Truss provides a data infrastructure for the fashion resale market, aggregating real-time insights from over 25 global platforms. Their APIs and applications enable businesses to optimize pricing, inventory management, and strategic planning with accurate, component-level market data.
Funding
Funding not disclosed
Founders
Product
Problem
The fashion resale market faces challenges with data fragmentation and a lack of standardized, real-time market intelligence. This makes it difficult for businesses to accurately price inventory, understand market trends, and optimize their operations.
Solution
Truss provides a comprehensive data infrastructure for the fashion resale ecosystem. Their platform aggregates and processes data from over 25 global resale platforms, delivering real-time market insights through APIs and ready-to-use applications. This enables businesses to make data-driven decisions regarding pricing, inventory management, and strategic planning. Truss's proprietary data engine ensures high accuracy and provides specialized datasets for AI model training, enhancing operational efficiency and market competitiveness.
Target Audience
Primary customers include resale platforms, brands engaging in recommerce, AI and data teams requiring specialized datasets, and market analysts seeking actionable intelligence within the fashion commerce sector.
Features
- **Market Data API**: Provides real-time access to aggregated resale market data, enabling automated intelligence and integration into existing systems.
- **Resale Pricing Platform**: Offers dynamic pricing recommendations based on millions of verified sales listings, predicting product velocity and optimizing margins.
- **TRUSS Analytics Platform**: Delivers configurable dashboards and widgets for tracking market movements, identifying trends, and monitoring brand equity across global resale markets.
- **Data Annotation Services**: Offers human-led, expert-curated data annotation and sourcing for machine learning models, focusing on fashion-specific nuances and cultural intelligence.
- **Proprietary Data Processing Engine**: Employs advanced techniques for listing deduplication (TLDR™), counterfeit mitigation, and accurate sold item intelligence.
- **Global Data Coverage**: Aggregates data from over 25 major resale and commerce platforms, with weekly updates to ensure real-time market visibility.
- **Component-Level Data Extraction**: Extracts granular product details including style codes, serial numbers, material composition, and release years.