ABD SOCIETY & UNC CHARLOTTE’S

DATA ANALYTICS SPEAKER SERIES

[WEBINAR]

Predicting Food Consumption using Machine Learning in a 10BN People World

Thurs, JUNE 18th, 2020

12pm - 1pm

WATCH RECORDING

MEET our speaker

Renata Bade Barajas | LinkedIn

Co-Founder and CEO at GreenBytes

Renata has a background in mechanical engineering and sustainable energy engineering. Her work and studies have taken her to the United States, Germany, France, and Iceland. She has experience as a CAD Technician and has worked in research and development for new bearing designs for wind turbines. Renata has written a thesis on a multi-criteria wind energy site assessment process that considers social, environmental, and efficiency factors from both the energy production and electricity transmission points of view. She has worked in a national energy company assessing wind energy forecasts as well as worked in restaurants, which ultimately led to the creation of GreenBytes which you will be hearing about this webinar.

PRESENTATION TOPIC

Predicting Food Consumption using Machine Learning in a 10BN People World

US restaurants generate up to 33 billion pounds of food waste every year which is the equivalent of throwing 42.9 billion dollars away every year. Restaurants typically operate at a profit margin of 3-5% meaning they cannot afford to be throwing so much food away.

GreenBytes is a forecast service provider for food retailers that uses machine learning algorithms to predict future food consumption. By predicting future sales, the tool can optimize inventory and operational costs. By providing dynamic data analytics and breaking it down in terms that are immediately relevant for key food retail players the tool brings the power of computing to traditionally conservative and “old school businesses”.

The restaurant industry is notorious for being either the late majority or laggard adopters of new technology. GreenBytes uses data to stimulate economic growth to bring academia and business together. Join in the discussion to learn how the tool combines research and development and uses analytics strategically to enable restaurants to optimize resources and conduct day to day business more efficiently as well as sustainably.