Predictive Insights is a leader in behavioural science and artificial intelligence to improve business efficiency and profitability. Through a combination of data science, machine learning and behavioural insights, we help customers to accurately predict sales, staffing and stock levels. Our solution improves sales forecasting on average by 50 percent. We operate in Africa as well as Europe, Middle East and India in the restaurant, food processing, retail and financial service sectors.

We are part of Alphawave, a specialised technology investment group supporting businesses seeking to do things that are complex to replicate.

Predictive Insights is a specialist forecasting company.

We build accurate and bespoke forecasts which draw on diverse data sources, insights from economics and behavioural science, and the latest methodologies including machine learning and econometrics.

How do we do it?

We combine our own curated data, with yours, and then use cutting edge forecasting methodologies to make accurate predictions which can be used for your business.

What are the benefits?

These accurate forecasts can be used to drive business processes like demand planning, stock optimisation, staff scheduling, and dynamic pricing, improving overall performance and efficiency.

Our Approach

We work with our clients to understand the business problem that needs solving as well as the information and data they have. We then analyse how our solutions could fit with their processes. Finally, we design a solution based on one of our existing products or develop a bespoke product. Given our extensive experience and suite of existing products, we can quickly build an effective solution. We then maintain the solution or product to make sure that it continues to deliver value.
If the client wants to build internal capacity, we work together to transfer the ability to maintain and modify the product to the client’s team.

We are listed as one of the 35 most innovative South Africa based Machine Learning companies.

Our Team

Our team at Predictive Insights is focused on delivering excellent work and actionable outcomes for our customers. We come from a combination of academic, tech and business backgrounds. Our work is credible, we work collaboratively with our customers and always follow an ethical, academic approach.

Neil Rankin
Chief Executive Officer
Neil leads product development and implementation, and manages the Predictive Insights team. He is a trained micro-economist with a doctoral degree from the University of Oxford.
Rulof Burger
Chief Scientific Officer
Rulof leads model development and the behavioural economics team at Predictive Insights. He is a professor of economics at Stellenbosch University teaching econometrics, game theory, and behavioural and labour economics. He earned his doctoral degree from the University of Oxford.
Kevin Kotzé
Chief Technology Officer
Kevin is responsible for the technical infrastructure Predictive Insights uses, as well as leading the development of time-series models. He has a PhD from Stellenbosch University, is an Associate Professor in the School of Economics at the University of Cape Town and served on the board of large fund management companies in South Africa & the Channel Isles.
Richard Barry
Business Development
Richard has a background in software development and building customer centric technology products. He has a computer science and electrical engineering background; and completed his graduate studies at the University of Stellenbosch.
Cobus Burger
Senior Data Scientist
Cobus’s core responsibility at PI is building models and extracting insights from data. He completed his graduate training at the University of Oxford and the University of Stellenbosch, and has received numerous awards for both his academic and modeling work.
Diana Pholo
Data Scientist
Diana works on natural language processing, integrating machine learning models into web applications, and front-end development. She has nine year experience lecturing at the Tshwane University of Technology, and holds both an MTech in Intelligent Industrial Systems, and an MSc in Electrical and Electronic Systems.
Hendrik van Broekhuizen
Senior Data Scientist
Hendrik develops and maintains PI’s internal toolkit and technical infrastructure. He oversees the full data pipeline process from ingesting raw data to delivering actionable insights through reports, dashboards and integrations. He completed his doctoral studies at the University of Stellenbosch.
Mahlatse Mashala
Data Scientist
Mahlatse focuses on understanding business problems where data and machine learning can be applied and then undertaking the analysis, generating insights, and building the machine learning models. She has BCom Honours degree in Financial Analysis and Portfolio Management from the University of Cape Town.
Michael Hamman
Data Scientist
Michael works on data integrations, engineering and the machine learning infrastructure at Predictive Insights. He completed his master's degree in economics at the University of Stellenbosch.

Follow Us