AI in DPP enabled post-consumer value chain 2/3

Read time: 3 minutes.

Hello everyone,

I hope you are all doing well and about to kick off on your summer time but before your do I give you some food for thought and what I have been plannning on.

Navigating AI applications in various stages of waste management systems have been nothing short of being challenged and immersive. There are challenges and oppotunities at every intersectional stage in the post consumer reverse value chain (PCRVC). It appears alot of the stages are developing in silos and are not interconnected to truly operationalize an effiecient and wider reverse value network. Each stage in the RVC has similarities to other urban waste streams and management systems. What changes is the material or content of the waste and the subsequent detection, diversion and processing methods for valorisation of respective materials.

Additionally, there seems to be an absence of the application of Artificial Intelligence (AI) models in relation to Digital Product Passport (DPP) that offers integration across the post-consumer value chain. Various companies are offering AI-as-a-service (AIaaS) and (Product-as-service) PaaS that are tailored for fashion retailors in the life-extending value stage. There are a number of fashion companies with commercial grade Technology Readiness Level (TRL) in Resale-as-a-service(RAAS) business models. These business models are assisted by various AI models especially in reselling type in serivces. Similarly, there are AI solultions at each of the stages in PCRVC i.e. Services, Collection, Pre-sorting, Sorting and Recycling.

Coming up will be interviews with more practitioners from the services and sorting while looking for practitioners in recycling phase for exploratory discussion. Here, the idea is to get insights from practitioners about the problems and challenges they face in their business and how DPP together with AI can serve their purpose in achieving solutions. Finally, there will be a discussion with an AI expert on how to navigate AI based solutions for DPP enabled PCRVC. For the discussion partcipants to understand the context and the backdrop. The discussions will be semi-structured, guided and exploratory. How should brands prepare for this? What key factors or indicators should they look for when they go out for AI shopping? are some of the questions and answers that might supplement the knowledge collection of Project System Demonstrator at Science Park Borås. through Assoc. Prof. Jonas Larrson. In the absence of literature in the specific focus area, such insights will be valuable for fellow students in preparing for what one of our teacher Ms. Olga Chkanikova calls, "greening the supply chain".

Thank you for your time and wishing you a summer of '69