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AI Commerce Operations Lab

Operate Shopify like a bigger team.

Source-reviewed AI workflows and operating systems for solo and lean ecommerce teams.

Explore playbooksBrowse the stack
Product cards, packaging materials, and a scanner on an ecommerce worktable

Start with the job at hand

Navigate by build, operations, automation, and growth so every visit leads to a practical next step.

Build

Start with catalog, data, and product-page foundations.

Operate

Turn orders, inventory, support, and content into systems.

Automate

Define triggers, failure paths, and human checkpoints.

Grow

Build durable demand through SEO, GEO, and distribution.

Featured playbooks

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Agentic commerce

AI shopping channels are turning discovery, carts, and checkout into machine-readable workflows. Start with clean product data, policies, and escalation paths.

Open topic
01
Shopify AI shopping agents: prepare the catalog before the handoffA source-reviewed operating guide for Shopify AI shopping agents, covering Catalog data, channel controls, checkout handoffs, permissions, and human review.
02
Shopify AI assistant: build a review boundary before it actsA review-first operating model for Shopify AI assistants: define inputs, limit permissions, inspect proposed changes, and keep consequential store decisions with a person.
03
Universal Commerce Protocol for Shopify: set the capability boundary firstA source-reviewed guide to UCP capability profiles, access tiers, checkout handoffs, and human controls for lean Shopify teams.

Best tools by job

Tool directory ↗
Operations automationOfficial source

Shopify Flow

Native event-driven automation for connecting Shopify data, conditions, and app actions without running a separate workflow server.

  • Route high-risk orders for review
  • Tag customers, orders, and products from defined conditions
View tool
AI assistantOfficial source

Shopify Sidekick

Shopify's in-admin AI assistant for analysing store context, generating material, navigating tasks, and proposing supported actions.

  • Ask store-context questions in natural language
  • Draft content and supported admin work
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Comparisons

One-person commerce learning path

Begin with a weekly review: turn repetition into rules, keep high-risk decisions human, then automate what has become stable.

  1. 1Map order to fulfilment
  2. 2Mark repetitive work
  3. 3Set approval thresholds
  4. 4Review exceptions weekly

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