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Data flow: Google Cloud Storage to Productsup
Brands can store master product images, videos, 3D assets, and localized creative files in Google Cloud Storage, then connect Productsup to pull the approved assets into product feeds for marketplaces, retail media networks, and comparison shopping engines. This creates a single, scalable repository for large media files while giving merchandising and e-commerce teams controlled access to the latest approved content.
Data flow: Productsup to Google Cloud Storage
Productsup can export finalized product feeds, channel-specific transformations, and validation outputs to Google Cloud Storage for long-term retention and auditability. This is useful for enterprises that need to track what was sent to each channel, when it was sent, and which version was active during a campaign or trading period.
Data flow: Google Cloud Storage to Productsup
When launching new marketplaces or advertising platforms, teams can stage raw product data exports, taxonomy files, and channel templates in Google Cloud Storage before Productsup ingests and transforms them. This is especially valuable for enterprises onboarding thousands of SKUs across multiple markets, where file handling and staging need to be reliable and scalable.
Data flow: Bi-directional
Marketing teams can upload seasonal campaign assets, localized banners, and promotional imagery to Google Cloud Storage, while Productsup distributes the relevant assets into channel-specific product listings. After campaign completion, Productsup can write back usage metadata or campaign references to Google Cloud Storage for reporting and reuse planning. This supports fast campaign execution across many channels without losing control over asset lifecycle.
Data flow: Productsup to Google Cloud Storage
After Productsup enriches product titles, descriptions, attributes, and channel rules, the enriched datasets can be stored in Google Cloud Storage as a backup and recovery layer. If a downstream marketplace feed fails or a channel requires reprocessing, teams can quickly restore the last known good version without rebuilding the transformation from scratch.
Data flow: Productsup to Google Cloud Storage
Productsup channel performance metrics, feed validation results, and content optimization outputs can be exported to Google Cloud Storage for downstream analytics in BigQuery or other Google Cloud services. This enables e-commerce, merchandising, and digital shelf teams to analyze which product attributes, titles, or images drive better performance by channel, region, or retailer.
Data flow: Google Cloud Storage to Productsup and Google Cloud Storage to business users
Regional teams can store approved localized product files, translations, and compliance documents in Google Cloud Storage, then Productsup can consume those files to build market-specific feeds. At the same time, business users can access the same files directly from storage for review and approval workflows, reducing email-based file sharing and version confusion.
Data flow: Productsup to Google Cloud Storage, with restore back to Productsup
Enterprises can use Google Cloud Storage as a durable recovery layer for critical product content, feed configurations, and exported channel files. If Productsup workflows need to be restored after an incident or environment reset, the stored artifacts can be reloaded to resume operations quickly and minimize disruption to sales channels.