Semantic AI
for commerce

Semantic AI, incorporating natural language processing (NLP), large language models (LLM), vector search, and self-learning algorithms continuously trained from user behaviors, bridges the gap between human communication and machine understanding. This technology empowers brands to interpret even the most complex queries and customer intent, resulting in a highly relevant on-site search experience for shoppers.
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Aura
Aura

Intelligent, conversational site search experiences with Semantic AI

Seamless site search user experiences

With intelligent auto-suggestions as users type their queries, dynamic filtering options, and tolerance for typo errors, users can find what they’re looking for faster and brands can show items based on true intent.

Enhanced handling of long-tail queries for better conversions

Semantic AI dissects queries and matches them across all product fields, ensuring users get a relevant search experience, even for complex queries, akin to what they are accustomed to with popular search engines.

Let AI do the heavy lifting at a fraction of in-house costs

With Semantic AI, you can streamline on-site search, reducing engineering expenses and eliminating the need for intricate development and ongoing maintenance. This frees you to focus on perfecting your search strategy.

Unlock fast revenue growth with semantic search

Semantic AI is a driving force behind a key component of product
discovery—search. Its ability to optimize the search experience and avoid zero results pages translates into a significant impact on revenue.

Streamline user-generated content curation with automatic sentiment detection

Semantic AI conducts language analysis on user-generated content, promptly identifying positive and negative sentiments, enabling brands to swiftly filter and select the best content with minimal time investment.

How customers are
using Semantic AI

Enhance search relevancy effortlessly with automatic synonym detection

  • Nosto’s AI generates synonym suggestions through behavioral data analysis, identifying patterns. It links search queries with purchased products to create synonym pairs, ranked by frequency.

  • For example, a search for ‘Cologne’ and a purchase of ‘Fresh Perfume’ would create synonym pairs like [Cologne <-> Fresh Perfume], [Cologne <-> Fresh], and [Cologne <-> Perfume].

Deliver a highly relevant search aligned with your business goals

  • Semantic AI-powered search delivers accurate results out of the box and offers control over result rankings. By incorporating a merchandising layer that reorders results based on product performance metrics, attributes, and user preferences, you can align with your business goals.
  • Whether you aim to increase profitability by showcasing high-margin items at the top of the results page or promote products available in the preferred size or color of the shopper for a higher conversion rate, all of this can be achieved while maintaining search relevance.

Preserve brand reputation with automatic inappropriate content detection

  • Semantic AI identifies negative sentiment in user-generated content and automatically deletes inappropriate posts, reducing the need for manual curation and the risk of human error, ensuring the protection of your brand’s reputation.