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AI Use Case

Optimise website experience to improve engagement and conversion rates

Optimise website experience and engagement to improve online shopping cart stickiness and to maximise wallet size. Typically this works best at scale and using enabled data analytics platforms.



Digital Marketing


Revenue - Customer engagement,Revenue - Customer proposition optimisation (content)

Case Studies

Coop UK~The UK Co-op improved website conversation by 11% using an artificial intelligence powered marketing platforms,"US Cellular~US cellular increases customer lifetime value by 61% by analysing website visitor behavior against online and offline sales, subscriptions and renewals using machine learning","Namaste Technologies~Namaste Technologies plans to increase average order value, customer retention and conversion rates using machine learning through acquisition of Findify technology",Stonewall Kitchen~Stonewall Kitchen improved email open and conversion rates by 10 and 4% respectively through predictive modelling,GoDiva~Godiva boosts website wide customer conversion rate by 24% by offering personalised recommendations to online visitors using machine learning,Wall Street Journal~Wall Street Journal improves visitor to subscriber conversion rates by optimising experience to match machine learning modelled propensity to subscribe ,Facebook~Facebook optimises sellers' listings on Marketplace using AI,Facebook~Facebook enhances buyer and seller interactions on Marketplace through their automated AI assistant ,Adidas~Adidas improves online outfit recommendations with the use of machine learning

Potential Vendors

StoryStream,Cardinal Path,Findify,Salesforce,Reflektion,Facebook,Facebook,FindMine


Data Sets

Structured / Semi-structured,Time series

AI Technologies

Machine Learning (ML),Traditional AI,ML Task - Prediction - Generation,ML Task - Action Selection - Reinforcement Learning ,ML Task - Prediction - Binary Classification,ML Task - Prediction - Data Translation/Transformation,Product - Eye Tracking,Model Architecture - Deep Neural Networks,Algorithm - Generative Adversarial Network (GAN),Model Architecture - Artificial Neural Network (ANN),ML Task - Grouping - Clustering,Product Type - NLP - Natural Language Generation,Product Type - Natural Language Processing (NLP),ML Task - Prediction - Multi-class Classification,ML Task - Prediction - Regression,Product Type - Vision - Face Emotion,Product Type - Vision - Face Identification

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