How big data can help supermarkets tackle food waste

How big data can help supermarkets tackle food waste

How big data can help supermarkets tackle food waste

Each year, approximately 1.3 billion tons of food waste is created globally. In the United States alone, approximately 34 million tons of food is delivered to landfills, which accounts for more than 35% of total landfill waste. These jarring statistics may not be top-of-mind for a supermarket that is clearing out inventory that is unsellable, but they demonstrate that the abundance of food that is not consumed is a serious problem that needs to be addressed, both here in the U.S. and worldwide.

Food waste in landfills and the hazards it creates through the release of harmful methane gas not only present a dangerous scenario for our environment, it is also an issue of concern for any business that is forced to dispose of a significant amount of food, including grocery stores. For a supermarket, which — due to an increased demand for produce and the freshest products, goods that are damaged during distribution, or simply inefficient purchasing — must dispose of food that is unable to be donated, the economic impact of disposal sometimes can be severe.

Read Also:
Artificial Intelligence: Market Overview

Fortunately, there are emerging technologies that can play a role in managing this problem, and provide businesses the opportunity to enhance their operations, help their bottom line, and, most importantly, improve environmental sustainability. It should be acknowledged that food retailers have made progress through industry initiatives and partnerships, such as the Food Waste Reduction Alliance. But these efforts are not enough on their own and may not be the most effective in terms of achieving lasting results.

The best solution that has emerged in recent years is big data.

 



Chief Analytics Officer Europe

25
Apr
2017
Chief Analytics Officer Europe

15% off with code 7WDCAO17

Read Also:
Why our over-reliance on big data shows that we don't trust ourselves

Chief Analytics Officer Spring 2017

2
May
2017
Chief Analytics Officer Spring 2017

15% off with code MP15

Read Also:
How your small business can use big data successfully

Big Data and Analytics for Healthcare Philadelphia

17
May
2017
Big Data and Analytics for Healthcare Philadelphia

$200 off with code DATA200

Read Also:
9 Questions Data Center CEOs Must Ask about Revenue Generation
Read Also:
How Microsoft's other machine learning tricks could make its bots even smarter

SMX London

23
May
2017
SMX London

10% off with code 7WDATASMX

Read Also:
How your small business can use big data successfully

Data Science Congress 2017

5
Jun
2017
Data Science Congress 2017

20% off with code 7wdata_DSC2017

Read Also:
Bridging the Trust Gap: The Hidden Landmine in Big Data

Leave a Reply

Your email address will not be published. Required fields are marked *