Source record
Supplier descriptions, specifications and existing attributes provide the material.
supplier-catalog.csvAI proposes.
Your workflow decides.
Turn source material into structured product work. Keep the evidence beside each suggestion, the missing information visible, and the final decision with your team.
Pascore / Product enrichmentInteractive example · predefined suggestionsCM-240
Technical specification
The CM-240 control module operates at 24 V DC and supports Ethernet connectivity. Designed for industrial control cabinets.
- Supply voltage
- —
- Interface
- —
- Weight
- Not supplied
Prepare a draft from the specification. The source stays available.
Start with a source.
Keep it in the picture.
A useful suggestion needs the product, its source material and the expected structure. Bring those together so enrichment starts from evidence rather than an empty prompt.
Catalog structure
Expected fields, language and existing values define the shape of the work.
CM-240 · Supply voltage · WeightReview requirements
Required attributes and validation rules determine what still needs attention.
Draft for reviewLess repetitive work.
More usable product data.
Assist with attributes, content and localization inside the same product workflow. Keep suggestions as drafts until the team has checked them against the source.
- Supply voltage
- 24 V DC
- Interface
- Ethernet
- Weight
- Not supplied
CM-240
CM-240 is a 24 V DC control module with Ethernet connectivity for industrial control cabinets.
Українська
CM-240 — модуль керування з живленням 24 V DC та інтерфейсом Ethernet для промислових шаф керування.
A suggestion is
not a published fact.
Compare a proposed value with the source. Accept supported information or leave the field unchanged. A missing required attribute remains visible after the decision.
- Review the proposed change beside its evidence
- Keep unsupported attributes empty
- Validate the record before channel delivery
- Field
- Supply voltage
- Current value
- —
- Proposed value
- 24 V DC
Source evidence“operates at 24 V DC”
Awaiting review
The source supports 24 V DC. Decide whether to apply it to the empty supply-voltage field.
Every decision
keeps its context.
Follow the source, the suggestion and the review decision together. Distinguish supplied information from assisted work, and see what remains unresolved.
- 01CM-240
Source received
Technical specification attached to CM-240.
- 02Suggested
Draft prepared
Supply voltage and interface proposed. No weight supplied.
- 03Review
Review decision
Choose a decision in the review example above to see it reflected here.
This timeline follows the interactive review example on this page.
Assistance at speed.
Decisions with context.
Connect AI-assisted work with supplier data, product identity and validation, so every draft has a clear route through review.
A few practical questions.
How does Pascore use AI?
Pascore brings AI into product-data workflows to assist with structuring, enrichment and validation while keeping results reviewable.
Does AI automatically publish product information?
The public Pascore workflow emphasizes validation and review before channel delivery rather than uncontrolled automatic publication.
Can AI help with multilingual product content?
Pascore supports localized product content and AI-assisted enrichment, making multilingual product operations a relevant use case.
Does AI replace product-data teams?
The Pascore approach is designed to reduce repetitive work and surface useful context while keeping ownership and review explicit.
Why use AI inside a PIM workflow?
AI becomes more useful when it works with structured product context, source data and validation rules rather than operating as an isolated content generator.
Continue the product workflow
Bring the source material.
See the work it can become.
Explore your enrichment tasks, review requirements and product-data workflow with the Pascore team.
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