Catalogue cleanup

Catalogue cleanup is likely the fastest B2B cash wedge. It does not require a merchant to believe in AI. It solves an obvious problem: fragrance product data is messy, duplicated, incomplete, and hard for shopping feeds to understand.

Inputs

• Shopify products via app install.
• CSV upload.
• WooCommerce/Magento export.
• Distributor line sheets.
• Google Merchant feed.
• Manual retailer product list.

Outputs

• Canonical brand and fragrance match.
• Concentration and size parsing.
• Flanker and variant disambiguation.
• Note and accord enrichment.
• SEO title and description suggestions.
• Schema fields.
• Google Merchant, Meta, TikTok, Pinterest, and CSV exports.
• Before/after confidence report.

Workflow

1. Import product rows.
2. Normalize titles, brands, sizes, concentrations, and SKUs.
3. Fuzzy match to the corpus.
4. Assign confidence tier.
5. Send low-confidence rows to review.
6. Export corrected feed.
7. Offer ongoing subscription for future catalogue changes.

Revenue surfaces unlocked

• Catalogue cleanup service.
• Product feed enrichment.
• Fragrance schema/SEO generator.
• AI shopping visibility audit.
• Wholesale line-sheet enrichment.
• Retail buyer dashboard.
• Returns/blind-buy reducer.