AI in post-consumer value chain 1/3

Hello,

I hope you are all doing well. 

It has been a few weeks since I started my research assistant internship (RAI) with Jonas Larrson, mapping artificial intelligence (AI) in the post-consumer value chain. The value chain has been categorised into various stages from collection to recycling. As you all know, AI is an emerging field, and its use has been evolving constantly in the field of textiles with the help of data. Some uses, such as prediction and optimisation of production planning, quality, sales, purchasing, etc.,  are carried out through different types of neural network models such as KNN, Random Forests, Decision trees, Logistic regression, YOLO, Genetic Algorithms, etc., which allow companies to be more efficient.

These AI models are also being researched, tested and commercialised in the post-consumer value chain for waste valorisation. A recent discussion with a smart bin service provider revealed an operational commercial case of textile waste management with the help of remote sensing and data. The company was turning conventional bins into smart bins by adding sensors to monitor waste levels and optimise logistical routes for pick up. Similarly, there are sorting facilities which are deploying machine learning models together with various imaging devices to classify textile waste based on colour, fibre composition, woven/knitted, etc., to channel materials for different value streams.

I look forward to knowing more about the vast uses of AI and technology in the post-consumer value chain for textiles.

Best of luck and keep greening!

Majid Alvi
Student
TVCM
1/3