2020
Deeper pricing science
Pricefx acquired Brennus Analytics, adding advanced modeling techniques that handle the complexity of real pricing behavior across thousands of products and customers. We also became the only SAP Endorsed App for pricing.
2025
Agents and BYO AI assistant via MCP
We launched Pricefx Agents to monitor pricing continuously and surface prioritized action, introduced Pricefx Copilot, and opened the Platform so customers can connect their own approved enterprise AI assistant.
2026 and beyond
AI to configure and interact with Pricefx
We're accelerating our AI roadmap with the Pricefx AI Toolkit, cutting the time it takes to configure and implement pricing, and continuing to make Pricefx easier to explore in natural language.
WHAT IT IS
What is this, simply?
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 three types of AI powering Pricefx
"AI" covers a lot of different technologies. Three types of AI technology matter for pricing, and each performs a very different job. Understanding the flavors is the difference between AI that sounds impressive and AI you can put in front of finance.
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Predictive & prescriptive AI
Predictive AI estimates what is likely to happen while prescriptive AI recommends what to do based on that understanding. Machine learning models study your pricing history, transactions, and market context to find patterns a person would not spot across thousands of products and customers, then estimate likely outcomes: how a customer responds to a price change, how likely a deal is to close at a given price, where volume will move if you adjust. Those estimates are the inputs to a pricing decision, not the decision itself.
Prescriptive AI takes the next step. It uses Pricefx's Adaptive Multiagent System (AMAS) optimization approach to leverage those predictions, with the context of your goals and constraints, and generate an optimized recommendation — the specific price, deal terms, or action to take. Pricefx has been successfully providing predictive and prescriptive AI for pricing since 2017.
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Generative AI
Generative AI helps people work with the system in plain language. It uses learned context to answer questions about your pricing data, drafts rules, workflows, and dashboards, and lets teams explore recommendations by asking instead of clicking. This is an interaction and configuration layer, not the pricing brain. Generative AI is what makes Pricefx faster to configure and easier to explore. It is not what calculates your prices.
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Agentic AI
Agentic AI works continuously in the background. Instead of waiting to be asked, Agents monitor pricing, transactions, and workflows, spot the issues that matter, prioritize them by business impact, and bring the right people a recommended next step. Agents operate inside the guardrails your business sets and escalate to a person when a decision needs judgment. They find and prioritize the work. Your teams decide what to do.
The infrastructure for trusted pricing AI
A powerful model is not enough to price well. AI needs pricing data it can trust, rules it follows, and a way to work with the tools your business already uses. Those three things are what make an AI recommendation something your team can act on.
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Pricing data it understands
AI without pricing context is just math. Pricefx AI uses your proprietary data but runs on a foundation built for pricing decisions: every quote, contract, price list, and negotiation, connected to customer, product, and market context, accumulated over years and through diverse enterprise deployments. Generic AI has to learn pricing on the fly from data that was never shaped for it. Pricefx AI already understands pricing before it ever sees your data.
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Rules your business sets
Your pricing strategy becomes the rules the AI has to work within. Objectives, guardrails, floors, and approval thresholds are all defined by you, and every recommendation is checked against them before anyone sees it. The result is a recommendation with its reasoning attached: what it is based on, what limits applied, and why. That is what makes pricing explainable to finance and auditable after the fact.
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Open to your tools
Pricefx connects to the systems your business already runs, ERP, CRM, and your data sources, and to enterprise-approved AI assistants like Microsoft Copilot, Claude, and ChatGPT. You don't have to replace what works or adopt a new AI tool to get value from Pricefx AI.
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.
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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
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
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What it suggests
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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.
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.
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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
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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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AI
How is this smarter than what I do today?
What it finds
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What it suggests
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AI that finds and guides the right price
Pricefx AI Optimization is used by dozens of businesses to generate price recommendations on a global scale today. It guides the list prices you set and the deals you negotiate. It works in three steps you can inspect.
