IBM Uses Machine Learning to Lower Bottling Costs

IBM is helping Niagara Bottling lower production costs by using IBM Watson machine learning to gauge how far plastic film can stretch around bottle cases without breaking.

You're probably familiar with the thick plastic wrapping around a 24-pack of water bottles. The plastic is usually strong enough to prevent bottles from slipping through when carried. Water bottle manufacturers try to stretch this plastic during production to save money. However, there's a risk of breakage, which can cost a company the money it's trying to save. Therefore, water bottle manufacturers—such as bottled water company Niagara Bottling—are turning to IBM machine learning(ML) and artificial intelligence (AI) to help optimize the right amount of plastic that automatic pallet stretch-wrapping machines use. Ontario, California-based Niagara Bottling operates hundreds of these machines across more than 24 plants.

To read more, visit:

https://in.pcmag.com/tableau-desktop/128581/ibm-uses-machine-learning-to-lower-bottling-costs (Accessed on February 13, 2019)