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AI commerce infrastructure

Building the operating infrastructure for AI-driven commerce.

GPM operates commerce across multiple U.S. digital marketplaces—and is translating repeatable workflows into AI-powered infrastructure for brands and manufacturers.

The goal is to connect product data, decisions, and execution in one operating layer, with human oversight.

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Execution graph Operating context
GPM commerce execution graph Products, inventory, marketplaces, and orders connect through a central GPM execution layer to launch, coordinate, fulfill, and learn. INPUT 01 Products INPUT 02 Inventory INPUT 03 Markets INPUT 04 Orders GPM Execution Layer HUMAN-GOVERNED OUTPUT 01 Launch OUTPUT 02 Coordinate OUTPUT 03 Fulfill OUTPUT 04 Learn
ConnectDecideExecuteLearn
  1. 01 / Today Multi-marketplace operator

    Real commerce workflows and execution.

  2. 02 / Building AI commerce execution platform

    Connected data, workflow automation, decision support.

  3. 03 / Long-term vision A commerce operating system

    People and intelligent agents coordinating commerce.

The execution gap

AI can recommend. Commerce infrastructure must execute.

Product data, marketplace activity, inventory, fulfillment, and performance often live across disconnected teams and systems. Every handoff adds delay, context loss, and operating complexity.

GPM is building the connection between intelligence and action from inside a real operating environment—where software must work within practical commercial constraints.

What breaks at the handoff What GPM connects
Product change
Updates split across files and channelsShared product record
Demand shift
Inventory signals arrive after decisionsOrders + available inventory
Channel exception
Requirements move between teamsOwned workflow + review
Outcome feedback
Results do not inform the next actionMeasured operating loop

The opportunity is not another recommendation layer. It is connected execution.

The GPM model

From real operations to reusable infrastructure.

GPM is productizing in stages: operate real commerce, identify repeatable workflows, validate automation, and package proven capabilities for partners.

Today Layer 01

Real Operations

Marketplace execution, product content, inventory coordination, fulfillment, and day-to-day operating workflows.

  • Live marketplace operations
  • Inventory and order coordination
  • Fulfillment and exception handling
Building Layer 02

Operating Intelligence

Connected data, monitoring, workflow automation, evaluation, and AI-assisted decision support with human oversight.

  • Connected operating context
  • AI-assisted recurring workflows
  • Guardrails, review, and evaluation
Direction Layer 03

Reusable Platform

Software modules and managed AI-assisted workflows intended for selected brand and manufacturing partners over time.

  • Product intelligence modules
  • Managed partner workflows
  • Repeatable deployment
Operate Learn Standardize Automate Productize

Platform capabilities are being introduced as they are developed, tested, and proven useful. Commerce OS is GPM’s long-term product vision, not a complete current product.

Connected execution

One product. One connected commerce workflow.

GPM coordinates the work from product intake through market outcomes—and brings the signals back into the next decision.

A six-stage product workflow from product intake through outcome feedback. Select a stage to inspect its inputs, GPM action, output, and human checkpoint.
Stage 01 / Product intakeBuild one usable operating record.

Turn product facts and commercial inputs into a normalized record that can support channel work.

Input
Specs, costs, assets, availability
GPM action
Normalize attributes and identify missing information
Output
Launch-ready product record
Human control
Approve facts, claims, and commercial assumptions
06 / Outcome feedback Adjust channel readiness, content, pricing, inventory, and fulfillment

Scroll through the section or select a stage. On desktop, hover a stage to inspect it.

Technology partner direction

A commerce AI harness for applied intelligence.

A model alone cannot run commerce. It needs operating context, connected tools, policy checks, human accountability, and continuous evaluation around it.

GPM is developing that harness inside a live environment. As SKUs, channels, decision frequency, and evaluation workloads grow, scalable accelerated computing can become an important part of the infrastructure roadmap.

Explore a technology collaboration
A human-governed commerce AI workflow. Choose a use case and select each stage to see how context becomes an approved, measured action.
Architecture direction AI proposes. Guardrails check. People remain accountable.
In development
Stage 01 / Operating context Ground the decision in current operating state.

Bring demand, available inventory, lead time, open orders, and workflow history into one decision context.

Data & tools
Ground the workflow in live commerce state.
Orchestration
Connect models, rules, people, and systems.
Models & compute
Power multimodal, forecasting, and evaluation workloads.
Security & governance
Apply across every stage, not as a final step.

Select a use case, then scroll or choose a stage to follow the decision.

Two paths to value

One operating foundation.

GPM operates commerce today while building reusable infrastructure designed to serve brand, manufacturing, and technology partners at scale.

For brands & manufacturers

One coordinated operating relationship for U.S. ecommerce.

GPM supports market entry, marketplace execution, inventory coordination, and fulfillment—designed to simplify execution without requiring brands to assemble multiple disconnected operating resources.

  • Product-to-market coordination
  • Marketplace and fulfillment execution
  • A foundation that can expand with channels and products
  • Access to automation as capabilities are validated
Discuss your U.S. strategy
For investors

An operating foundation with a platform direction.

GPM combines an existing commerce operation with a platform roadmap. Live workflows provide a practical environment for standardizing, testing, and productizing software against real execution requirements.

  • Existing operating context
  • Workflow knowledge from real execution
  • Staged productization of validated capabilities
  • Potential for recurring technology revenue over time
Start an investor conversation

Future platform economics depend on successful product development, validation, partner adoption, and disciplined execution.

Built by operators

A disciplined path toward increasingly autonomous commerce.

GPM’s strategy starts with the work itself. Capabilities move forward only as they are standardized, tested under real conditions, governed, and proven useful.

  1. 01
    Prove

    Inside GPM operations

    Standardize core data and automate high-frequency workflows where value can be measured.

  2. 02
    Productize

    With selected partners

    Turn validated capabilities into focused modules and managed AI-assisted workflows.

  3. 03
    Scale

    Toward a Commerce OS

    Expand toward an operating layer where people and intelligent agents coordinate commerce.

01 / Reality Built from live operating needs.
02 / Discipline Productize what is validated.
03 / Governance Keep humans accountable.

Start a conversation

Turn commerce execution into intelligent infrastructure.

Whether you are bringing products into U.S. ecommerce, investing in AI-era infrastructure, or developing technology for intelligent commerce, we would like to understand what you are building.

  • Brand partnerships
  • Investor conversations
  • Technology collaboration
Contact GPM directly by email at bd@gpmexp.com