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Onezero8

Onezero8 provides an AI‑driven platform that automatically recognizes, classifies, and prices second‑hand garments using deep‑learning computer‑vision and dynamic pricing algorithms. By delivering visual feature extraction, condition scoring, and market‑aligned valuations via real‑time APIs, it helps resale platforms, second‑hand retailers, and up‑cycling projects streamline inventory listing, reduce manual labor, and support circular fashion initiatives.

London, United KingdomFounded 20224200+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Fashion retailers and resale platforms struggle to efficiently identify, classify, and price second‑hand garments, leading to high labor costs, inaccurate listings, and significant textile waste.

Solution

Onezero8 offers an AI‑driven platform that automates garment recognition and categorisation for resale and up‑cycling markets. Using computer‑vision models trained on large apparel datasets, the system extracts visual features, material attributes, and condition assessments from images of clothing items. These insights are combined with pricing algorithms to generate accurate, market‑aligned valuations and metadata for each piece. The platform integrates via APIs into existing inventory and e‑commerce systems, enabling retailers, resale operators, and up‑cycling projects to streamline listing creation, improve inventory visibility, and reduce manual processing time. By providing scalable, data‑rich garment intelligence, Onezero8 helps businesses increase resale throughput while supporting circular fashion initiatives.

Target Audience

Primary customers are online resale platforms, second‑hand retailers, and up‑cycling initiatives that need to catalogue and price large volumes of used apparel efficiently.

Features

  • Deep‑learning computer‑vision models that detect garment type, brand logos, patterns, and fabric characteristics from photos
  • Automated condition scoring (e.g., wear, stains, defects) to inform pricing and resale suitability
  • Real‑time API for seamless integration with inventory management, marketplace, and ERP platforms
  • Dynamic pricing engine that suggests optimal resale prices based on market trends and garment attributes
  • Bulk processing capability for large inventories, reducing manual tagging effort
  • Dashboard for monitoring classification accuracy, inventory turnover, and sustainability metrics
This profile is AI-generated and may contain inaccuracies.