dida Logo
Home › 
Industries › 


Increase retail operations efficiency

Preview image

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

Projects in Commerce

View all projects

Legal Review of Rental Contracts

Through dida's expertise in the field of natural language processing (NLP) we succeeded in creating a software for the legal review of rental agreements.

Automatic Checking of Service Charge Statements

With machine learning and NLP: Read about the development of software for the automatic verification of settlements using artificial intelligence.

Semantic Search for Public Administration

Machine learning and information extraction: dida's AI-based algorithm simplifies business registrations through intelligent semantic search.

Numeric Attribute Extraction from Product Descriptions

Machine learning & natural language processing (NLP) for online platforms: Development of a software for information extraction from product descriptions for Idealo.

Predicting Potential Reach of Video Ad Campaigns

As an AI-IT software provider, we designed software for Ströer that provides accurate simulations to predict the performance of advertising campaigns.

Blog Posts in Commerce

View all blog posts

Project proposals - the first step to a successful ML project

By Emilius Richter July 18th, 2022

For a software provider, the project proposal is the first step toward meeting the needs of the customer. In this article, I will describe the most important modules in machine learning project proposals.


Ethics in Natural Language Processing

By Marty Oelschläger (PhD) December 20th, 2021

Learn more about the ethics in natural language processing (NLP), the societal impact of machine learning (ML) & why caution should be exercised.

Natural Language Processing

GPT-3 and beyond - Part 2: Shortcomings and remedies

By Fabian Gringel October 24th, 2021

Expand your knowledge about GPT-3 and read here about opportunities, weaknesses & troubleshooting as well as alternatives of the AI-based language model.

Natural Language Processing

GPT-3 and beyond - Part 1: The basic recipe

By Fabian Gringel September 27th, 2021

Read here about how GPT-3 works, as well as its dangers & applications, and learn how you can try a GPT-3-like model for free.

Computer Vision

CLIP: Mining the treasure trove of unlabeled image data

By Fabian Gringel June 21st, 2021

Contrastive language image pretraining (CLIP): Read about the functionality as well as applications of the CLIP model, a zero-shot image classifier.


21 questions we ask our clients: Starting a successful ML project

By Emilius Richter May 21st, 2021

Read about the 21 relevant questions that should be considered & answered upfront to start a successful machine learning software project.


Enhancing Search with Question Answering

By Angela Maennel April 26th, 2021

Read here about how open domain question answering systems work & how they can improve your website's search function.


The best image labeling tools for Computer Vision

By Dmitrii Iakushechkin • April 8th, 2021

Read here about the best image annotation tools for computer vision tasks. Everything from the installation to illustration with an example.

Use Cases in Commerce

View all use cases