J.P. Morgan Payments and Mirakl Partner to Build Agentic Commerce Payment Infrastructure

Akihiro Suzuki

Akihiro Suzuki

Twitter

Key Takeaways

  1. J.P. Morgan Payments and Mirakl announce a strategic partnership to enable autonomous purchasing via AI agents
  2. The collaboration between a major payment provider and a commerce platform signals agentic commerce moving from "experimentation" to "implementation"
  3. E-commerce operators should start planning AI agent-optimized product catalogs and payment infrastructure

J.P. Morgan and Mirakl Join Forces to Build Infrastructure for the Age of AI Shopping

JPMorgan Payments and Mirakl Form Agentic Commerce Pact | PYMNTS.com

JPMorgan Payments and Mirakl Form Agentic Commerce Pact | PYMNTS.com

Commerce software firm Mirakl has joined forces with J.P. Morgan Payments. This collaboration, announced Tuesday (March 10) will combine Mirakl's Nexus

On March 10, 2026, commerce software company Mirakl and J.P. Morgan Payments, one of the world's largest payment infrastructure providers, announced a strategic global partnership to enable enterprise-scale agentic commerce--a system where AI agents autonomously discover, compare, and purchase products.

By combining Mirakl's agentic commerce platform "Mirakl Nexus" with J.P. Morgan Payments' payment infrastructure, the partnership aims to build an "end-to-end purchasing experience" spanning product discovery, checkout, and after-sales service--all driven by AI agents. A closed beta program is currently underway with select retailers and merchants, with full-scale deployment planned for 2026.

Attention on agentic commerce is accelerating rapidly. J.P. Morgan Payments' own analysis predicts that AI agents will handle 15-25% of US e-commerce transactions by 2030.

Reflecting this momentum, in December 2025, Visa and AWS announced the agentic commerce platform "Visa Intelligent Commerce", partnering with Expedia, Intuit, and others to build infrastructure for AI agents to autonomously execute payments. The J.P. Morgan x Mirakl partnership enters this competition along the "payments x marketplace" axis.

In traditional e-commerce, consumers visited search engines or retail sites to find products. In agentic commerce, however, AI agents discover products through platforms like Gemini, Copilot, and Perplexity, autonomously handling comparison and purchase. J.P. Morgan states that "we are moving from AI agents 'assisting' with shopping to actually 'transacting'."

Roles of Mirakl Nexus and J.P. Morgan Payment Infrastructure

In this partnership, both companies bring their respective strengths to build the full stack of agentic commerce.

Mirakl Nexus (Commerce and Product Discovery Layer)

Mirakl Nexus is positioned as "neutral infrastructure connecting AI agents with merchants." Its key capabilities include:

  • Catalog Transformer: Leveraging 10+ commerce-specific generative AI models to instantly ingest, transform, and optimize product data in any format. This eliminates missing metadata and inconsistent descriptions--"critical barriers" for AI agents
  • Real-time inventory and price synchronization: Synchronizes stock levels, pricing, and shipping terms in real time, enabling AI agents to make purchasing decisions based on accurate information
  • Autonomous after-sales service: Automatically manages workflows from fulfillment to customer support
J.P. Morgan Payments (Payment and Security Layer)
  • AI agent tokenization: Provides tokenization technology for agents to securely execute payments
  • Enterprise-grade fraud detection: Applies bank-grade risk management to AI agent transactions
  • Model Context Protocol (MCP) support: Supports the protocol for direct integration with AI models

Mike Lozanoff, Global Head of Merchant Services at J.P. Morgan Payments, emphasized that "the differentiator won't be 'AI' but 'governance.' Identity, consent, transaction limits, and interoperability at global scale are the keys."

Meanwhile, Mirakl co-founder and co-CEO Adrien Nussenbaum stated that "agentic commerce requires the convergence of intelligent commerce infrastructure and trusted payment infrastructure," adding that they are "building the foundational infrastructure for next-generation commerce where AI agents autonomously shop," as reported.

Impact and Implications for E-Commerce Operators

This partnership carries three major implications for e-commerce operators.

Urgency of product data preparation to be "chosen by AI agents"

In agentic commerce, incomplete metadata, inconsistent product descriptions, and missing images are no longer "minor issues" but directly lead to "lost transaction opportunities." According to PYMNTS reporting, product discovery in marketplaces is shifting from retail sites to "through AI agents." AI optimization of product catalogs is becoming as important as--if not more important than--SEO.

Agent-ready payments as a new competitive axis

For AI agents to autonomously make purchases, traditional human-facing payment flows are insufficient. A "governance layer" is needed, including agent-specific tokenization, consent management, and transaction limit settings. With major payment companies like J.P. Morgan entering this space in earnest, standardization in this area is expected to accelerate.

Watching the closed beta

Both companies are currently conducting a closed beta with selected retailers and merchants. Mirakl operates over 450 marketplaces worldwide, with customers including Macy's, Decathlon, Carrefour, ASOS, and John Lewis. In 2024, the platform processed $11.2 billion in transactions, handling up to 82 orders per second at peak. Early adoption is likely to be led by major retailers.

Summary

The J.P. Morgan Payments and Mirakl partnership marks a turning point where agentic commerce transitions from "concept" to "enterprise implementation." Following the Visa-AWS collaboration, the commitment of a major payment industry leader to this space suggests that 2026 will be a year of rapidly accelerating infrastructure competition in agentic commerce.

What e-commerce operators should focus on now is the closed beta developments and product data optimization for AI agents. The shift from "humans finding" to "AI choosing" in e-commerce is no longer a future prospect--it is happening now as the infrastructure falls into place.

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