Machine learning algorithms study your pricing history and market context to estimate what is likely to happen: how price-sensitive a customer is, how likely a deal is to close at a given price, and where volume moves when you adjust pricing.
Optimization takes those estimates and weighs them against the objectives you set, whether that's protecting margin, defending share, or growing revenue, inside the guardrails and floors you've defined. It evaluates the tradeoffs and recommends the action that best serves your goals without breaking your rules.
The recommendation arrives with its reasoning attached, so a pricing manager can review the logic, a seller can defend the number to a customer, and finance can see how it was reached before it gets deployed.
Continuous monitoring and prioritized action
Pricefx Agents continuously watch pricing, transactions, and workflows, so margin problems and business opportunities surface while there is still time to act. When an Agent finds something, like margin leaking on a customer, disparity in discounts across similar products or customers, or a price that hasn't kept up with cost, it prioritizes the finding by business impact and delivers a recommended next step. Agents find and prioritize the work. Your teams decide what to do about it.
AI that speeds up platform configuration, and time to value
Pricing software has a reputation for long implementations. The Pricefx AI Toolkit changes that paradigm. Today, the Toolkit can be used to build working dashboards directly from your own data model, and to configure Agents. Your team reviews and adjusts, rather than building from scratch. More of the platform comes into scope through 2026.
Connect your approved AI assistant to Pricefx
Many enterprises have already chosen a trusted AI assistant. Pricefx is built to work withthat choice rather than compete with it. Connect an approved enterprise assistant such as Claude, Microsoft Copilot, or ChatGPT to Pricefx through MCP (Model Context Protocol), and your teams can explore pricing context, retrieve answers, and interrogate pricing data in plain language, without learning a new tool or leaving the assistant they already prefer.
The assistant sits on top, with business context that you control. Pricefx provides the governed pricing system underneath, holding the data, the rules, and the audit trail. The assistant helps your people ask better questions and get to answers faster. It does not become your pricing engine, and it does not decide your prices. Access is controlled by the same permissions and governance that apply everywhere else in Pricefx.
Use an AI assistant built into Pricefx
Not every team has a preferred enterprise AI assistant, and no one should have to buy one to get started. Pricefx Copilot is built into the platform and available from day one. It helps pricers and analysts ask questions about their pricing data, explore context, and find what they need without building a report first. Same idea as connecting your own assistant, with nothing to procure.
AI you can trust with your margin
Pricing moves real money, so every recommendation has to hold up to finance, to the board, and to the rep at the deal table.
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Explainable and governed
Every recommendation shows its reasoning, from the objectives and inputs behind it to the guardrails applied, and stays governed by your commercial rules. Pricing stays explainable and auditable as AI becomes part of the decision.
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Built for pricing, not bolted on
Pricefx AI runs inside the platform where pricing actually happens, backed by more than fifteen years of pricing science, not a generic AI layer added on top of someone else's product. You define the objectives and business guardrails. Pricefx optimizes within them.
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AI with intention
Every AI use case we pursue, in our products and in our own operations, is designed to deliver real value, minimize adverse outcomes, and comply with applicable ethics standards and law. That means deploying AI only within safety zones we understand, keeping your data private and never using it to train models for anyone else's benefit, and holding every vendor we engage to the same level of scrutiny we hold ourselves to. For Pricefx, AI use cases and innovations are never an afterthought.
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People stay in control
AI finds risk and opportunities, guides prices, and recommends action. Your teams decide what to do, and enterprise systems execute.
USER REVIEWS
CUSTOMER PROOF
Has this worked for companies like mine?
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"Pricefx has significantly streamlined our pricing processes and boosted our profitability. I appreciate the comprehensive suite of tools that cover the entire pricing lifecycle, the AI-powered insights that help maximize margins, and the cloud-native platform that ensures quick implementation and easy scaling"
- Ahmed Z., Business Analyst
"I appreciate Pricefx's AI capabilities, which allow for analysis on vast historical data and customer behavior to provide optimized solutions."
