01
Analyze the Source Catalog
Review the structure of the supplier file, identify available fields, detect missing information and determine which existing signals can support product recovery.
HOW IT WORKS
How Product Catalog Enrichment Works at Scale
AIKIVORS turns incomplete supplier catalogs into structured, usable product data through a controlled workflow: analyze the source file, search relevant sources, match the right references, recover missing information, validate the result and deliver the final catalog in an operational format.
Structured workflow
Multi-source matching
Quality supervision
Scalable execution
CATALOG WORKFLOW
6 CONTROLLED STAGES
01
Analyze
Map fields, gaps and usable signals
READY
02
Search
Research across relevant sources
ACTIVE
03
Match
Connect the correct product reference
VERIFIED
04
Recover
Fill missing data and image fields
ENRICHED
05
Validate
Control consistency and relevance
CHECKED
06
Deliver
Prepare the target output structure
READY
THE ENRICHMENT PROCESS
Six stages from raw supplier data to structured output.
Each stage has a specific role. The workflow is designed to preserve useful source information, strengthen product matching and avoid treating uncertain data as if it were verified.
02
Search Relevant Sources
Use the available product identifiers, names and references to search the most relevant sources for missing data, images and corroborating product information.
03
Match the Correct Product
Compare identifiers and product signals to strengthen the correspondence between the supplier row and the product record found externally.
04
Recover Missing Data
Enrich the catalog with the agreed fields, which may include official designations, identifiers, brands, categories, useful attributes and relevant product images.
05
Validate & Control Quality
Review consistency, image relevance, identifier correspondence and uncertain matches so questionable records remain visible instead of being silently forced into the final file.
06
Deliver the Final Catalog
Return the enriched product data in the agreed structure, with organized image assets or links and the fields required for the next operational system.
STEP ZERO: UNDERSTAND THE FILE
We start with the data
you already have.
A useful enrichment process begins by understanding the source catalog itself. Existing SKU references, barcodes, designations and supplier fields are not discarded: they are used to guide the search and maintain traceability throughout the project.
QUALITY GATES
What gets checked before delivery.
Product enrichment only creates value when the result is usable. Quality gates focus on the elements most likely to create downstream errors in product pages, databases and imports.
Identifier consistency
Compare available product identifiers and flag unclear correspondence instead of treating it as confirmed.
Image relevance
Review whether the recovered visual actually represents the intended product rather than a logo, ad or unrelated asset.
Field normalization
Keep output formats consistent so the enriched file is easier to import, compare and maintain.
Unresolved records
Keep difficult or uncertain references visible for further review rather than hiding them inside an apparently complete file.
SCALE WITHOUT LOSING STRUCTURE
The workflow stays consistent
as volume increases.
Larger catalogs can be split into controlled ranges and processed in parallel while keeping the same recovery rules, output structure and quality checkpoints. This makes the method suitable for both one-off recovery projects and recurring supplier data operations.
INPUT → OUTPUT
What you send. What you receive.
The exact fields depend on your project, but the overall objective remains the same: turn fragmented source data into a structured, documented and operational catalog.
Typical Inputs
Existing supplier or internal catalog files with partial product information.
XLSX or CSV supplier files
SKU and internal references
Existing EAN / GTIN values
Partial designations and brands
Existing image folders or URLs
Typical Outputs
A cleaner, enriched structure aligned to the agreed business and system requirements.
Recovered product fields
Validated identifier correspondence
Organized image files or URLs
Normalized catalog structure
Visible match and QA status
FREQUENTLY ASKED QUESTIONS
How the enrichment process works in practice.
What information is needed to start a catalog enrichment project?
A project can begin with an existing supplier or internal catalog, typically in XLSX or CSV format. Available SKU references, product names, barcodes and other fields are used as the starting signals for research and matching.
Does every product go through the same matching process?
The workflow is consistent, but the strongest matching signals vary by product. Some references can be validated directly from reliable identifiers, while others require additional comparison between designations, brands, images and multiple sources.
What happens when a product cannot be matched confidently?
Uncertain references can be kept visible for additional review. The goal is not to force a result simply to make the file appear complete, but to preserve the distinction between strong matches and unresolved records.
Can the process handle large catalogs?
Yes. Larger catalogs can be split into controlled processing ranges and handled in parallel while keeping the same output structure, recovery rules and quality checkpoints.
How can I test the process before a larger project?
The free 25-SKU audit provides a small representative sample to evaluate recoverability, matching quality and the most useful output structure before moving to a larger volume.
START WITH A SMALL SAMPLE
Put the workflow to the test on 25 of your SKUs.
Send a representative sample and see how much product information can be recovered, matched and structured before deciding how to approach the rest of your catalog.