Compositional learning research including a novel meta-model for eCommerce

Lead Participant: CLOUDIQ LIMITED

Abstract

The main theme of our project is to improve business and industry efficiency. Our project relates to research into the next generation of AI to help retailers. Geoffrey Hinton, the godfather of deep learning in AI wrote 'Very advanced intelligence is going to involve making communities of intelligent systems because a community can see much more data than an individual system'.

The most successful online retailers, like Amazon, Boohoo and Asos all use AI to power growth that is 30% faster than the average but AI is still hard to access and deploy for the vast majority of online retailers. Cloud.IQ want to help all online retailers access cutting edge AI building on our existing conversion rate optimisation solutions, which is currently used by 400 live merchants worldwide.

Our innovation is in the field of Collective Artificial Intelligence, focused on enabling stand alone, separate deep learning models, to work together towards a single shared objective.

Cloud.IQ already has the data set, AI engineers and a unique plan to deliver and AI solution for E-commerce which will work out of the box for any online retailer. We have validated our proposal with notable AI practitioners and academics, who confirm that this concept is the next evolution in AI. This technology will serve retailers in many ways, at its core it optimises revenue or profit, but beyond this it will help them to more effectively manage their stock with the use of predictive sell-through analytics.

Lead Participant

Project Cost

Grant Offer

CLOUDIQ LIMITED £347,375 £ 208,425

Publications

10 25 50