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Transportation & Logistics

Transportation & Logistics

Increase logistics operations efficiency

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With Machine Learning, logistics operations can be optimized by:

predicting traffic and shipping volume by sophisticated traffic modeling
automatic visual inspection of cargo by Computer Vision algorithms
optimizing cargo load and route planning

Projects in Transportation & Logistics

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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.

Monitoring Urban Growth and Change

We as an AI software provider developed, with the help of computer vision, an algorithm for monitoring & predicting urban change.

Smart Access Control with Facial Recognition

Machine learning and security systems: Development of a multi-level system with facial recognition and automated access control using AI.

Extracting information from customer requests

As a machine learning service provider, we used natural language processing (NLP) to make software for extracting information from customer requests.

Blog Posts in Transportation & Logistics

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Computer Vision

The best (Python) tools for remote sensing

By Emilius Richter August 2nd, 2022

Python tools for remote sensing using machine learning: Comparison of Python software for data retrieval and processing of satellite data read here.


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.


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.

Theory & Algorithms

Machine Learning Approaches for Time Series

By Julius Richter • December 18th, 2019

Expand your machine learning knowledge of time series, serial sequences & recurrent neural networks (RNN) with this professional introduction.

Use Cases in Transportation & Logistics

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