GuideXR Optimize

Develop by Shopify

$9.99-$19.99

/ Month

7 Days Free Trial

Track, manage, and restore Shopify product and collection field changes.

Track field changes

Restore previous values

Filter by date range

About GuideXR Optimize

Launched Dec 23, 2024

Built by Shopify

Address

santa monica, CA, US

Website Support Portal Privacy policy Tutorial FAQ Document

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Description

Track and update historical changes to product and collection fields, with easy restoration.

GuideXR Optimize allows Shopify admins to track and manage historical changes to specific fields in Products and Collections. Users can select which fields to monitor, view changes, and restore previous values with ease. The app captures old and new field values, along with timestamps. It offers powerful filtering options by collection, product and date range. This tool helps maintain accurate records and simplifies data recovery for improved store management.

Track changes to Product and Collection. Stay upto date on changes to key fields
Choose fields to track. Start and stop tracking based on your needs.
Analyze historical changes with multiple filters. Review and filter history.
Restore history with confidence. Get an accurate view of old and new values.

Pros

Enables Shopify admins to monitor historical changes to specific fields in Products and Collections.
Users have the flexibility to select which fields they want to track and can start or stop tracking as needed.
Facilitates easy restoration of previous values, which is helpful for data management and recovery.
Captures detailed change logs with both old and new values along with timestamps, ensuring accurate records.
Provides powerful filtering options by collection, product, and date range for efficient data analysis.
Improves store management by helping maintain accurate product and collection information.

Cons

Relies on user input to specify which fields to track; important changes may be missed if not selected.
Could potentially introduce complexity for users unfamiliar with data management processes.
May require integration and ongoing management, which could add to an admin's workload.