Agentic Commercial Pricing
Transform your entire quote-to-order process
Agentic AI that manages commercial pricing decisions autonomously.
Win faster, smarter, and more profitably
Optimize list prices, accelerate quotes, and win more tenders while maintaining optimal margins. Our Agentic Commercial Pricing solution learns from your best bids, continuously adapts to market conditions, and executes pricing decisions automatically freeing up your teams to focus on strategic growth. This isn’t just pricing optimization — it’s agentic intelligence applied to pricing that predicts market dynamics, decides optimal strategies, and executes pricing actions in real-time.
Under the hood
Built on Peak's proven Pricing AI foundation
This solution is underpinned by Peak’s Pricing AI product. It provides SKU and location-level price recommendations that find the perfect balance between customer demand and business goals that preserve margin and drive profit.
How Agentic Intelligence works
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Predict
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Decide
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Act
Predict: What's likely to happen?
AI analyzes your historical sales and pricing data to forecast customer demand and predict typical selling prices across different products, markets, and time periods. It calculates the probability of sales conversions at various price points and understands how price changes will impact demand for each product. This gives you clear visibility into pricing performance and market dynamics to inform your commercial strategy. Modules include:
Decide: What should we do about it?
Based on predictive insights, our AI recommends optimal pricing strategies that balance profitability with sales success. It suggests the best quote prices by finding the sweet spot between maximizing margins and winning deals, and optimizes your list prices to drive revenue growth. Every recommendation considers market conditions, competitive positioning, and your business objectives to ensure pricing decisions align with commercial goals. Modules include:
Act: Execute autonomously
AI agents automatically execute pricing decisions and support your commercial teams in real-time. They generate compelling bid responses that leverage winning strategies from past successes, apply optimal pricing directly to quotes through your existing CRM and CPQ systems, provide instant pricing guidance to customer service teams and customers, and assist with live negotiations by suggesting optimal price points. All actions operate within your approved parameters, with human oversight for complex scenarios. Agents include:
Enhanced with UiPath Agentic Automation
This solution utilizes UiPath Agentic Automation technologies to run agents and orchestrate workflows including communication with customers, human-in-the-loop exception management and data integration across disparate business systems.
Advanced UX in Agentic Commercial Pricing: transforming how users interact with and manage automated processes
Peak‘s solutions feature an agentic UX to help businesses optimize and manage their operations, from planning to exception management. By surfacing key tasks, delivering tailored insights, streamlining exception management, and guiding users with AI-powered recommendations, Peak’s agentic UX helps teams resolve issues faster, uncover deeper operational insights, and work more efficiently through personalized, user-specific experiences.
- Autopilot
- Custom homepage
- Canvas
- Agentic actions
Autopilot
Personalized AI assistant with a natural language conversational interface that leverages knowledge bases, custom actions, analytical visualizations and canvas outputs to help users automate tasks across roles from business users to developers.
Personalized agentic homepage
A personalized hub that highlights the most important agentic exception management tasks and provides smart agent suggestions and insights. Features insights into regional quote performance to help users monitor and optimize their commercial pricing strategies.
Canvas
User-specific experiences that deliver tailored insights, reports, and operational interfaces.
Agentic actions
Provides AI-driven guidance on the next best steps, utilizing agents to help users make smarter, faster decisions.
Autonomous pricing that delivers results
Transform pricing from reactive to predictive, manual to automated, at enterprise scale. Experience the power of agentic intelligence applied to pricing — analyzing market conditions, optimizing strategies, and executing decisions while you focus on growing your business.
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Maximize win rates with perfect pricing
AI learns from every bid and quote to continuously improve pricing strategies
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Increase revenue and profit margins automatically
Autonomous optimization ensures every pricing decision balances competitiveness with profitability
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Eliminate excessive discounting
Intelligent agents prevent margin erosion by applying optimal pricing rules consistently
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Scale pricing decisions without scaling teams
Automated execution handles thousands of pricing decisions daily without manual intervention
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Accelerate quote-to-order cycles
Real-time pricing decisions reduce response times and increase deal velocity
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Learn and adapt continuously
Agentic intelligence improves performance with every interaction, building institutional pricing knowledge
Demo: See Agentic Commercial Pricing in action
Within the new agentic solution for commercial pricing, the quote to order use case optimizes the entire workflow from the first customer request to order confirmation.
Businesses often suffer from reactive and complex pricing, impacting win rate and margin. With this solution, all prices within the quotes you see listed here are optimized to improve win rate and margin. They’re also optimized by territory, accounting for market and competitive conditions. This solution saves hundreds of employee hours every week, increases win rates by several percentage points, and significantly boosts margins.
The quote pricing app displays these key business performance KPIs at the top, and a territory or commercial manager can view aggregated trends on a map.
This demo starts with a procurement specialist working at a construction firm requesting a quotation for building materials. The buyer writes an unstructured email to request a quotation for specific materials for the project, looking for pricing and availability.
They send this email, and receiving this email triggers an agentic automation process in Maestro. The first activities fetch customer and product records and use these alongside the extraction agent to make sure we’ve got a valid inquiry and zoo. It checks if you need to clarify any details in the request. Once clarified, it sends the details of the quote off to peak. The AI optimizes all the prices within the quote to produce a fully optimized quote, and he would approval is needed on this quote based on price guardrails. Otherwise, it could be fully automated. We can click through on the optimized quote to see the details of the quotes.
And viewing the optimized quote, a salesperson could see the optimized prices, the negotiation ranges if they want to adjust, and the AI is optimized against customer likelihood to convert market price sensitivity, competitive pricing regionally, and any other customer specific optimization.
The optimized KPIs for this quote are shown at the top of the page. Once the user clicks approve, this kicks off the rest of the agentic automation process.
The automation is triggered again to send the quote email.
It retrieves the optimized quote data to process it to an email response.
The agent builds out the email response to the customer using historical information, the optimized quotes, and other relevant details to check if additional approval is needed.
For example, if the price or discount level requires a deal desk review, the flow will update the quote in pricing and business systems like CRM and CPQ systems.
The email response is then sent to the customer delivering a professionally formatted quote directly to their inbox.
Moments later, the customer can reply to confirm they’re happy with this quote, and this reply will be picked up by the Maestro Logintic Automation again.
The Maestro flow processes a quote acceptance response. It extracts the information from email, including the email chain and the product metadata. It checks if additional clarification is required. If not, the quote details are updated in the business system such as the ERP or CPQ system, as well as updating the quote response and peak. The final step is to generate the confirmation email, which is then sent directly to the user’s inbox.
The introductory guide to agentic AI for commercial pricing
This free guide explores how agentic AI is transforming commercial pricing for modern enterprises. You’ll learn how intelligent systems that predict, decide and act autonomously can help your teams price faster, protect margin and win more deals.