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

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THE RESULTS

Competitor AI Results38% improvement in product matching accuracy across complex variants (pack sizes, dosages, ingredient mixes)

Competitor AI Results21 hours/week saved in competitor benchmarking and price updates

Competitor AI Results2.8% 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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