Cinni AI ‑ Product Tagging

Develop by Cinnamon Search LTD

Free plan available

Automate fashion product tagging for better search and cross-channel SEO.

Seo optimization

Automated product tagging

Fashion-specific ai

Enhanced search conversion

Category taxonomy

About Cinni AI ‑ Product Tagging

Launched Mar 30, 2025

Built by Cinnamon Search LTD

Address

15 Westland Place, London, ENG, N1 7LP, GB

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Description

Maximise your Conversions by putting Product Tagging on Autopilot using Fashion Specific AI.

We use AI trained specifically on Fashion to add hyper detailed tags to your products (in-store search conversion) and add Category taxonomy to improve conversions through cross-channel selling (SEO) If you aren't using AI for product tagging and taxonomy you are either 1/ wasting resources manually updating products 2/ leaving conversions on the table by not maximising tags and taxonomy. Use Cinni AI to put your product tagging on Autopilot.

Enrich product data with hyper specific tags to improve in-store search
Put Category Taxonomy on autopilot, maximising cross channel selling through SEO
Populate custom metafields using AI rather than human resource

Pros

Automates the product tagging process, reducing manual effort.
Uses AI trained specifically on fashion, ensuring relevant and detailed tagging.
Enhances in-store search conversion by adding hyper-specific tags.
Improves cross-channel selling and SEO with automated category taxonomy.
Enables better resource allocation by reducing the need for manual tagging and taxonomy updates.
Populates custom metafields using AI, saving time and human resources.

Cons

Requires trust in AI accuracy for fashion-specific tags.
Potential for initial setup complexities or integration with existing systems.
May involve ongoing costs that could be higher than manual tagging, depending on app pricing.