Didi to tackle traffic congestion and optimise navigation routes with deep learning

Neopost identifies customers at risk of churn with machine learning using PredicSis

Lyft delivered a 40% increase in potentially fraudulent users detected without increasing false positives by using neural networks

Uber conducts background checks on its drivers using Checkr's AI platform

Eco Marine Power unveils automated control and monitoring systems for ships

Iowa Department of Transportation uses machine learning to monitor traffic flows during winter

JFK International Air Terminal 4 optimises passenger flow with computer vision

Orient Overseas Container Line Limited (OOCL) looking to optimise shipping operations with deep and reinforcement learning

Parkeon predicts vehicle parking space availability using machine learning and predictive algorithms from Dataiku

Ports of Jersey minimises passenger wait times with the use of machine vision

Self-driving bus on Helsinki RobobusLine goes to scheduled service

Stena Line aims to reduce fuel consumption by optimising route planning with artificial intelligence

Uber discriminates price for different customers using machine learning and a variety of sociological data

The Motor Vehicles Department in Kerala detects lack of seatbelt or helmet usage in motor vehicles in with 98% accuracy in trial

BlaBlaCar optimises conversion rate and improves retention with machine learning predictive analytics that integrate data from multitudes of sources

OLA strengthens passenger safety with real-time ride monitoring system based on machine learning

Uber assists its drivers to open retirement accounts with the help of a robo-advisory investment firm

UK Train Operating Companies automates 93% of claim processing and detects fraudulent payback claims for trains delayed by more than thirty minutes with 70% accuracy using machine learning

Uber automates map data issue detection from its customer support tickets

Virgin Trains streamline the labour intensive admin tasks to improve customer service while reducing man hours per day by 90% through cognitive learning

M Subs Ltd provides AI-powered situational awareness technology to unmanned vessels in the Plymouth Sound harbour

Transit city navigation app to optimise public transit ETAs using machine learning

A global transport provider gains a significant competitive advantage by implementing AI for supply chain visibility

Maersk aims to acieve safer and more efficient maritime operations with AI-powered situational awareness system on containerships

UPS aims to avoid trouble spots in its global network by rerouting packages away from snow with machine learning

UPS plans to streamline internal operations by tracking every package and asset in real-time using sensors and machine learning

UPS saves 10 million gallons of fuel and $100 million per year by optimising driver delivery routes that consider real-time traffic and weather information obtained from social media and machine learning

UPS saves over 10 million gallons of fuel and up to $400m in costs annually with advanced telematics and analysis

UPS uses network planning tools to optimise the flow of packages within its network from loading docks to sorting to the final destination

CargoMetrics analyses satellite shipping imagery and plans to to identify investment opportunities based on the data with machine learning