Product-feed operations for a hybrid catalog

The product feed is now the machine-readable commerce layer, and AI shopping surfaces accept refreshes as often as every 15 minutes. Incomplete feed data excludes products from AI consideration entirely — so data quality, not ad spend, is the visibility lever here. The catch for this vertical is shape: a physical-goods feed template handles hardware, but digital games (license regions, age ratings, platform exclusivity) and subscription tiers (regional pricing, plan structures) fit it poorly.

Why this, mechanically. Unsynced availability produces failed or invisible listings and disputed orders; launch windows and preorder states are the most fragile moments. One feed architecture that natively models three catalog shapes removes the class of failure where digital-good attributes get forced through a physical-goods schema and silently dropped.

Deliverable. AI-surface feeds for the three archetypes in the top markets, with 15-minute refresh on price and availability, per-market currency and rating data, launch/preorder state handling, and full validation against the commerce API.

Finish line. Every priority product renders correct price, availability, and market-specific data in the targeted AI shopping surfaces, verified against source — including a rehearsed launch-state lifecycle before the next hardware launch.

Conversion routing — in-surface versus owned checkout — is a multi-surface decision, not a feed decision; keep them separate.