Product search & discovery
Personalisation & recommendation
Cadeera uses high performance semantic & visual indexing to allow for an intuitive and iterative search experience.
Cadeera uses a proprietary scoring system to evaluate semantic and visual product features and attributes.
Cadeera helps the user to understand their preferences through visual clues, considers purchase and browsing history to make meaningful recommendations.
The Cadeera engine automatically classifies and enriches all metadata and product attributes using state-of-the-art computer vision and NLP techniques.
Cadeera applies the latest advances to analyse and interpret the visual product world
Cadeera leverages algorithms that continuously learn and adapt to user and behavioural feedback
Cadeera understands and interprets textual information and extracts underlying semantics
Cadeera analyses user actions and their digital footprints to understand behaviour and preferences
Cadeera models concepts and their relationships to enrich data and improve the user experience
Cadeera analyses and remedies data quality including data entry, classification errors and missing values
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