The furniture industry is a thriving industry in the past decades all over the world. The increase in production and sales of furniture products means that more raw materials are needed and more furniture waste is produced at the same time. Taking into account the unsolved environmental issues, it is necessary to make innovation changes to reduce the waste and overcome the continuously increasing resource consumption. Circular economy draws a wide attention under this situation. As an alternative to replace the traditional linear consumption model, it balances the economic development and environmental concern. Turning waste into a new resource is a profitable opportunity for the furniture industry. However, product recovery in this industry meets obstacles due to the character of the furniture.This study considers discarded bulky furniture products. It focuses on the first step of furniture waste recovery: the collection process. The aim of this research is improving the efficiency of a “many to one” collection process in a reverse logistics system and increasing the recovery level within the hierarchy of options for discarded furniture. By using the soft system methodology, this study explores the current discarded furniture collection situation within Europe and then analyzes each essential element of this collection system. After that, combining with the relevant circular economy theory and information gathered from a case furniture company, we design a new conceptual business process model for discarded furniture collection.In the newly designed model, the collection process is carried out by the individual transport option with sufficient capacity from customer’s home to the furniture store. The new model is based on a collaborative lifestyle information platform. By managing the real-time information, the platform aligns individuals’ transport resources with discarded furniture demand to reduce the transport cost of the collection process. This model aims for optimal use of the available individual resources to complement the transport process. Moreover, this information platform helps to collect information in the early stage to reduce the uncertainty of reverse logistics.