Chair & Founder, Retail Doctor Group

Okkular
Okkular provides AI-powered catalog enrichment for large retailers, transforming product images, feed fields, and API data into structured metadata and channel-ready descriptions. The platform applies consistent taxonomies across categories like fashion, furniture, and homewares to improve search, filters, and visual product discovery. It supports export or API integration with existing catalog workflows.
- Retail Technology
- Artificial Intelligence
- Commerce & Shopping
- Software Only
Funding
Funding not disclosed

Founders
Product
Problem
Large retail catalogs often suffer from inconsistent, incomplete, or channel-specific product metadata, making it difficult for shoppers to find products through search and filters. Manual tagging is slow, inconsistent across teams and suppliers, and fails to scale across thousands of SKUs and multiple sales channels.
Solution
Okkular provides AI-powered catalog enrichment services that transform product images, feed fields, and API-provided data into rich, structured metadata. The platform generates consistent attributes across categories—such as color, material, style, fit, and occasion—and produces channel-ready product descriptions governed by brand rules. By applying a structured taxonomy to every SKU, Okkular ensures product data remains consistent across segments, categories, and channels, improving search ranking, filter functionality, and visual product discovery. The system is configurable per retail segment and integrates with existing catalog workflows via API or export.
Target Audience
Retailers and e-commerce operators managing large, multi-segment catalogs across fashion, furniture, homewares, and other product categories who need consistent, discoverable product data at scale.
Features
- Attribute extraction from product images, feed fields, titles, descriptions, specifications, and API data
- Structured taxonomy covering product type, color family, pattern, material, style, shape, usage, occasion, and search synonyms
- Category-specific configurations for fashion, furniture, homewares, craft, outdoor, and more
- Channel-ready product descriptions governed by brand-specific rules for Amazon, Shopify, and marketplaces
- Visual similarity features including matching silhouette, similar print, pattern, and neckline for product discovery and recommendations
- Export or API integration with existing catalog workflows for streamlined delivery