I am a teacher at University of Economics in Bratislava at Faculty of Business Informatics. One of the areas I am specialised in is optimisation of Queueing Theory.
It is a theoretical optimisation based on probability which is forecasted from average values of specific store. It is mostly the number of cash registers as well as number of customers and the time they spent in a queue line.
At University we use difficult formulas and you are not able to apply them for the whole day (all opening hours) but just for each hour separately and it is a lot of calculation. For example the formula which determinate the probability of the empty queue line looks like this:
I think everybody agrees it is not so self-explanatory as this:
Or in case I would like to know when there are the long queues and more staff is needed. Again a quick look at this picture shows all I need:
And these are just a few examples why I was impressed by Pygmalios. The University gives you a theory and knowledge but everybody knows it doesn’t make sense if you don’t apply them in real life. There is nothing better for a person from the academic field than to have a chance to work with real data and to verify his own knowledge, ideas and statements or to get the new knowledge based on research of real data.
Pygmalios is not just the opportunity to connect the theory with practice but it is also the perfect way how to increase my own knowledge in the company of skilled people and to go forward. New possibilities, new clients, new ideas every day and especially the creative and unique approach are the reasons why I am glad to be a part of this company.
Pavel Gežík, Customer Success Analyst