Platform Story

Are your customers finding the right products?

Lettria automatically suggests better links and attributes to enrich your product catalog, and helps your customers find relevant search results and recommendations.

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See how it works

"Lettria relieved our business teams. They can now focus on validating high value-added suggestions and save a lot of precious time."

Côme Cothenet

Gaëtan Belbeoc'h, Head of Digital Experience

Automate your growth

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Increase your Average Order Value.

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Product specialists spend hours thinking about all the ways to name and classify products. Lettria automatically processes your data and suggests ways to enrich your product catalog.

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Stop losing time during brainstorming sessions.
Generate suggestions coming from market and competitors' expertise.
Power your search bar with additional insights.

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Main Features

Discover our main features

A team of data science experts

50+ integrations available

Data cleaning platform and API

Open-source-based technology

A team of expert linguists

Secure architecture

4+ years of expertise in AI and NLP

A personalized onboarding

Real-time data transfer

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Stand out from the crowd

Your customers expect more from you.

Lettria transforms your tree-structure or taxonomy into an ontology, by creating and suggesting categories, attributes and relations between them. On average our clients triple their number of concepts.

72%

of e-commerce sites fail
site search expectations

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43%

is the average increase in
conversions from

site search optimization

Request a demo

Drag and drop your documents in the format of your choice

All your text document, from financial reports to process sheet are supported by our platform.

Build your model, with the help of our experts data scientists

The first prototype of your AI chatbot will be available in 15 minutes.

Test your model and improve it with our team

Our team will contact you to help you get onboarded on our tool.

With ChatGPT

With Lettria

Talk with our NLP expert

Keep reading

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Research & Benchmarks

Bist-Parser: an end-to-end implementation of a Dependency Parser

This article is the second and last article on Dependency Parsing. We will give you some easy guidelines for implementation and the tools to help you improve it.