- Ankit J., Senior Software Engineer
“Pricefx offers a truly flexible and scalable cloud-based pricing solution that helps us manage all aspects of price optimization and execution. The platform is intuitive, modular, and fast to deploy compared to traditional pricing systems. The integration capabilities with ERP and CRM systems (like SAP and Salesforce) are seamless, and the UI is clean and user-friendly.”
- Davide C., Head of Sales
Frequently asked questions
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What does Pricefx AI actually include?
Four things, each doing a different job. AI Optimization guides the list prices you set and the deals you negotiate. Agents monitor pricing continuously and bring your teams prioritized findings and recommended actions. The AI Toolkit makes Pricefx faster to configure and implement. And generative AI gives your teams a natural-language way to explore pricing data and ask questions, either through an enterprise AI assistant you connect yourself or through Pricefx Copilot, which is built into the platform.
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What is available today, and what is still expanding?
Pricefx AI Optimization, Pricefx Agents, and Pricefx Copilot are available and in production today, running across pricing decisions at global scale. The AI Toolkit and the ability to connect and connect an enterprise AI assistant through MCP are being released to early adopters, and expanding through 2026. We label these honestly because pricing teams make investment decisions on them.
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Does Pricefx AI change prices or make decisions on its own?
No. Pricefx AI finds what needs attention, estimates likely outcomes from changes, and recommends actions. People decide, and enterprise systems execute. Everything operates within the objectives, guardrails, and approval rules your business sets, and anything that would cross a limit you've defined is blocked or escalated rather than acted on.
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Can we use the AI assistant we already have?
Yes. If your business has approved an enterprise assistant such as Claude, Microsoft Copilot, or ChatGPT, you can connect it to Pricefx through an open interface and use it to explore pricing context, retrieve answers, and interrogate pricing data in plain language. The assistant sits on top; Pricefx provides the governed pricing system underneath, holding the data, the rules, and the audit trail. The assistant helps your people ask better questions and test scenarios, it does not become your pricing engine. If you'd rather not connect your own, Pricefx Copilot is built in.
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Is this just a large language model applied to pricing?
No, and the distinction matters. Machine learning models what is likely to happen, such as how price-sensitive a customer is or how likely a deal is to close at a given price. Optimization takes those estimates and recommends the best action within the objectives and guardrails you've set. Generative AI is separate: it's how your teams ask questions, explore, and configure faster. The pricing decision science is machine learning and optimization working together. Generative AI is the way people interact with it.
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How is a recommendation explained and governed?
Every recommendation arrives with its reasoning attached: what it's based on, which objectives it's serving, and which guardrails were applied. A pricing manager can review the logic, a seller can defend the number to a customer, and finance can see how it was reached before it's applied. Recommendations are checked against your rules before anyone sees them, and decisions are logged so pricing stays auditable after the fact.
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Does Pricefx use our data to train its AI models?
No, Pricefx does not use customer data to train shared or foundation models. Pricefx also does not pool customer data across tenants or expose one customer’s data to other users of the platform.
Some Pricefx AI Optimization capabilities may use your data to train customer-specific models. Those models are operated separately for your organization, and their outputs are provided only to you. Any other permitted use of AI inputs or outputs is governed by the applicable contract and Product-Specific Terms.
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How much pricing AI experience does Pricefx actually have?
Pricefx began productizing AI-driven price optimization in 2017, years before AI became a pricing priority for the broader market. Since then, we have been building on it, including acquiring Brennus Analytics in 2020 to deepen how we model real pricing behavior across thousands of products and customers. Pricefx AI leverages deep pricing and science expertise built over fifteen years and hundreds of cross-industry enterprise deployments. This is pricing AI built over a decade, not generic AI packaged on top of pricing software.
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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 Pricefx AI in action
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