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Transportation

AI Case Studies

Portcast

Freight And Logistics

Portcast is a data analytics vendor promising to optimise logistics for the maritime industry using machine learning

Strategy

Coyote

Freight And Logistics

Coyote improves the accurate reporting of speed limits by 9% using machine learning

R And D

CMA CGM

Freight And Logistics

CMA CGM enhances its cargo ships piloting and collision avoidance techniques through real time object detection

Operations

Deutsche Bahn

Freight And Logistics

Deutsche Bahn reduces maintenance cost by 25% and delay-causing failures using machine learning

Operations

General Electric

Freight And Logistics

GE achieves speed and accuracy in detecting track flaws in real time with machine learning

Operations

Rolls Royce

Freight And Logistics

Rolls Royce demonstrates fully autonomous ship travelling between Parainen and Nauvo in Finland

Operations

SkyTruth

Freight And Logistics

SkyTruth researchers identify transshipment vessels to aid monitoring of suspicious nautical activity using CNNs

Operations

Port of Rotterdam

Freight And Logistics

The Port of Rotterdam is collaborating with IBM to become a smart shipping port using data to boost efficiency and drive down costs

Operations

Chronopost International

Freight And Logistics

Chronopost International ensures on-time deliveries during peak activity with machine learning predictive analytics

Information Technology

Halvor Lines

Freight And Logistics

Halvor Lines increases driver performance by 100% over previous systems using machine learning evaluation system

Human Resources

UPS

Freight And Logistics

UPS enhances customer service through AI-enabled chatbot which assists with tracking packages and finding shipping rates and locations

Customer Service

Port of Rotterdam

Freight And Logistics

The Port of Rotterdam Authority reduces vessel waiting times by 20% with machine learning

Rolls Royce

Airlines

Rolls Royce plans to predict maintenance requirements for jet engines to improve aircraft efficiency using Microsoft Azure's machine learning

Strategy

Transavia

Airlines

Transavia aims at reducing its 2018 carbon footprint by 6500 tonnes using machine learning

Strategy

RyanAir

Airlines

Ryanair monitors the performance of its online service in real time and identifies root cause of issues in minutes compared to hours previously using machine learning

Risk

Singapore Changi Airport

Airlines

Singapore's Changi airport aims to speed passengers through its facility with facial recognition

Risk

University of Essex

Airlines

University of Essex researchers compare machine learning models for improving weather condition classification of images

R And D

Fort Lauderdale-Hollywood International Airport

Airlines

FLL monitors aircraft movement and gets accurate status reports for gates with machine vision and natural language processing

Operations

Heathrow

Airlines

Heathrow Airport tackles delays due to bad weather with the use of AI

Operations

Korean Air

Airlines

Korean Air reduces maintenance defect history analysis lead times by 90% and improves on-time performance with machine learning and natural language processing

Operations

Lufthansa

Airlines

Lufthansa launches interactive ads to attract new customers using natural language processing

Marketing

Norwegian Air Shuttle ASA

Airlines

Norwegian increases public awareness of new new non-stop routes by 94% with the use of AI

Marketing

United Airlines

Airlines

United Airlines manages overbooking issues and last minute changes in flyer travel plans with machine learning

Marketing

Virgin Australia

Airlines

Virgin Australia cuts down the time it takes to build predictive models by up to 90% while boosting accuracy by up to 15% with machine learning

Marketing

Heathrow

Airlines

Heathrow aims at tackling gender bias in job listings using natural language processing

Human Resources

Southwest Airlines

Airlines

Southwest Airlines improves safety and preventes flight anomalies with machine learning

Human Resources

AeroMexico

Airlines

AeroMexico's customer-service can handle as many inquiries as two full-time employees per day through its chatbot

Customer Service

Avianca Airlines

Airlines

Avianca Airlines improves customer experience and cuts check-in waiting times in half with natural language processing

Customer Service

Copa Airlines

Airlines

Copa Airlines enhances online customer experience through a chatbot travel agent

Customer Service

KLM

Airlines

KLM automates responses to over 50% of customer enquiries on social media by implementing a machine learning chatbot

Customer Service

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