What can restaurants learn from Central Banks?
Restaurants and Central Banks seem unlikely dining companions – trendy and hip vs staid and serious. But one area where…
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What is demand forecasting and where does it work best?
Demand forecasting or demand planning is an approach that attempts to forecast or predict what demand for a product or…
South Africa wastes 10mn tons of food a year
Globally, food production must increase by 70% by 2050 to meet the demand. Yet nearly one third of all food…
Reducing food waste through better demand planning
10+ million tons of food is wasted each year in South Africa. Retailers are using machine learning/AI to reduce food waste through demand forecasting.
Why forecasting matters for businesses
Imagine not checking the weather before packing to go away on a trip or not checking the traffic before beginning…
Machine learning in the workplace
Given the complexity of data science, clear and intuitive communication of results is of the utmost importance. While most firms are good at collecting data, this data is rarely exploited to its full potential.
The challenge of forecasting sales, stock and staff during COVID-19
There is no tougher challenge than seismic environmental unpredictability for retailers, restaurateurs and the hospitality trade, who are left to…
Economists as data scientists
Many economists think of themselves as primarily economists and don’t realise that they share many tools and areas of interest with data science.
What has the Nobel prize in Economics got to do with Predictive Insights?
We’re very excited by the award since these three economists have been responsible for developing, applying and popularising a set of analytical tools we use.
The future of fast food – Johan Fourie
South Africa’s fast food industry is a textbook example of a competitive industry. No franchise dominates the market: while KFC…
