Predictive Insights

To the People who Run the World's Kitchens: We're Giving You Your Time Back.

You didn't get into hospitality to stare at a screen - you got into it for your customers. We exist to put forecasting and execution tools in the flow of service, not on top of it.

Economics with an Apron on.

Predictive Insights was born from a simple realization: gut feel doesn't work in the quick-service world. As part of the Alphawave Group - a specialized technology investment group dedicated to building world-class tech businesses - we set out to solve the execution crisis between the boardroom and the floor.

We turned behavioral economics and demand forecasting into a tactical daily partner: YooDoo on WhatsApp. From morning setup to end-of-day sign-out, it's automated, guided, and built for managers who are already in motion.

Trusted where execution matters

From regional groups to global brands, Predictive Insights is the quiet partner helping operators run on numbers, not noise. We don't replace manager judgment; we put the right signal in front of them at the right moment.

From "Gut Feel" to "Done."

Moving beyond intuition into timely, data-led prompts, without pulling anyone off the floor.

Prep & production accuracy

Forecasts tied to your POS replace static printouts so prep volumes and timing follow demand, not yesterday's habit.

P&L visibility

Labor leakage and COGS drift show up as concrete prompts: staff the line for the lunch you're about to see, not the lunch you remember.

Predictive labor & WhatsApp

YooDoo delivers short, structured messages managers already know how to use, so adoption happens in the workflow, not after a training course.

Ready to reclaim your time?

Join the operators who have traded guesswork for precision, without giving managers another login to forget.

Our people

We're a team of operators, data scientists, and product builders backed by Alphawave - focused on one thing: making sure the work on the floor gets easier, not harder.

Neil Rankin

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

Rulof Burger

Chief Scientific Officer

Rulof leads model development and the behavioral economics team at Predictive Insights. He is a professor of economics at Stellenbosch University teaching econometrics, game theory, and behavioral and labor economics. He earned his doctoral degree from the University of Oxford.

Lize Monametsi

Lize Monametsi

Chief Growth Officer

Lize leads strategic growth, market expansion and new product delivery. With deep experience scaling B2B and B2C software across sectors - from retail and education to healthcare, finance, and energy - she solves customer problems with revenue generating products. Her approach blends strategic insight with cutting-edge tech to unlock new markets and elevate user experiences.

Qudsiya Brey

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. Specializes in data visualization and reporting to help clients enhance operations and boost sales. (Interest in art, anime and gaming).

Hannes Coetsee

Hannes Coetsee

Analytics

Hannes works within the Insights and Modelling team at Predictive Insights, turning point-of-sale and operational data into the forecasts and insights that guide decisions on the floor. He focuses on analysis, modelling, and reporting that help operators run leaner, more responsive services.

Abongile Njokwana

Abongile Njokwana

Data Scientist

Abongile is a data scientist on the Insights and Modelling team at Predictive Insights, working with client data to build and refine the models behind our forecasts. He focuses on analysis and reporting that turn raw operational data into clear, actionable insight.

Cobus Burger

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.

Emma Terblanche

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. Analyzes complex datasets to uncover meaningful insights and inform decision-making, with a focus on reporting and visualization.

Jean van Schalkwyk

Jean van Schalkwyk

Analytics Engineer

Jean is an analytics engineer at Predictive Insights, focused on building practical, technology-driven solutions that turn complex challenges into tangible time and cost savings for operators. A BSc Computer Science graduate with an entrepreneurial streak, he pairs strong technical aptitude with the discipline to deliver under pressure.

Paul Armstrong

Paul Armstrong

Senior Data Engineer

Paul is a senior data engineer at Predictive Insights with a demonstrated history across the finance and media industries. A creative problem-solver, he specialises in data modelling, Python, and much of the .NET stack and AWS platform, building the infrastructure that keeps our data pipelines running.

Prof. Custer Murwamuila

Prof. Custer Murwamuila

Head of Software Engineering

Custer leads software engineering at Predictive Insights, setting technical direction across system design, architecture, and cloud delivery (AWS, Azure, and GCP). An award-winning developer, engineering manager, and mentor, he pairs hands-on technical leadership with a strong focus on AI strategy and enterprise-grade delivery.

Hendrik van Broekhuizen

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.

Johan Meyer

Johan Meyer

Software Engineer

Johan is a software engineer at Predictive Insights, building backend and full-stack systems with commercial experience across fintech-adjacent domains. A molecular systems biologist by training (MSc cum laude, Stellenbosch; research at EMBL-EBI), he works strongest in TypeScript, Java/Spring Boot, and C#/.NET, bringing quantitative rigor and systems thinking to everything he builds.

Nureshka Viranna

Nureshka Viranna

Product Manager

Nureshka is a strategic, entrepreneurial product leader at Predictive Insights, with a track record of launching digital products across eCommerce, EdTech, and non-profit sectors. She pairs data-driven insight with design thinking to build products that balance commercial success with real impact, and was recognized as a Forbes 30 Under 30 for her contributions to digital transformation.

Raeeqah Kilshaw

Raeeqah Kilshaw

Product Designer

Raeeqah is a product designer at Predictive Insights, crafting digital experiences that are intuitive, engaging, and built around real human needs. With experience across the financial, business, and eCommerce sectors, she blends strategy, creativity, and research-backed thinking to turn ideas into interfaces that resonate.

Kirk Höll

Kirk Höll

Business Operations

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.