30% Sales Growth: Driving Personalized Recommendations with AI-Powered Health App
AI-powered health measurement app improved user engagement, personalized beverage recommendations, and increased sales through health-aligned insights.
30%
Sales growth: AI-driven product suggestions boosted upsell transactions in U.S. vending machines.
20%
Increase in user engagement: Customers actively used facial scans for health-based recommendations.
91.7%
Accuracy in health readings: Anura SDK ensured precise biometric measurements, boosting user trust and adoption.
About the client
A global beverage giant with products sold in more than 200 countries, known for its commitment to innovation in flavor development and customer experience enhancement through data-driven solutions.
The problem
The client relied on traditional marketing methods and reactive product recommendations, which did not account for individual consumer health considerations. Additionally, the client’s loyalty program lacked personalization, offering one-size-fits-all rewards that failed to resonate with consumers on a personal level.
The solution
The client, with support from Turing, developed an AI-powered health measurement app that integrated facial recognition technology to provide personalized beverage recommendations based on real-time health data:
- Custom wrapper for SDK integration: Turing developed a custom wrapper to integrate the non-native Anura SDK with React Native, enabling the app to measure vital statistics like hydration and stress levels through facial recognition.
- User interface development: Designed an intuitive user interface that simplified navigation and ensured seamless facial scanning and beverage recommendation processes.
- Backend system engineering: Built a scalable Java backend to handle real-time health metric analysis, ensuring efficient data processing and swift response times during peak usage.
- Real-time admin panel: Developed a React JS-powered admin panel for operational management, allowing administrators to configure recommendation parameters and view metrics in real-time.
The result
- 30% uplift in beverage sales: Personalized recommendations based on real-time health data led to a significant increase in sales.
- 20% increase in customer engagement: The app's health-driven recommendations led to a higher level of customer interaction with the brand.
- 91.7% success rate in health readings: The integration of the Anura SDK ensured accurate and reliable health measurements, fostering user trust.
- Quick market entry: Agile development practices enabled rapid app deployment, accelerating time-to-market for a demo release.
- Increased brand loyalty: Health-based recommendations tied to the client’s loyalty program fostered stronger consumer loyalty.
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