Relevance

Hybrid Search combines exact search with understanding.

A SKU must be found exactly. Natural product demand requires context. Hybrid Search combines different search methods to help both types of visitors.

Exactly where exactly is needed

Article numbers, SKUs, model names and specific brands benefit from classic keyword matching. A hybrid approach maintains that precision.

Semantic where meaning counts

Descriptive or inspiration-oriented questions are reinforced with semantic signals so that the intention of the visitor gains more weight.

Ranking brings signals together

Keyword score, semantic agreement, product popularity, stock and merchandising can contribute together to the final order.

Suitable for mixed catalogues

Many online stores have both technical articles and inspiration products. Hybrid Search prevents one search method from having to work for all situations.

More control for e-commerce teams

AI does not have to be a black box. Commercial rules may continue to exist alongside algorithmic relevance.

Optimize with data

Use analytics to see where keyword matching works well and where customers benefit from broader semantic interpretation.

Examples

Different questions call for different logic.

AB-12345”

An article number question requires exact matching and a predictable top result.

Black waterproof hiking shoe for winter

A substantive search query can combine multiple characteristics and intentions and benefit from semantic interpretation.

Bank

A short, broad term requires relevant categories, popular products, filters and possibly merchandising.

Use the best search method per situation.

Findoviq is intended to present relevance, AI and commercial control as a whole.

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