Consumer Driven Energy Drink Development - Workshop
datasetposted on 10.04.2018 by Samet Isaev, Harris Makatsoris
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
This project explores a novel methodology for design and manufacture of consumer-driven personalised Energy Drinks (ED) using novel technologies developed by the research group. Initially, a novel online crowdsourcing OI platform named ‘Preference Marketplace’ is used to identify consumer’s preferences & sensory attributes for the formulation of ED and then followed by manufacturing of consumer-preferred ED using a novel automated continuous flow manufacturing reactor for sensory evaluation. By combining the two technologies, it is now possible to produce an economical and sustainable on-demand formulated liquid food products that meet consumer needs.