AI case studies from the real-world
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'Rooms to go' uses Machine Learning to offer tailored add-on options to customers
Rooms To Go
1-800 Flowers deploys chatbots to offer a personalised gift buying experience that will increase customer engagement and sales
1-800 Flowers
20th Century Fox and IBM Research reduce movie marketing production time by using machine learning to select scenes for a movie trailer
20th Century Fox
30SecondsToFly struggles to scale the automation of SMB corporate travel management with the deployment of text chatbots
30SecondsToFly
7-Eleven improved customer marketing and in-store capacity planning in Indonesia and Mexico using machine learning to predict demand variations
7-Eleven
A UK registered charity predicts visitor flow to its building with Markov chain algorithms
UK Registered Charity
A global transport provider gains a significant competitive advantage by implementing AI for supply chain visibility
Global Transport Provider
A large european bank identifies issues in post-trade operations by analysing mailboxes with the use of machine learning
Large European Bank
A large european integrated electric power company is predicting, diagnosing and reducing equipment failures in conventional power plants with machine learning
Large European integrated electric power company
ANZ bank identifies high risk loans and predicts customer defaults with deep learning
ANZ Bank
ARUP saves 790 engineering hours using machine learning to detect utility clash points planning a light rail system for Auckland
Arup
ASOS eliminates the risk of inaccurate data entering finance systems by implementing a machine learning solution for invoice handling
ASOS.com
ASOS.com researchers demonstrate improved customer lifetime value predictions using neural networks and automatic feature selection but do not advise implementation due to increased cost
ASOS.com
AT&T monitors its network constantly offering seamless service and plans maintenance and upgrades optimally using machine learning
AT&T
AT&T pulls sales leads from multiple systems to automate data entry into legacy systems using Robotic Process Automation
AT&T
AXA UK saves 18,000 people hours in six months by deploying bots to handle repetitive tasks
AXA
AXA used deep neural networks to increase the predictability of a customer large traffic accident from 40% to 78%
AXA
Abbvie achieves 90% cumulative medication adherence among patients with schizophrenia using image recognition
Abbvie
Abellio London claims it reduced bus collisions and injuries by 29% and 60% respectively with collision avoidance technology
Abellio London
Abundant Robotics device autonomously harvests apples using machine vision to identify appropriate fruit
Abundant Robotics
Acer America improves service by decreasing repeat caller rate by 15% with responses powered by natural language speech recognition.
Acer
Action Against AMD and Benevolent AI aim to find treatments for age-related macular degeneration (AMD) that causes blindness using machine learning
Action Against AMD
Acxiom improves opportunity-to-close problems for their sales team, claiming near-100 percent renewal rate, with machine learning
Acxiom
Adidas learns from its consumers' design creation to better anticipate future demand trends using machine learning
Adidas