How a Beauty Brand Improved Product Match Accuracy by 32% and Strengthened Margin with Competitor AI

THE RESULTS

32% improvement in product matching across shades, sizes, and formats

18 hours/week saved from manual price benchmarking

2.2% lift in average margin across skincare and cosmetics

35% faster pricing response time to competitor movements

Background

A national beauty and personal care brand selling across both DTC and major retail partners was facing rising competition from marketplace-first brands, international labels, and fast-growing DTC disruptors.

With thousands of SKUs varying by size, finish, shade, and format, accurate competitor benchmarking was a challenge. Existing tools struggled to properly align like-for-like products—leading to inconsistent pricing and pressure on margin integrity.

The Challenge

Inaccurate product comparisons, especially across shade ranges and kit formats
Delayed pricing visibility, making it difficult to respond confidently to market shifts
Manual workflows consuming time and risking pricing errors
Lack of centralized competitive intelligence to support coordinated pricing across channels

The Solution

By deploying Hypersonix Competitor AI, the brand gained:

Daily competitive price updates across retailers, marketplaces, and brand DTC sites
LLM-powered product matching using image, text, and variant data to align SKUs by type, shade, size, and usage
Geofenced price visibility to monitor pricing by region for physical retail competition
A rules engine to flag high/low price deviations and recommend strategic adjustments

With this, the pricing and merchandising teams could price confidently and act decisively—with clean, contextualized market intelligence.

The Outcome

Product match accuracy improved by 32%, especially for skincare sizes and cosmetic shade variants
Pricing reaction time improved by 35% through automated insights and alerting
Margin improved by 2.2% across core SKUs by aligning prices more precisely to market conditions
Saved 18 hours per week of manual research and site-by-site tracking
Enabled unified pricing decisions across eCommerce and wholesale teams

The Hypersonix Impact

Smarter Product Matching: AI-powered matching accounted for format, size, finish, and shade nuance
Faster Market Visibility: Daily competitor price data created pricing agility
Operational Efficiency: Analysts focused on strategy—not manual scraping
Margin Protection: More accurate positioning reduced price undercutting risks
Cross-Team Alignment: Competitive data became a shared source of truth for pricing teams