AI Data Enrichment

AI That Makes Your Catalog Findable

Closes the gap between how your catalog names products and how shoppers search for them.

AI Data Enrichment automatically maps synonyms, standardizes creative color names into searchable terms, and extracts keywords from product descriptions. Your catalog becomes searchable in the language your shoppers use, without your team writing rules or maintaining synonym lists.

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Enrichment built for how shoppers search

Shoppers do not search using your product taxonomy. They type in their own words and describe colors creatively. AI Data Enrichment translates your catalog into the language shoppers actually use, automatically. Oliver Bonas retired 2000 manual synonyms doing exactly this.

Capture Every Search Variation

Shoppers type sofa when your catalog says couch. AI maps every variation automatically, so no query goes to a zero result page because of naming differences.

Eliminate Naming Mismatches

Creative color names, brand specific terminology, and technical specs get standardized into terms shoppers understand, without asking your team to rewrite the catalog.

Understand Shopper Terms

NLP reads product descriptions and extracts the keywords shoppers search for. Your existing catalog becomes discoverable without extra content work or manual tagging.

Three ways AI enriches your catalog

Every capability turns unstructured catalog data into shopper ready content. No manual tagging. No synonym lists. No rewrites. Just enrichment that works in the background.

Automatic Synonyms Color Standardization NLP Product Discovery

Automatic Synonyms

Term variations mapped automatically, so sofa finds couch every time.

AI recognizes term variations across your catalog and maps them without manual synonym lists. Shoppers who type sofa land on couch results. Your team stops maintaining thousands of rules.

Color Standardization

Creative color names translated into terms shoppers search for.

Deep Ocean becomes Blue. Lapis Lazuli becomes Blue. Cerulean becomes Blue. AI translates every creative color name into the standard terms shoppers type, so brand language never blocks discovery.

NLP Product Discovery

AI extracts searchable keywords from your product descriptions.

Every product description contains searchable terms your catalog structure never captured. NLP reads descriptions across your catalog and surfaces those keywords for search, turning unstructured copy into structured discoverability.

Real results, real retailers

How Oliver Bonas replaced 2000 manual synonyms with AI

+20%

increase in search transactions

-22%

decrease in search bounce rate

We’ve found Athos easy to learn, intuitive and use navigationally, and we have several users from different departments in Oliver Bonas now using the tool.

Charlotte Byrne

Head of Content and SEO

Oliver Bonas

View Case Study

Frequently Asked Questions

How is this different from manual synonym rules or search dictionaries?

Manual synonym lists grow into thousands of entries and still miss variations. Oliver Bonas maintained over 2000 manual synonyms before Athos Commerce automated the work. AI Data Enrichment learns synonym patterns across your catalog continuously, catches new variations without team input, and adapts as shopper language changes.

Can our team override AI generated synonyms or add our own?

Yes. AI handles the automated enrichment across your catalog, while your team keeps full control to add custom synonyms, exclude terms you do not want mapped, and override any AI decision. Manual and automatic enrichment work together, so you get automation without losing brand judgment.

What if our product data is incomplete or messy today?

AI Data Enrichment is built for imperfect catalog data. NLP extracts searchable keywords from whatever descriptions exist, color standardization catches creative naming inconsistencies, and automatic synonyms bridge gaps in your taxonomy. Your data does not need to be clean before enrichment starts adding value.

Does the AI understand my industry specific terminology?

Yes. The AI learns from your catalog and shopper behavior on your site, so it recognizes industry terms, brand vocabulary, and product jargon specific to your business. It also adapts as new products launch and new shopper terms emerge, so enrichment stays current.

How is this different from AI product description generation tools?

Generation tools write new content for your catalog. AI Data Enrichment works with content that already exists, extracting keywords, mapping synonyms, and standardizing terms so shoppers find what you already have. The two are complementary. Enrichment focuses on findability, not content creation.