Maximize win rates with perfect pricing
AI learns from every bid and quote to continuously improve pricing strategies.
Put intelligent agents and powerful AI models to work across your entire quote-to-order process with the UiPath Solution for commercial pricing.
UiPath Solution for commercial pricing
Put intelligent agents and powerful AI models to work across your entire quote-to-order process with the UiPath Solution for commercial pricing.
The UiPath Solution for commercial pricing brings together agentic AI, high-performing models, and built-in governance so AI agents can take on the work that slows pricing teams down. Delivered with the UiPath Platform's market-leading agent orchestration, governance, and enterprise automation, the solution predicts market shifts, decides optimal strategies, and executes too. Quotes move at market speed, tenders win more often, and your teams focus on revenue instead of repetitive tasks.
Ready to deploy
Put agentic quote pricing to work as a governed solution your sales and pricing teams can adopt fast. It responds to requests for quotation with optimized, data-driven prices that protect margin.
Ready to deploy
Win more RFQs with faster, margin-smart quotes.
AI models estimate conversion probability across a range of prices and recommend the right price for every quote, so reps respond to RFQs in minutes while protecting margin.
- Increase win rates
- Maximize revenue and margin
- Reduce excessive discounting
- Gain a competitive edge
The UiPath Solution for commercial pricing turns pricing from reactive and manual to predictive and automated. An end-to-end, ready-to-perform solution that analyzes markets, optimizes strategies, and executes decisions while your team focuses on growth.
AI learns from every bid and quote to continuously improve pricing strategies.
Autonomous optimization ensures every pricing decision balances competitiveness with profitability.
Intelligent agents prevent margin erosion by applying optimal pricing rules consistently.
Automated execution handles thousands of pricing decisions daily without manual intervention.
Real-time pricing decisions reduce response times and increase deal velocity.
Agentic intelligence improves performance with every interaction, building institutional pricing knowledge.
Coordinated AI capabilities that forecast the market, recommend the right price, and execute end-to-end across your CRM and CPQ platforms.

AI forecasts market prices, demand elasticity, and conversion probabilities for every pricing scenario.
Price elasticity by SKU and region
Sales probability for each quote
Demand outlooks by customer segment

AI recommends optimal quote prices and list prices that maximize both win rates and profitability.
Margin-balanced quote recommendations
Business rules and approval guardrails
Human-in-the-loop (HITL) exception management

AI agents autonomously generate winning bids, optimize quotes in real time, and support live negotiations.
Quote Optimization Agent inside CRM and CPQ platforms
Customer Service Agent for live pricing guidance
End-to-end quote-to-order execution

AI forecasts market prices, demand elasticity, and conversion probabilities for every pricing scenario.
Price elasticity by SKU and region
Sales probability for each quote
Demand outlooks by customer segment

AI recommends optimal quote prices and list prices that maximize both win rates and profitability.
Margin-balanced quote recommendations
Business rules and approval guardrails
Human-in-the-loop (HITL) exception management

AI agents autonomously generate winning bids, optimize quotes in real time, and support live negotiations.
Quote Optimization Agent inside CRM and CPQ platforms
Customer Service Agent for live pricing guidance
End-to-end quote-to-order execution

A conversational AI assistant that uses knowledge bases, custom actions, and visualizations to automate tasks for business users, developers, and beyond.
A hub that highlights the most important pricing exceptions and surfaces smart agent suggestions plus regional quote-performance insights.
User-specific experiences that deliver tailored insights, reports, and operational interfaces for each role on the pricing team.
AI-driven guidance on the next best steps, using agents to help people make smarter, faster decisions inside live deals.
Every UiPath Solution is built on the same platform that orchestrates agents, robots, and people across your business.
E-book
See how AI that predicts, decides, and acts transforms commercial pricing across your quote-to-order process.
How agentic pricing works, where AI adds value across quote-to-order, and what to expect when evaluating agentic pricing software.
Agentic pricing is a category of pricing automation in which AI agents predict market conditions, decide on optimal prices, and act on those decisions inside your existing CRM and CPQ platforms. It moves pricing teams from rule-based engines and dashboards into a model where governed agents own the routine pricing decisions and surface exceptions for human judgment.
Unlike dynamic pricing (which tunes prices on a schedule) or rule-based pricing engines (which apply fixed business logic), agentic pricing combines AI forecasting, decision recommendations, and autonomous execution inside one governed workflow.
Agentic pricing software runs three coordinated capabilities. First, forecasting models predict demand elasticity, market prices, and sales probability for each pricing scenario. Second, decision models recommend quote and list prices that balance win rate with margin protection, applying business rules and guardrails. Third, AI agents execute the decisions inside your CRM and CPQ platforms, raising exceptions for human approval where the guardrails require it.
The UiPath Solution for agentic commercial pricing wraps all three steps in the platform's agent orchestration, governance, and human-in-the-loop controls.
Vendor pricing for agentic AI platforms typically combines a platform fee with consumption-based components tied to the work agents perform. Common dimensions include per-agent licensing, per-action or per-outcome pricing, and consumption metrics like tokens or inferences.
For UiPath-specific pricing details and how the agentic platform is licensed, see the official UiPath pricing page.
Dynamic pricing adjusts prices in response to demand signals on a defined schedule or trigger. Agentic pricing goes further: AI agents not only adjust prices but also reason about why a particular price is optimal, recommend supporting rationale to sellers, and execute the price change inside the systems where deals are won and lost.
The result is faster cycles, more consistent margin protection, and continuous learning from quote and bid outcomes.
For manufacturers, agentic pricing has the biggest impact on B2B quote and tender workflows where deal cycles are long, list-to-net waterfalls are complex, and discounting decisions are spread across many sellers. AI agents handle quote generation, optimize live negotiations, manage list-price-to-net-price waterfalls, and apply supplier rebate logic consistently across regions.
Pricing leaders, commercial-ops directors, and category managers typically see the fastest results in quote-to-cash velocity and margin recovery.