1. Store Operations Manager
Owns the day-to-day health of the ecommerce store: connection status, product state, order and fulfillment flow, operational exceptions, and the priority queue for what needs attention.
2. Merchandising Manager
Owns how products are presented and organized: product status, variants, SKU structure, collections, pricing context and merchandising changes.
3. Inventory Manager
Owns availability, low-stock risk, stockouts and inventory-related operating decisions. Inventory signals often need to be interpreted together with advertising and product-feed activity.
4. Marketplace Operations Manager
Owns marketplace-specific workflows such as Amazon, eBay or Walmart. A marketplace is a channel with its own identities, permissions, listings, orders and fulfillment rules, not a replacement for the rest of the operating stack.
5. Growth & Analytics Manager
Owns traffic, conversion, ecommerce measurement and performance diagnosis. GA4, Search Console and store data are useful together because a change in business results may have more than one cause.
6. Advertising Manager
Owns Google Ads and other paid acquisition channels. The job is not only changing budgets; it also requires understanding product eligibility, inventory, landing-page performance, measurement and commercial outcomes.
7. Feed / Merchant Center Manager
Owns product data quality, Merchant Center issues, eligibility and the relationship between store catalog data and Shopping or Performance Max campaigns.
8. Execution & Review Manager
Owns what happens after a recommendation is accepted: execute the supported change, verify it was applied correctly, preserve an audit trail and review whether the result improved after an appropriate interval.
How an AI Operating Team changes the structure
Traditional teams spend a large amount of time moving between dashboards, checking recurring conditions and assembling context before they can make a decision. The AI Operating Team model moves repetitive observation, cross-source diagnosis, recommendation preparation and selected approved actions into one operating layer.
The important boundary is that AI should not erase merchant ownership. High-impact actions can remain approval-gated, platform permissions still define what is possible, and every connected store or account must stay within the correct merchant scope.
YEEDOOR's operating model
YEEDOOR organizes the workflow as:
- Connect the store, marketplace and marketing systems.
- Observe operational signals continuously.
- Analyze risks, anomalies and opportunities across sources.
- Recommend prioritized next actions.
- Execute supported actions with merchant-controlled guardrails.
- Read back the result and review what changed.