Agentic Merchandising
Agentic AI that manages merchandising decisions autonomously
Transform your entire merchandising operation with intelligent automation that optimizes every decision, from supplier to store shelf.
The next era of merchandising, automated
Agentic Merchandising revolutionizes how retailers manage their complete merchandising lifecycle, turning complex inventory, pricing, and promotional decisions into seamless, profit-maximizing operations that adapt in real-time to market conditions.
It creates an integrated intelligence layer that orchestrates your entire merchandising ecosystem. This isn’t just merchandising management — it’s Agentic Intelligence applied to your existing operations. It balances revenue, margin, and inventory goals while optimizing product lifecycle management from buying through allocation to markdown, without adding operational complexity.
Under the hood
Built on Peak's proven Inventory AI and Pricing AI foundations
Our Agentic Merchandising solution is underpinned by two core Peak products. Inventory AI, leveraged by retailers to minimize excess inventory and missed sales, reduce shipping costs and maintain a healthy working capital. This is combined with Pricing AI, which provides SKU-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 patterns in your sales data, market trends, and external factors to forecast future customer demand for every product at every location. It predicts how price changes will affect sales and determines the optimal safety stock needed to prevent stockouts while minimizing excess inventory. This gives you a clear picture of what to expect across your entire product portfolio. Modules include:
Decide: What should we do about it?
Based on the predictions, AI recommends specific actions to optimize your merchandising performance. It determines ideal inventory levels, suggests when and how much to reorder from suppliers, recommends which products to promote and when, and identifies which items should be marked down for clearance. Every recommendation is tailored to your specific business constraints, goals, and guardrails. Modules include:
Act: Execute autonomously
AI agents automatically execute the recommended actions without manual intervention. They negotiate with suppliers and place purchase orders, manage existing orders and make necessary changes, automatically replenish stores to maintain optimal stock levels, and handle promotional campaigns from planning to execution. Human oversight is maintained through configurable guardrails that trigger manual approval when needed. Agents include:
Enhanced with UiPath Agentic Automation
The Rebuy, Replenishment and PO agents utilize UiPath Agentic Automation technologies to run agents and orchestrate workflows including communication and negotiation with external partners, human-in-the-loop exception management and data integration across disparate business systems.
Advanced UX in Agentic Merchandising: 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 for merchandisers that highlights the most important agentic exception management tasks and provides smart agent suggestions and insights. It features prioritized actions tailored to individual users to assist with their specific operational needs.
Canvas
User-specific experiences that deliver tailored insights, reports, and operational interfaces.
Agentic actions
The UX provides AI-driven guidance on the next best steps, utilizing agents to help users make smarter, faster decisions. This facilitates the replenishment and rebuy process for Agentic Merchandising, seamlessly handing off tasks to agents and managing outcomes to optimize purchasing workflows.
Autonomous merchandising that maximizes performance
Transform merchandising from reactive to predictive, manual to automated, across your entire retail operation. Experience the power of Agentic Intelligence applied to merchandising operations — analyzing market dynamics, optimizing strategies, and executing decisions while you focus on growing your business.
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Intelligent inventory optimization
Balance stock levels across supplier, DC, and store to minimize cost while maximizing availability and customer satisfaction
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Dynamic pricing in real time
Real-time pricing and promotional strategies that optimize revenue and margin based on market conditions and competitive landscape
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Strategic markdown execution
Optimize timing and pricing for inventory clearance while protecting margins and preserving brand value
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Enhanced buying intelligence
Forecast demand patterns and allocate inventory to maximize sales potential while minimizing waste across your product portfolio
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Business-aligned decision making
Customizable business rules and guardrails ensure all automated decisions align with your specific brand standards, compliance requirements, and strategic objectives
Demo: See Agentic Merchandising in action
Introducing
Overview of Agentic Merchandising
Agentic Merchandising, which covers the entire merchandising and buying process from pre season planning through trading and into end of season decisions. This innovative
Benefits of the New Product
new product helps retailers move faster, act with confidence, and stay in control at all points throughout the season.
Core Components of Agentic Merchandising
Merchandisers and buyers currently have a difficult job that’s often stuck in spreadsheets.
AI-Powered Recommendations
They must manage the full product life cycle from pre season planning all the way through to end of season clearance, but often don’t have the right tools
Intelligent AI Forecasting
or data to do this quickly or the time to do this proactively.
Allogenic merchandising solves this problem for retailers, optimizing the merchandising life cycle from supply and negotiations all the way through the store. At the foundation, we have peaks, AI products, inventory, and pricing. These generate
Agentic Workflows with Maestro
AI powered recommendations such as how much stock should I buy, where should I place my
Integration of UiPath’s Automation
stock, or what should I mark my products down to.
Powered by intelligent AI forecasting,
Automating Purchase Orders
optimization, and elasticity models, these enable inventory and pricing decisions to all be made in one place. This generates significant ROI, such as an estimated twenty percent time saving for every merchandiser, reduction in overstocking,
User Decision Support
and improved margin.
Layered on top of these recommendations will be agentic workflows
Maestro’s Operational Steps
powered by Maestro.
The combination of Maestro and Peak enables
Email Communication with Suppliers
many of these processes to be automated, such as placing a purchase order.
Here, a rebuy agent could submit a purchase order for us. However, it’s recognized that this particular recommendation is over
Supplier Response Management
the cost threshold. It raises this to the user who can then utilize the agentic workflow for decision
Negotiation Process
support.
Here, we can see the steps that Maestro takes to make this happen.
Recognizing that this rebuy is over budget, it sends the user a recommended email template to send to the supplier.
Time Consumption in Communication
The user can then approve this, and it’s all automated. The email is sent directly to the supplier, and the agent waits for the supplier to
Focus on Strategic Activities
respond.
Once a supplier has responded, the agent will determine if a negotiation is necessary and can handle this negotiation on behalf of the user. Email exchanges
Finalizing Purchase Orders
between a merchandiser and a supplier are usually very time consuming. Agentic Merchandising aims to reduce this by automating tasks that don’t add as much value, allowing users
Automation Options for Users
to focus on more strategic and impactful activities for the business.
Once a supplier has accepted these terms, the agent will then notify the user, create a purchase order, and submit this to their ERP or ordering system.
This completes the process, and the agent will wait to the supplier for any other updates until the day of delivery.
Combination of Technologies
Users can choose whether they have a fully automated process or a partially automated process like this one, where the agent has been monitored by a human throughout.
This automation is made possible by the combination of Peaks predicted models and UiPathogenic automation platform.
Overview of Agentic Merchandising
Benefits of the New Product
Core Components of Agentic Merchandising
AI-Powered Recommendations
Intelligent AI Forecasting
Agentic Workflows with Maestro
Integration of UiPath’s Automation
Automating Purchase Orders
User Decision Support
Maestro’s Operational Steps
Email Communication with Suppliers
Supplier Response Management
Negotiation Process
Time Consumption in Communication
Focus on Strategic Activities
Finalizing Purchase Orders
Automation Options for Users
Combination of Technologies
The introductory guide to agentic AI for retail merchandising
This free guide explores how agentic AI is transforming merchandising for the modern retailer. You’ll learn how intelligent systems that predict, decide and act autonomously can help your teams trade smarter, protect margin and respond to change in real time.