Optical Retail Success Story: Driving Higher Profits with AI Pricing Software and Promotion Intelligence
THE RESULTS
Not every eyewear customer is looking for a discount. For some products, brand and style matter more; for others, the right offer can make the difference. Hypersonix helped us understand that distinction. We're now much more selective about where we protect price and where we promote, which has helped us improve profitability without relying on broader discounting.
– SVP of Merchandising & Pricing, Optical Retailer
The Background
An optical retailer selling prescription frames, designer eyewear, sunglasses, lenses, and accessories faced a unique pricing challenge: customers did not shop every part of the assortment the same way. A shopper choosing a designer frame behaved differently from one buying an everyday pair, upgrading lenses, or purchasing seasonal sunglasses.
Yet pricing and promotions did not always reflect those differences. Discounts were often applied too broadly, making it difficult to capture full-price demand on high-value products while directing promotional investment toward products where it could make a bigger difference.
The retailer implemented Hypersonix Pricing AI and Promo AI to make pricing and promotional decisions more precise, demand-aware, and profit-focused.
Industry: Optical Retail
Product Implemented: Pricing AI, Promo AI
Goal: Capture more full-price demand, improve promotional returns, and protect profitability across different eyewear segments.
The Same Discount Didn't Work for Every Shopper
- Designer and premium frames were sometimes promoted even when brand preference and style were stronger purchase drivers than price.
- Discounts were spread across large assortments without knowing which products actually needed an incentive to convert.
- Teams had limited visibility into whether deeper discounts generated enough additional demand to justify the lost margin.
- Frames, lenses, sunglasses, and accessories followed different demand patterns but were often included in similar promotional strategies.
- Manual analysis made it difficult to adapt pricing and promotions quickly as product demand changed.
AI That Identified Where to Protect Price and Where to Promote
Pricing AI
- Evaluated demand strength, historical sales, product positioning, and margin opportunity to recommend more profitable prices.
- Identified premium and high-demand products that could maintain stronger prices without sacrificing expected demand.
- Applied different pricing strategies across different product roles, from everyday frames and lens upgrades to designer collections and sunglasses.
Promo AI
- Identified products where a promotion was more likely to create incremental demand.
- Recommended promotion depth and timing based on expected sales, margin, and product performance.
- Simulated expected promotional impact before launch, giving teams a clearer view of which campaigns were likely to generate profitable growth.
The Results
Better Margins with Smarter Promotions
+5.7% increase in gross profit across priority categories
+29% % improvement in promotional ROI
26% increase in full-price sell-through across selected premium eyewear
39% reduction in low-impact promotional discounts
The Hypersonix Impact
More Confidence to Hold PriceTeams could identify products with strong demand and avoid discounting them unnecessarily.
Promotions Became More SelectiveDiscounts were concentrated on products where promotional activity was more likely to change customer behavior.
Better Margin CaptureTeams considered the expected demand lift against the margin given up before approving price reductions.
Different Products Got Different StrategiesPremium frames, everyday eyewear, lenses, and seasonal products could follow pricing and promotional strategies suited to their individual roles.
Download the Case Study
Get a copy of the full Case Study PDF, and we’ll send it directly to your email.