The implementation of AI has been looked at as an important component of the stages of the e-waste management process, including organizing and planning the flow of waste and materials, finding the most efficient routes for e-waste scheduling and pickup, and also in conjunction with robotic technologies, the ability to allow for the effective automated pickup of e-waste items which can be differentiated from other forms of garbage (Brazier & Prasetyo, 2023; Nafiz et al., 2023; Madhav et al., 2022; Baker et al., 2021; Huang & Koroteev, 2021; Sipha, 2021; Li, Jin & Krishnamoorthy, 2021; Nowakowski et al., 2020)