Seken AI: artificial intelligence applied to your data
Seken AI is a data enrichment and activation platform that transforms product and customer data into structured, consistent, and usable information. Through classification, normalization, and analysis, it creates a richer database that enables personalization and automation across multiple touchpoints: from semantic search to dynamic pages and merchandising, and from audience segmentation to the shopping assistant. Born within the eCommerce context, it is applicable to any scenario where there is a need to improve data quality and use it to generate measurable experiences and results.
Seken AI puts data at the center and allows it to guide you in your business choices.
Seken AI enrichment
Seken AI enrichment is the base level of the platform: the engine that “understands” your catalog and finally makes it usable in a consistent way, even when the starting data is incomplete, messy, or written differently from brand to brand.
We start from product sheets (titles, descriptions, attributes, categories, technical sheets) and transform them into structured and normalized data: characteristics, intent of use, needs, variants, and signals useful for segmentation. In practice, enrichment adds depth and consistency to the catalog, creating a solid information base on which to build truly personalized experiences.
It is a step we always perform, regardless of which of the 4 modules you activate: because higher quality and greater granularity of classification mean better segmentation, and therefore better results in Semantic search, Product discovery, Audience, and Shopping assistant.
What you get, concretely:
A “clean” and interpretable catalog (less ambiguity, more uniformity)
New classification dimensions ready to use for filters, rules, and personalization
A common base that makes merchandising, recommendations, and dynamic content scalable without continuous manual work.
The Modules
Semantic search Find products starting from the user's intent, combining keywords and semantics for more relevant results.
Product discovery Dynamic categories, landings, and showcases that populate automatically and optimize themselves with merchandising and performance rules.
Audience Advanced segmentation and profiles based on behavior and customer history, to personalize content, products, and communications.
Shopping assistant A conversational assistant that guides the purchase, answers questions, and suggests products in a way that is consistent with the catalog and the customer.