Climate footprint reduction, Sustainable E-Commerce with AI Technology
| Reference number | |
| Coordinator | Novainvent AB |
| Funding from Vinnova | SEK 1 917 000 |
| Project duration | November 2024 - April 2026 |
| Status | Completed |
| Venture | Climate-neutral e-commerce |
| Call | Climate-neutral e-commerce - Conversion to a sustainable e-commerce with a focus on sustainable packaging systems, return handling and delivery locations |
Important results from the project
VSIZE developed an AI-based fit engine that matches 3D foot data to shoe geometry to reduce fit-related returns. IBV’s foot scan is combined with a parametric model and 3D analysis. The core technical goals were met: the engine is operational and validated. In a pilot with Scorett, it was confirmed that 71% of returns are fit-related. The method was scaled to thousands of shoes without physical scanning and provides insights for better last design — a step towards more sustainable shoe retail.
Expected long term effects
Sustainability: fewer fit-related returns reduce transportation and unnecessary replacement purchases — one avoided bucket corresponds to about 10.6 kg CO₂e. Scaled, the potential is significant. Market: e-commerce is moving towards agentic commerce, where AI agents shop for the customer. For shoes and clothing, structured body data is required, and VSIZE is built to be that data source and can be expanded from foot to full body. Industry: data-driven last design adapted to European foot shapes.
Approach and implementation
Four work packages: Novainvent (coordinator), Boid (UX/design), CIT (AI development) and Scorett (pilot), with IBV as technology partner. The work was conducted with standing reconciliations every two weeks and shared tools (SharePoint, Trello, GitHub). The schedule was mainly followed. Sharp customer tests were not fully completed; instead, the fit work with CIT was deepened, with several development decisions and insights about size scaling. The collaboration with IBV was strengthened.