How a Health & Wellness Brand Improved Pricing Precision and Achieved a 2.8% Margin Lift with Competitor AI & Pricing AI

THE RESULTS
38% improvement in product matching accuracy across complex variants (pack sizes, dosages, ingredient mixes)
21 hours/week saved in competitor benchmarking and price updates
2.8% increase in average margins on supplements and personal care SKUs
Background
A national health & wellness brand with a broad portfolio of vitamins, supplements, and personal care products operates in a highly competitive environment. New DTC brands, price-aggressive marketplaces, and private-label competition created challenges for their pricing strategy.
Manual processes and legacy tools made it hard for the brand to:
- Align prices across similar competitor products (especially multi-variant SKUs)
- Adjust prices quickly to reflect market shifts and customer demand
- Protect margins while staying competitive in high-velocity categories
The result? Pricing decisions were often reactive, inconsistently applied, and margin erosive.
The Challenge
- Inaccurate competitive comparisons due to mismatches in dosage strength, pack size, and ingredient profiles
- Delayed pricing updates, leaving them unable to respond fast to competitor moves or seasonal demand
- Delayed insight into competitor moves left teams playing catch-up
- No unified system to balance competitiveness and profitability across channels
- Manual price reviews consuming significant analyst time
The Solution
The brand implemented Hypersonix Competitor AI to gain SKU-level competitive visibility and Pricing AI to dynamically optimize price points:
☑️ Competitor AI
- AI-driven product matching (CommerceLLM + computer vision) aligned SKUs across strengths, formats, and package sizes
- Daily competitive data feeds across marketplaces, DTC brands, and retailers
- Dashboards and alerts highlighted gaps, price anomalies, and over/underpricing risks
☑️ Pricing AI
- Advanced elasticity modeling assessed how price changes would impact customer demand
- Predictive pricing projections informed future market shifts and optimized price adjustments
- A rules engine provided automated pricing recommendations, aligned with margin goals and competitive context
Together, these solutions allowed pricing and merchandising teams to act proactively and with confidence.
The Outcome
- 38% increase in product match accuracy, eliminating pricing errors due to false equivalencies
- 21 hours/week saved, redirecting analyst time from manual tracking to strategic planning
- 19 hours/week saved from eliminating manual site-by-site pricing reviews
- 2.8% margin lift on premium wellness SKUs
- Pricing turnaround time improved by 40%, enabling near-daily competitive responsiveness
The Hypersonix Impact
- Variant-Sensitive Product Matching: Handled nuances in dosage, strength, and pack configurations
- Elasticity-Aware Pricing: Balanced market competitiveness with profitability
- Daily Market Visibility: Pricing teams operated with current, actionable insights
- Operational Efficiency: Analysts moved from manual data gathering to high-value pricing strategy
- Margin Protection: AI-backed pricing decisions prevented unnecessary markdowns and over-discounting
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