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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.

Traction 8/10
Melbourne, Australia · HQ
Founded 2018261K+ followers
  • Retail Technology
  • Artificial Intelligence
  • Commerce & Shopping
  • Software Only
Updated 6 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

1 founder

Brian Walker Brian Walker is an Influencer

Chair & Founder, Retail Doctor Group

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
This profile is AI-generated and may contain inaccuracies.