Resources | Case Studies | Hypersonix (2)

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

With Hypersonix Competitor AI, a premium beauty brand gained daily visibility into competitor pricing and achieved unmatched product alignment across formats and variants—fueling smarter pricing and stronger positioning.

How a Sporting Goods Retailer Reduced Price Volatility

Facing pressure from marketplaces and niche DTC brands, this retailer turned to Hypersonix to bring clarity to their competitive landscape—and tighten pricing across 100+ activewear and equipment SKUs.

How a Furniture Brand Protected Premium Positioning and Lifted Sales by 18% with Competitor AI

With AI-powered competitive intelligence, the brand reduced mismatches in price comparisons and optimized its pricing posture across key SKUs.

How a Women’s Apparel Brand Increased Margins by 12% with Pricing AI

A direct-to-consumer women’s fashion brand built on Shopify had grown rapidly over the past two years, offering stylish, affordable apparel across dozens of categories. But with rising customer acquisition costs and...

Profit Unlocked: How a Home Improvement Retailer Boosted Profit by 16.52% with Pricing AI

Home improvement retailer achieved a 16.52% profit lift and a 3.7% increase in profit-to-revenue ratio using Hypersonix Pricing AI and Competitor AI—eliminating manual pricing tasks and driving smarter decisions.

How a Sustainable Apparel Brand Lifted Margins by 12% Using Pricing AI

Coalatree, a brand known for eco-conscious, adventure-ready apparel, faced rising challenges in a dynamic market. With fast-changing demand, frequent promotions, and volatile competitor pricing, their static pricing...

Case Study

Pricing Intelligence: How A Leading eCommerce Retailer Increased Profitability by 7%

As an eCommerce retailer, they wanted to ensure they had enough product to meet changing demands. But as demand patterns and price sensitivity became more critical, their ability to liquidate piled-up stock started impacting their bottom line. They needed a better process for anticipating demand and understanding the price sensitivity of their key value items.

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Case Studies