The field of logistics plays a pivotal role in modern society and the economy. However, it also has a significant environmental impact. In order to address this issue, it is imperative for logistics to become more sustainable. One effective solution is the use of cargo bikes and light electric vehicles for last mile delivery, as they are more eco-friendly compared to traditional delivery vehicles. To optimize the use of cargo bikes and create sustainable last mile logistics, delivery service providers must implement novel optimization strategies that account for the unique characteristics of cargo bikes and city hub architecture. The research project “Green Delivery Analytics” aims to develop a logistics planning tool with the goal of addressing the challenges of sustainable last mile logistics by incorporating advanced data analytics and optimization techniques regarding transport planning and the localization of micro-hubs. This paper presents a software vision for the aforementioned planning tool, developed using the Rational Unified Process (RUP). This process was employed to determine the necessary design of the software to fulfill the necessary functions and business processes. To this end, an analysis of relevant stakeholders and associated data was conducted. The software vision is presented and discussed for further development.