Scaling premium pet care at the speed of AI.

The Catalog Scaling Problem

Masco Beauty was growing fast across multiple product categories (shampoos, paw and nose care, tear stain care, ear care, packs) and operating in multiple languages/markets. But every launch introduced repetitive catalog work: rewriting product descriptions, standardizing benefits and ingredient claims, updating variants, and maintaining consistent taxonomy across Shopify collections. Manual updates couldn’t keep pace with new drops and seasonal pushes.

Inconsistency Was the Hidden Bottleneck

As the SKU count increased, small inconsistencies started compounding: different tones across product pages, missing or uneven attribute coverage (coat type, use-case, frequency, size), and collection copy that didn’t reflect the latest positioning. The team spent too much time on “catalog maintenance” and too little time on merchandising, creative, and growth.

Structured Product Data for Better Merchandising

ButterflAI helped translate product knowledge into structured catalog fields, standardizing key attributes and turning them into reusable building blocks for descriptions, metafields, and collection templates. That made it easier to keep product pages consistent, improve on-site discoverability (filters, browsing), and reduce errors when products were duplicated or localized for new markets.