Perspiq is an AI-powered catalog enrichment solution tailored for fashion retailers, designed to bridge the gap between product listings and the nuanced language shoppers use. By integrating advanced AI with expert oversight, Perspiq enhances product data to improve search accuracy, reduce zero-result searches, and increase revenue influenced by search.
Key Features and Functionality:
- AI-Driven Enrichment: Utilizes models trained on over 900,000 retail attributes from real fashion catalogs, ensuring a deep understanding of fashion-specific contexts.
- Expert Verification: Combines AI outputs with human expertise, where high-confidence data is auto-published, and uncertain outputs are reviewed by fashion experts before integration.
- Contextual Understanding: Captures trends, occasions, moods, and style signals, enabling the catalog to reflect terms like "quiet luxury," "date night," or "effortless."
- Seamless Integration: Compatible with existing commerce platforms, search engines, and data pipelines through API and cloud integration.
Primary Value and Solutions Provided:
Perspiq addresses the challenge of shoppers being unable to find products due to inadequate catalog data. By enriching product listings with contextually relevant attributes, it reduces zero-result searches by 60-85%, enhances product discoverability, and lifts search-driven revenue by 10-25%. This leads to a more intuitive shopping experience, aligning product data with the language and expectations of modern consumers.
