Retail

We applied machine learning Artificial Intelligence to accurately categorise and predict prospective new client expenditure, increasing profitability per customer by 8%

We used geo-spatial Artificial Intelligence to predict competitor impact in retail branch catchment areas and optimise branch and brand coverage, increasing ROIC by 5%

Universities

We designed and developed the governance and methodology for the application of Machine Learning and AI for a $1Bn p.a Australian university. We then identified over 164 back-office use cases, prioritised and delivered the first five into production. Student success, likelihood to proceed/withdraw among the first use-cases, saving $1M p.a. in the first eight months.

Manufacturing

We developed and deployed AI models to advise operators on steel scrap mix to optimise cost and meet heat chemical specification saving USD $20M p.a. in input cost and reducing product chemistry variability.

Advance warning of process breakouts in steel manufacturing were predicted using ML Models, avoiding heavy fines for contamination and mainting the social contract to operate.

Start-Ups

We trained Artificial Intelligence to match suppliers and consumers seeking health interventions, reducing inefficiency and overservicing by 16% and reducing time-to-intervention by 50%.

We trained Machine learning models to identify potentially fraudulent products in the field using non-destructive NIR scanning technology to fingerprint known bottles and compare with in-market samples achieving 99% accuracy.

Engineering

We taught Artificial Intelligence to recognise the impending failure of power generation equipment, helping management increase plant availability by 6% 

For Airport operations we developed a performant model to predict effluent pump failure, avoiding penalties for late aircraft push-back, and urgent break/fix costs.

Testimonials