Demand Forecasts and Analytics for Restaurants
Operating in South Africa, UK & IRE, USA, Canada, Australia, New Zealand, Malaysia, and the Middle East, we have improved our clients’ demand forecasts by 50% on average. Additionally, we also offer predictive analytics that drive other features such as dynamic pricing, promotion efficiency, uncovering new trends and target markets, as well as end-to-end data strategies. Through a combination of economics, data science, artificial intelligence (AI), and behavioural insights, we help customers in various industries, including restaurants, food processing, retail, hospitality, and financial service sectors.
We are part of the Alphawave Group, a specialised technology investment group enabling the best in their field to create successful tech businesses.
Predictive Insights’ forecasts (up to 18 months ahead) feed into the analytics we provide to customers, ultimately helping them make data-driven decisions to:
- Boost revenue
- Save time
- Optimise business operations
We are listed as one of the 35 most innovative South African 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.
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.
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.
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.
Emma Terblanche
Data Scientist
Holds a master’s degree in Economics from the University of Stellenbosch. Works closely with clients to investigate sales patterns in different contexts. Analyses complex datasets to uncover meaningful insights and inform decision-making, with a focus on reporting and visualisation.
Qudsiya Brey
Data Scientist
Top Master's student in Data Science at UWC (2023). Presented research findings to UWC leadership and the Siyaphumelela Conference 2023, contributing to discussions on enhancing student success in South African higher education. Specialise in data visualisation and reporting to help clients enhance operations and boost sales. (Interest in art, anime and gaming).
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.
Kirk Höll
Project Manager | Business Analyst
Expertise in supply chain, system integration, and business intelligence. Currently pursuing his second degree: BSc in Math & Computer Science. Focuses on project management and data-driven operations at Predictive Insights.
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.
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.
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.
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