Productsup - OpenText Lens - Data Visibility Integration and Automation

Common Integration Use Cases Between Productsup and OpenText Lens - Data Visibility

1. Identify and remove obsolete product content before feed syndication

Data flow: OpenText Lens - Data Visibility to Productsup

OpenText Lens scans shared drives, content repositories, and collaboration platforms to identify outdated, duplicate, or unused product documents, images, and copy. That insight can be used to clean up source content before it is loaded into Productsup for channel syndication. This reduces the risk of publishing stale product descriptions, discontinued SKUs, or obsolete assets to marketplaces and advertising channels.

Business value: Improves content accuracy, reduces feed errors, and lowers the operational effort required to manage product data quality across channels.

2. Detect sensitive or restricted content before external distribution

Data flow: OpenText Lens - Data Visibility to Productsup

OpenText Lens can classify unstructured content to find sensitive information such as internal-only pricing notes, legal disclaimers, embargoed launch details, or region-restricted product documents. That classification can be used to prevent restricted content from being included in Productsup channel exports. This is especially useful when product teams work with many contributors and asset repositories.

Business value: Reduces compliance risk, prevents accidental disclosure, and supports controlled product launches across regions and partners.

3. Improve product content readiness during migration or cleanup programs

Data flow: OpenText Lens - Data Visibility to Productsup

During a product information cleanup or migration initiative, OpenText Lens helps locate all unstructured product-related content across repositories and identify what is relevant, redundant, or obsolete. The resulting inventory can be used to determine which assets and documents should be normalized and loaded into Productsup as approved source material for channel-specific content creation.

Business value: Shortens migration timelines, reduces manual content discovery, and ensures Productsup is populated with cleaner, more complete source content.

4. Enrich product feeds with approved supporting documents and imagery

Data flow: OpenText Lens - Data Visibility to Productsup

OpenText Lens can help locate approved manuals, installation guides, warranty documents, and product imagery stored across enterprise repositories. Productsup can then use that content to enrich product listings for channels that support extended content, such as marketplaces, retailer portals, and comparison sites. This is useful when content is scattered across departments and not centrally managed.

Business value: Improves product completeness, increases conversion potential, and reduces the time teams spend searching for approved assets.

5. Support governance for discontinued or recalled products

Data flow: Bi-directional, with OpenText Lens informing Productsup and Productsup feeding channel status back to governance teams

When a product is discontinued, recalled, or subject to regulatory review, OpenText Lens can identify related unstructured content across the enterprise, including manuals, marketing collateral, and internal references. Productsup can then be updated to suppress or remove the product from active channel feeds. In return, Productsup status data can help governance teams confirm that affected products are no longer being syndicated.

Business value: Speeds response to product lifecycle events, reduces risk of continued sales of restricted items, and improves governance coordination.

6. Prioritize content remediation for high-value channels

Data flow: OpenText Lens - Data Visibility to Productsup

OpenText Lens can identify content gaps, duplication, and risk areas in unstructured repositories. Productsup channel performance data can then be used to prioritize which product content issues matter most for revenue-driving channels such as Amazon, Google Shopping, or key retailer feeds. This allows teams to focus remediation efforts on content that has the greatest commercial impact.

Business value: Aligns content cleanup with sales priorities, improves return on remediation effort, and helps teams focus on the most important product data issues.

7. Create a controlled workflow for product content approval

Data flow: OpenText Lens - Data Visibility to Productsup

OpenText Lens can be used to discover and classify unstructured content before it is approved for syndication. Once content is validated and deemed appropriate, Productsup can distribute it to downstream channels. This creates a governance checkpoint where legal, compliance, and merchandising teams can review content before it reaches external platforms.

Business value: Establishes stronger content controls, improves cross-functional approval workflows, and reduces the chance of publishing noncompliant product information.

8. Improve digital shelf consistency across global markets

Data flow: OpenText Lens - Data Visibility to Productsup

OpenText Lens can help global teams discover localized product documents, translated manuals, and market-specific assets stored in different repositories. Productsup can then use the approved content to build localized feeds for each market and channel. This is especially valuable for organizations managing many brands, countries, and language variants.

Business value: Increases consistency across markets, reduces localization gaps, and supports faster rollout of region-specific product content.