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Retail, E-commerce & Marketplaces

Increase retail operations efficiency

© unsplash/Victor Xok

With Machine Learning, (e-) retailers operations can be optimized by:

  • automatic tagging and classification of articles from text or image data

  • forecasting product demand and optimize pricing

  • identifying fraudulent products, suppliers or clients

Case Studies related to Retail, E-commerce & Marketplaces

Natural Language Processing

Legal review of rental contracts

Different methods from the field of NLP helped us to create a software that spots errors in legal contracts.
Our solution
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Natural Language Processing

Semantic search for public administration

dida developed an AI based algorithm to extract relevant information from authority documents.
Our solution

Webinars related to Retail, E-commerce & Marketplaces

Automated answering of questions with neural networks: BERT

In this webinar we will present a method based on the BERT model for automated answering of questions.

Mattes Mollenhauer

Machine Learning Scientist

Semantic search and understanding of natural text with neural networks: BERT

In this webinar you will get an introduction to the application of BERT for Semantic Search using a real case study: Every year millions of citizens interact with public authorities and are regularly overwhelmed by the technical language used there. We have successfully used BERT to deliver the right answer from government documents with the help of colloquial queries - without having to use technical terms in the queries.

Konrad Schultka

Machine Learning Scientist

Jona Welsch

Machine Learning Scientist