Returnall
Category: AI in Supply Chain / Logistics
An AI-powered reverse logistics solution that automates the inspection, grading, and data analysis of e-commerce return products using high-speed Vision AI. Returnall was founded in 2023. The company is led by Daegun Yoon. Based in Daejeon, South Korea. Team size: 10-50. Total funding raised: ₩2.5B. Latest round: Pre-Series A. Key investors include Bluepoint Partners, Laguna Investment, Korea Investment Accelerator, ETRI Holdings, MYSC.
- Founded
- 2023
- Headquarters
- Daejeon, South Korea
- Team size
- 10-50
- Total funding
- ₩2.5B
Value proposition
Reduces return processing time and labor costs by automating manual inspections and ensuring objective quality grading.
Products and solutions
Vision AI Automated Inspection Station, Returneeds SaaS, AI Grading System, Reverse Logistics Center Operations
Unique value
Eliminates human subjectivity in return inspections using vision algorithms for fine defect detection.
Target customer
Fashion e-commerce brands, 3PL providers, online marketplaces.
Industries served
E-commerce, Fashion & Apparel, Logistics
Technology advantage
Leverages non-destructive testing technology transferred from ETRI and proprietary deep learning models.
How they differentiate
Differentiation through Vision AI-powered physical inspection hardware/software versus purely digital return portals.
Main competitors
Return Lab, Reloop, Panda Returns
Key partnerships
Musinsa, Ably, MKM Corporation, ETRI
Notable customers
Musinsa, Ably, MKM Corporation
Major milestones
Founded July 2023, TIPS selection July 2024, DATA-Stars 1st Place 2025, Cumulative 2.5B KRW investment 2026
Growth metrics
Reached ₩2.5 billion in cumulative funding within 2.5 years; onboarding over 60 fashion brands.
Market positioning
Specialized Deep-Tech Logistics provider for high-volume fashion e-commerce.
Geographic focus
South Korea
Patents and IP
Vision AI-based automated return inspection systems and data collection methods.
About Daegun Yoon
Daegun Yoon is an expert in AI and machine vision with a background in hardware manufacturing and e-commerce business development. He is currently a Ph.D. candidate in Artificial Intelligence at Ajou University, specializing in deep learning applications for logistics. Prior to founding Returnall in 2023, he spent years planning products and optimizing supply chain processes in the e-commerce sector.
Official website: https://returneeds.com/