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Azure reference architecture

Dynamic pricing within guardrails

A Azure reference architecture for dynamic pricing within guardrails in E-commerce. Triggered by competitor price change or margin breach detected, Padiso orchestrates 3 specialist agents on Azure AI Foundry, reaching commerce platform and your tools through the Model Context Protocol, with budgets, approvals and an audit trail throughout.

AzureRuntime: Azure AI Foundry

Trigger

Competitor price change or margin breach detected

E-commerce

Orchestration

Padiso

Padiso Orchestrator

goals · tasks · heartbeat

Governance

budgets · approvals · audit

Runtime & agents

Agent runtime

Azure AI Foundry

Catalog agent

agent

Pricing agent

agent

Support agent

agent

Integrations · MCP

MCP gateway

shopify
salesforce
zapier
slack

Your systems

Commerce platform

Pricing rules engine

Competitor feeds

How the data flows

Trigger: Competitor price change or margin breach detected

  1. 1

    Pricing agent monitors competitor and demand signals against your rules

  2. 2

    It proposes price moves within configured floors and ceilings

  3. 3

    Changes within guardrails apply automatically; the rest queue for review

  4. 4

    Margin-impacting moves escalate to the pricing owner

Agent team

  • Catalog agent
  • Pricing agent
  • Support agent

Integrations

shopify
salesforce
zapier
slack

Reached through the Model Context Protocol, scoped and governed.

Runtime & data

Azure AI Foundry

Commerce platform

Pricing rules engine

Competitor feeds

Security & operational considerations

  • Hard floor / ceiling guardrails, never breached
  • Full change history per SKU
  • Approvals on moves beyond a margin delta

Azure deployment

Deployed in your Azure tenant on AI Foundry, with Entra ID scoping, Private Endpoints into your VNet, and Azure Monitor for audit and observability.

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