Let’s talk pricing at NRF 2027: Retail’s Big Show NYC | 10–12 January, 2027
GET IN TOUCHThe next chapter of retail pricing
Your pricing expertise, supported by AI agents designed to turn everyday tasks into coordinated action.
Illustrative agentic workflow
Example: A competitor lowered prices in key categories. Where should we respond?
01
Chat Assistant + BI Agent
Identify affected products and explain where your competitive position has changed.
Products to investigate
02
Pricing Manager Agent
Prepare response options and use pricing models to assess their expected business impact.
Options to compare
03
Price Approval Agent + Your Team
Compare options, add your business context and decide which response to approve.
Exceptions for review
Concept of an agentic workflow, not all components available in live product yet.
Agents handle tasks. Our proprietary models handle the math.
You stay in control of how it all comes together.
Does the work
Agents prepare actions and support complex workflows.
Makes it accessible
Ask questions, explore insights and turn information into clear answers.
Keeps you in charge
Set rules, review decisions and trace what happened and why.
Specialized Yieldigo pricing models
The pricing expertise underneath: demand modelling, optimization and what-if simulations.
Data, tools & permissions
Connect your other AI tools via MCP (Model Context Protocol).
Six specialists, each focused on a practical part of your day.
Turn business questions into reports and insights.
Work across Yieldigo through one conversation.
Build impactful campaigns.
Focus your review on prices that need attention.
Put AI pricing expert to work on your strategy.
Find negotiation opportunities and prepare your case.
Connected through MCP. A shared foundation for agents across Regular Pricing, Promotions, Multibuy and Markdowns.
A closer look at the workflows we are building towards.
01 / BI Agent
The BI Agent is designed to build dashboards and reports from natural-language requests, so you can investigate your business without knowing the underlying data model.
02 / Conversational AI
Describe what you need to achieve. The Conversational AI is designed to find the right tools and specialized agents, helping you work across Yieldigo without navigating every screen.
03 / Promo Agent
The Promo Agent can handle the preparation behind promotions: interpreting proposals, evaluating their expected impact and organizing the plan.
04 / Price Approval Agent
A review assistant helps distinguish routine price adjustments from uncertain or risky changes, using business context beyond your application guardrails.
05 / Pricing Manager Agent
The Pricing Manager Agent is an expert advisor, combining your pricing data with Yieldigo’s practical experience to identify settings and strategies worth improving.
06 / Negotiation Agent
The Negotiation Agent monitors market developments and identifies suppliers where better purchasing terms may be possible, then prepares the supporting arguments.
No. Your data is processed independently for your organization and is not used to train general or shared AI models, nor to provide competitive insights or other benefits to other retailers. Yieldigo’s machine-learning models use each retailer’s own historical sales and pricing data to support that retailer’s demand modelling and price optimization.
The illustrated workflow ends with your team’s decision. The scope of automated actions and approval requirements will be defined for each agent specifically.
The intended approach is to surface gaps and request human input. Each agent is instructed not to propose action when lacking sufficient data.
Data access and processing is covered under DPA ensuring secure storage and handling. Agentic AI services use enterprise mode with no training conditions.
No additional data or technologies on your side are needed on top of standard pricing management solution integration.
Let’s talk about your pricing workflows
Jiří Psota
Chief Technology Officer, Yieldigo
