Not every visitor uses the same words as your product catalog. Semantic Search looks at meaning, context and intention so that relevant products are also found without an exact word agreement.
A traditional search function is highly dependent on words that literally appear in product titles, categories, or attributes. Semantic Search can bring concepts and related product requirements closer together. A customer who searches for a description, use case or other name does not have to get stuck immediately.
Visitors are increasingly formulating longer search questions. Think of “light jacket for rainy spring” or “compact dining table for four people”. A semantic layer helps to translate such questions into relevant product properties and categories.
When customer language differs from catalogue language, empty results quickly arise. Semantic Search, together with synonyms, spelling correction and product data, can reduce the number of unnecessary no-result searches.
Semantic relevance does not need to replace merchandising. It is precisely the combination that makes it possible to maintain relevant results while including stock, campaigns, brands or commercial priorities.
AI Can recognize a lot, but strong product data remains the foundation. Clear titles, categories, attributes, and attributes help the search engine better understand which products fit an intention.
Semantic Search is not only interesting for huge catalogs. Smaller online stores can also benefit when customers use different words, assortments are technical or products are described in multiple ways.
Traditional search compares words. Semantic Search also tries to understand the meaning and relationship between the search question and products.
No. Synonyms remain valuable for explicit commercial or industry-specific relationships. Both techniques can complement each other.
Findoviq is designed for multilingual search experiences. The final configuration can be tailored per online store, language and market.
Discuss how Findoviq can combine semantic search with your product data, merchandising and analytics.