Linguistic Shopping Assistant Li.S.A. - AI with intent discovery

Li.S.A. delivers AI-based results using the relevant skills in each situation

"On average, retailers who use Findologic's AI-based solution, Li.S.A. see a 50% increase in conversion."

Results have been calculated based on a series of A / B tests performed in mobile search

Search that understands

Delivering an optimal shopping experience

Findologic’s A.I. platform, Li.S.A., discovers the fundamental intent of each user via pioneering middleware. Rather than exclusively processing the relevance of a search query’s text, Li.S.A drills into the intent and behaviours of a user throughout their customer journey.
On mobile specifically, Li.S.A. has spearheaded a new way of understanding and interacting with users.
Our team of data scientists are experts in what they do and are consistently working to ensure that our Platform is utilising the latest technologies to develop a fluent product that understands customers better than any other. Language models such as BERT and other established methods under the natural language processing umbrella feed into the development strategy.

Here are some more examples:

Browse the brand world
Intent: When someone searches generically using a brand term, their intent is to browse all shelves/departments in an online shop to see items from that one chosen brand.
Skill: Li.S.A. does not simply deliver a series of hundreds of results, but applies a skill that enables the user to see the shelves and departments from
that brand only.

 

Show me what you like
Intent: When a user searches generically for an item such as "shirt", they want to see the kinds of shirts that are of interest to them – “the shirts I will like”
Skill: Li.S.A. does not simply deliver a series of hundreds of results, but applies a skill that enables the user to reveal which shirts he finds appealing. Once a user starts looking at certain types of shirts they find appealing, Li.S.A. will suggest more similar items.
Select your requirements 
Intent: When a user makes a generic search for a wide product category such as “sofa”, they are really saying: "I want to buy a sofa, but I don't know how to narrow down my search."
Skill: Li.S.A. does not simply deliver a series of hundreds of results, but applies a skill that asks the user a set of questions to help them progress their search - based on product properties and their requirements.
Here is an overview of our range of lamps
Intent: When a user searches generically using a term like “lamp” they’re often not aware of the full scope of lighting products available to them. "I need more light in my apartment, but I don't know anything about lamps and I want to get an overview of what is available in the shop and perhaps some inspiration.”
Skill: Li.S.A. does not simply provide a series of hundreds of results, but rather applies a skill that gives an overview of the lamps range and allows the user to refine the search once they are more familiar with what’s available.

Integrate Li.S.A., our AI-based linguistic virtual shopping assistant, into your online store.

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Case Studies

Customer Success Story:
Background and challenges

Lucky Bike – Warum eines der führenden Fahrradhandelsunternehmen auf Findologic setzt

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Customer Success Story:
Findologic offers service par excellence for every online shop!

Design Bestseller – How the online shop extends the search to a powerful on-site merchandising tool.

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