National AI Awards 2026 Finalist - AI SME Business of the Year
AI Retail Merchandising
The purpose-built platform that turns product images into complete, schema-validated catalogue content - at scale, in 40+ languages, with AI Provenance Protocol compliance built in.
Deployed live with Grosvenor Flooring. 976% online revenue growth. 1,000-product backlog cleared without adding headcount.
What does an AI retail merchandising platform do?
Most retailers are managing a product content problem. New ranges arrive faster than they can be written up. Existing descriptions are thin, inconsistent, or missing attributes entirely. Manual copywriting does not scale - and generic AI tools produce freeform text that still has to be reformatted before it goes anywhere near a PIM or ecommerce platform.
An AI retail merchandising platform is different. merchi.ai generates structured product attributes, descriptions, taxonomy classifications, and lifestyle imagery from product images - in 40+ languages, against a fully configurable schema, with an AI Provenance Protocol tag on every content item. The output goes straight into your systems. Not a draft that needs a human to finish it.
That is what Grosvenor Flooring used to clear a backlog of over 1,000 products and achieve 976% online revenue growth - without adding headcount. The work is a National AI Awards 2026 Finalist entry for AI SME Business of the Year.
Platform capabilities
Six core capabilities that replace manual product content workflows with consistent, AI-generated output at catalogue scale.
Product Data Generation
Generates structured product attributes, descriptions, taxonomy classifications, and lifestyle imagery from product images. Not freeform copy - schema-validated output your systems can use directly.
Taxonomy Classification
Automatically classifies every product against your category tree. Visual attribute recognition from images - no manual tagging. Consistent classification across thousands of SKUs.
Native Multi-Language Output
Content generated natively in 40+ languages - not translated. Each language is written independently for cultural and SEO relevance. A single batch produces publish-ready content for every market.
Brand Voice Control
Upload your brand tone of voice, category-specific tone profiles, stop word lists, and golden examples. Every product generated - regardless of volume - follows them consistently.
Bulk Processing at Scale
ZIP upload, spreadsheet import, or API integration. Process an entire range in a single batch - thousands of SKUs processed to the same schema, ready to publish.
AI Provenance Protocol
Every piece of AI-generated content is tagged with its model, prompt version, and generation timestamp. An open standard for responsible AI content attribution - built for EU AI Act compliance.
Why AI merchandising is different from AI content tools
ChatGPT can write a product description. merchi.ai generates schema-validated product data. The distinction matters when you are managing thousands of SKUs and need output your systems can actually use.
| Capability | Generic AI tools | merchi.ai |
|---|---|---|
| Schema-validated structured output | ||
| Taxonomy classification from images | ||
| Lifestyle imagery generation | ||
| AI Provenance Protocol tagging | ||
| Configurable per-client data schema | ||
| 40+ languages natively generated | ||
| Batch processing (ZIP / spreadsheet) | ||
| Can write a product description |
AI retail merchandising in practice: Grosvenor Flooring
Grosvenor Flooring arrived with a backlog of over 1,000 products - flooring planks, tiles, and sheet vinyl - that needed consistent descriptions, accurate technical attributes, and lifestyle imagery. The previous approach involved agency copywriters and took months per range. The backlog kept growing.
976%
online revenue growth
Grosvenor Flooring
1,000+
product backlog cleared
without adding headcount
Finalist
National AI Awards 2026
AI SME Business of the Year
The deployment covered product data generation, taxonomy classification, and lifestyle imagery across a catalogue of flooring planks, tiles, and sheet vinyl - all processed to a consistent schema and published without manual intervention. The full implementation is documented in the Grosvenor Flooring case study.
Capabilities at a glance
- Languages
- 40+
- Input modalities
- Product images, ZIP uploads, spreadsheet import, API
- Output
- Descriptions, attributes, taxonomy, lifestyle imagery, alt text, FAQs
- Schema
- Fully configurable per client - any attribute structure
- Compliance
- AI Provenance Protocol on every content item
- Deployment
- Live production - Grosvenor Flooring
Who is AI retail merchandising for?
merchi.ai is built for retailers where product content quality is a bottleneck - from independent retailers with 500 SKUs to multi-channel operations with tens of thousands.
Ecommerce Director
The problem: Product backlog growing faster than the team can clear it. New ranges sit unpublished for weeks.
The outcome: Entire catalogues processed in days. Consistent, publish-ready content across every SKU.
Head of Merchandising
The problem: Product data is inconsistent across the catalogue. Attributes are missing, categories are wrong.
The outcome: Schema-driven output - every product has the same attributes in the same format. No gaps.
Digital / IT Lead
The problem: Building a room visualiser or conversational search tool in-house is months of engineering work.
The outcome: Deployed features - AI Room Visualiser, AI Floor Finder - integrated with your product catalogue from day one.
SME Owner / Founder
The problem: Cannot justify hiring a content team to write descriptions for 500+ products.
The outcome: The economics change entirely. A backlog that would take months and significant cost clears in days.
See the platform working on your catalogue
Book a 20-minute demo and we will show you how merchi.ai handles product data generation, taxonomy, and imagery for a catalogue like yours. Or start a 30-day free trial and run it yourself.