15/1/19

Robots and Artificial Intelligence Taking Over the Food Industry

Important changes such as robots and the use of artificial intelligence are being introduced to the food supply chain to improve its efficiency. Learn more about other benefits related to the implementation of these technologies.

Artificial Intelligence
Robots and Artificial Intelligence Taking Over the Food Industry

In the midst of the Fourth Industrial Revolution, an increased sophistication of current technologies allows for an optimization of the food supply chain. The use of robotics and automation has seen considerable growth in the food industry. A study from the Packaging Machinery Manufacturers Institute affirms that nine out of ten processing and packaging companies are adopting robots to increase food safety, reduce work-related injuries and raise efficiency.


Paired with artificial intelligence, such technology enables food manufacturers to track their products as well as consumer demand to then match production to this demand through data analysis. While robotics increases efficiencies by automating tasks that can be repetitive, dull or rather dangerous, AI proposes a mean for companies to recognize waste and other inefficiencies.

Bob Doyle, vice president of the Robotic Industries Association, expressed that contaminated food can be detected with the data gathered from artificial intelligence and robotics, helping decide whether it should be removed from the supply chain. In his words, "If there is a food recall, you know exactly which batch was potentially contaminated and where the food went,” waiving the unnecessary disposal of non-affected foods. Furthermore, with this data, large food recalls can be alleviated as they can be uncovered before it heavily impacts the public.

Read more on this topic by clicking here.

Want to learn more?
Download the ebook
Related blog articles

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
20
Feb 2018

Worximity will be part of the Supercluster Scale AI

English
5
Feb 2019

A Montreal with an AI flavor

English
7
Jan 2019

Artificial Intelligence in the Food Industry: Six areas of application

English

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Hand interacting with a futuristic digital interface displaying “2024,” AI icons, and technology symbols, representing emerging technology trends, artificial intelligence, digital transformation, innovation, and future-focused business strategy.
9
Jan 2024

Manufacturing Trends to Lookout for in 2024

As we look at manufacturing trends for 2024, pressure to stay on top of current trends and maintain competitiveness are at an all-time high

English
Automated bottling and packaging line in a manufacturing facility, with glass bottles moving through production equipment, representing production throughput, manufacturing output, operational efficiency, and process performance.
5
Dec 2023

Understanding takt time in manufacturing

Through real examples and practical insights, discover why measuring and monitoring takt time is the path to optimized production.

English
nfographic illustrating the major sources of Overall Equipment Effectiveness (OEE) losses in manufacturing, showing categories such as downtime, speed losses, and quality losses that impact production performance and operational efficiency.
15
Nov 2023

Decoding the OEE Calculation: Translating OEE Metrics into Tangible Losses

The following OEE funnel is a great way to visualize how losses in availability, performance, and quality impact OEE and your throughput.

English