Tackling the Global Waste Problem: Innovation in Plastics

The concept of the “machine customer” envisions a future where intelligent software and devices make purchasing decisions autonomously, transforming how businesses operate. These machine customers will meticulously compare prices, analyze data, and even negotiate, bypassing traditional marketing strategies that appeal to human emotions. Companies will need to adapt by focusing on data quality, product performance, and delivery terms to appeal to these algorithm-driven shoppers. While this shift promises efficiency and cost savings, it also introduces risks, such as the exploitation of policy loopholes and increased cybersecurity challenges. Early adopters of machine shopping interfaces could become the next leaders in e-commerce, while those who fail to adapt risk being left behind.

Tammy has 10 years of experience managing journals and creating content for associations. She is a freelance writer and editor who has worked in healthcare, higher education, and online media. She has a graduate degree in journalism from Carleton University in Ottawa, Canada, and a bachelor’s degree in English literature from the University of Waterloo, in Waterloo, ON, Canada.  Tammy is well equipped not only to maintain the quality of the content but to move the journal forward.