Keep product information accurate across every channel with less manual administration

Product information often needs to be collected manually from several different sources before a product can be worked on.

Employees may download supplier spreadsheets, open emails, retrieve internal data and combine everything into another file.

We can collect product information from connected sources such as supplier systems, ERP or PIM software, spreadsheets and internal databases and bring it into one structured workflow.

For example:

Supplier data received → Product records extracted → Existing information retrieved → Product workflow started

The workflow can collect information such as:

• Product identifiers
• Supplier references
• Names
• Descriptions
• Specifications
• Variants
• Attributes
• Images
• Documents
• Other available product information

Capabilities depend on the available source data, file formats and system integrations.

If important information is not accessible, the workflow cannot reliably create it from nothing.

Different systems often describe the same information in different ways.

One supplier may use:

Item number → Colour name → Size code

while your internal structure expects:

SKU → Colour → Size

Employees often have to translate these structures manually.

We can create predefined mapping rules that convert incoming fields into the product-data structure your organisation uses.

This can include:

• Field-name mapping
• Date formatting
• Unit standardisation
• Attribute naming
• Identifier formatting
• Value normalisation
• Channel-specific field preparation

For example:

Supplier field “Article No.” → Internal field “SKU”

Clear mappings can be applied automatically.

Unknown or conflicting fields can be flagged instead of being guessed.

A product should not reach publication if essential information is missing.

We can check product records against predefined requirements before they continue.

Depending on your process, this can include checking:

• Required fields
• Product identifiers
• SKU formats
• GTIN or other codes where applicable
• Titles
• Descriptions
• Required attributes
• Images
• Variant information
• Channel-specific fields

The workflow can also check whether fields follow expected formats or whether values appear inconsistent with existing rules.

For example:

Product imported → Required fields checked → Missing attribute detected → Product sent to review queue

These checks follow the rules you define.

They do not guarantee that the underlying supplier information is factually correct.

Matching products and variants can become difficult when different systems use different identifiers or naming conventions.

An internal product may use one SKU structure while a supplier or marketplace uses another.

We can use reliable references to help match:

• Products
• SKUs
• Variants
• Sizes
• Colours
• Supplier references
• Channel identifiers

For example:

Supplier SKU found → Existing internal SKU matched → Variant relationship confirmed → Record updated

Where identifiers and references are consistent, matching can be automated.

If several possible matches exist or the available information is insufficient, the workflow sends the product for human review.

It should not attach a product to a variant based on a guess.

Product information may contain the facts needed for publication but not yet be written in the format your sales channels require.

We can help prepare product content from approved source information.

That can include:

• Product titles
• Descriptions
• Bullet points
• Feature summaries
• Short descriptions
• Channel-specific content versions

AI can help turn structured specifications into readable product copy or adapt existing content to a required format.

For example:

Approved specifications → Product description prepared → Brand rules applied → Employee review if required

The workflow only uses information available in approved source data and your predefined instructions.

It should not invent dimensions, materials, compatibility claims or other product facts that are not supported by the source information.

Products often need more structured attributes than suppliers provide directly.

Available information may need to be reorganised into fields such as:

• Material
• Colour
• Size
• Dimensions
• Capacity
• Product type
• Features
• Technical properties
• Other channel-specific attributes

We can use available source information to populate or prepare these attributes according to your predefined structure.

For example:

Supplier description analysed → Existing specifications identified → Relevant attributes prepared → Missing fields flagged

AI can help interpret unstructured descriptions, but it should not manufacture missing product specifications.

When the source information does not support a reliable attribute, the field remains unresolved and goes to your team.

Product content is not limited to text.

Images, manuals, specification sheets and other assets often need to be collected and associated with the correct product.

Employees may currently search supplier folders, rename files, check product references and upload assets manually.

We can coordinate the workflow around available media.

That can include:

• Collecting supported image files
• Matching assets to products using reliable identifiers
• Checking whether required media is present
• Identifying unsupported file types
• Routing missing images for review
• Preparing assets for downstream systems
• Tracking whether media has been transferred

For example:

Supplier images received → SKU references checked → Images linked to product → Missing main image flagged

The workflow does not determine whether an image is legally suitable, brand compliant or factually representative unless you provide explicit rules and a review process.

Different systems and sales channels often use different category structures.

Your internal system may classify a product one way while a marketplace expects another taxonomy.

We can apply predefined mapping rules between categories where the relationship is clear.

For example:

Internal category “Running Accessories” → Channel category mapped → Required channel attributes loaded

Existing product attributes and category rules can also help identify likely mappings.

Where a category is new, ambiguous or several destinations are possible, the product goes to an employee for review.

We do not independently decide uncertain commercial classification or regulated category placement.

Once product information is approved, it often needs to be transformed again before publication.

Each sales channel may require:

• Different field names
• Different content lengths
• Specific identifiers
• Required attributes
• Category references
• Variant structures
• Image requirements
• Feed formats

We can prepare approved product information according to the required channel structure and, where supported, send it to connected webshops, marketplaces or product feeds.

For example:

Product approved → Channel fields prepared → Product sent to webshop → Marketplace publication attempted → Status recorded

The exact publication actions depend on each platform's API, feed options and technical capabilities.

Some channels may still require manual actions or additional review.

Product catalog management does not end when a product is published.

Supplier information changes.

Products are updated.

Channel requirements change.

Publications fail.

We can track product changes and the status of each connected workflow.

One overview could identify:

• New products
• Changed products
• Missing fields
• Unmatched SKUs
• Variant conflicts
• Missing images
• Products awaiting approval
• Publication status
• Failed channel updates
• Outdated records
• Other exceptions

For example:

Supplier attribute changes → Difference detected → Change checked → Approved update published → Channel failure flagged

This makes it easier for your team to focus on the product records that actually require attention.