How we engineered a high-converting React web storefront and native mobile app integrated with an AI shade-finder that generated +$420K in net revenue and cut product returns by 54%.
The client had exceptional skincare and cosmetics formulations, but selling online without in-person color matching was causing massive friction. Customers hesitated to purchase, and 28% of orders ended in costly returns due to wrong shade selection.
We engineered an integrated ecosystem: a blazing-fast React web storefront and a native mobile app (built with Kotlin and Java). We integrated a computer-vision AI shade-matching engine that scans skin undertones in real time, generates custom routines, and enables 1-click checkout.
How We Did It
Trained and integrated a proprietary skin undertone diagnostic model capable of accurately matching foundation shades across diverse lighting conditions.
Developed a high-performance React web storefront and native Android app (Kotlin & Java) featuring fluid animations and offline catalog caching.
Built 1-click personalized routine bundles based on AI diagnoses, driving average order value (AOV) up by 42% across mobile users.
Measurable Growth
Selling cosmetics online without in-person shade testing was killing our profit margins with returns. DigiExpand built us a custom web app and native mobile app with an AI shade-finder that customers genuinely love using. Within weeks, our returns dropped by 54% and we generated over $420,000 in additional revenue. Their engineering and AI integration work is truly elite.