// CASE_STUDIES
Results From the Field
Every engagement below used AI trained on the client's own data — not a generic model. Numbers are from client reporting, not projections.
Phytesia Hardy Orchids
AI product content integration — IBM Watson era (migrated to Anthropic / xAI)
The Problem
Phytesia is Europe's leading producer of hardy orchids, with an aggressive expansion into the UK and German markets. Their product catalogue was large, specialist, and growing — but organic visibility was near zero. UK organic daily visits sat at 20. A half-time FTE was manually enriching product content one SKU at a time. The UK Home & Garden market requires page-1 Google rankings to drive any meaningful volume — and Phytesia wasn't there.
What We Did
MashnLearn integrated IBM Watson's NLP and text-mining stack directly into Phytesia's product catalogue workflow. The AI scraped, structured, and enriched product content at scale — identifying top-performing keywords, generating SEO-optimised descriptions in English, and creating category-specific product pages. We also built a PPC-optimised content layer and coordinated the Google Shopping feed. Implementation: 10 days.
Results
NoeNature
AI catalogue enrichment integrated into Odoo — brands: Liewood, Jonzac, Banwood (2022)
Multi-brand catalogue enrichment directly inside Odoo. MashnLearn processed product data for three brands simultaneously — Liewood (Scandinavian baby), Jonzac (organic cosmetics), Banwood (children's bikes) — generating localised product descriptions and pushing them into the Odoo product master. The engagement demonstrated the ERP-native integration model that is now the core of our coaching engagements.
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