Autonomous recommerce pilot: Agentic AI for second-hand product management.

Purpose and goal

The project aims to develop and demonstrate an AI-driven, fully automated solution that transforms physical second-hand fashion products into sellable digital listings within seconds with high precision. The goal is to significantly reduce time and costs in the digitization process, enable large-scale circular trade, and promote sustainable consumption with reduced environmental impact within the fashion industry. This supports resource-efficient circular economy principles and climate goals.

Expected effects and result

The project delivers an Agentic AI-motor that autonomously handles the entire digitization flow for second-hand fashion with high precision and minimal lead time. The pilot shows concrete savings and creates a scalable reference for commercialization. Through image recognition and smart pricing, manual work and costs are drastically reduced. This creates an efficient and scalable circular fashion trade that contributes to reduced climate impact and puts Sweden at the forefront of innovation.

Planned approach and implementation

The project is carried out in three phases. First, our Agentic AI engine is further developed to automatically analyze images, categorize garments, and set market-relevant prices. Next, a pilot is conducted with a second-hand operator where a fully automated chain from image to finalized listing is tested in real operations. We work in short iterations, train the model on customer data, and continuously adjust based on results. The impacts are evaluated and a roadmap for scaling is defined.