AI in Circular Economy Marketing: Promoting Product Longevity and Recycling through Data-Driven Campaigns

Abstract

Product longevity and recycling are cornerstones of marketing strategies for a circular economy to diffuse effectively in encouraging sustainable consumption. Artificial Intelligence transforms these by extracting data-driven optimization out of them. Based on this, the following research investigates. How AI might better the functions of circular economy marketing in effective targeting of campaigns, offering personalized consumer experiences, and being more conscious about the environment. AI enables marketers to design campaigns through customer data analysis that conveys durability, repairability, and recyclability for extended life spans of a product. AI also identifies and reaches sustainability-oriented consumers while offering the possibility to optimize resource allocation for targeted messaging. Through predictive analytics and customer segmentation, brands can create personalized recycling programs and foster environmentally responsible consumption habits. This research has identified how AI can provide an enabling force in driving innovations in circular economy marketing, thus enabling a reduction of waste by businesses as they engage with customers on sustainable practices.