Lehlah

Lehlah redefines social shopping by allowing creators to share their favorite products through engaging videos and images, directly influencing purchase decisions. Jetbro's mission was to develop a comprehensive tech infrastructure that supports this unique social commerce experience, making shopping seamless and interactive.

Challenges

Lehlah faced several key challenges:

• Implementing an intuitive and engaging platform for video-based social shopping.
• Integrating advanced image recognition to enhance product discovery.
• Developing a robust backend to handle dynamic content and user interactions.
• Integrating affiliate links with major brands for seamless shopping.
• Personalizing user experiences to boost engagement and sales.

Solutions Provided

Jetbro addressed these challenges through:

• Comprehensive Tech Team Deployment: Providing a dedicated team for mobile app, backend, web app, admin panel, and DevOps.
• HLS Player & M3U8 Implementation: Ensuring high-quality streaming for video content.
• TensorFlow for Image Recognition: Integrating TensorFlow to enable sophisticated image recognition capabilities.
• React Native Mobile Development: Building a cross-platform mobile app with React Native for a unified user experience.
• Node.js Backend Development: Crafting a scalable and efficient backend with Node.js.
• AWS Personalization: Utilizing AWS for tailored recommendations, enhancing the personal shopping experience.
• Affiliate Integration: Seamlessly connecting with top brands like Myntra, Nykaa, and others for direct product purchases.
• Spotlight Feature for Story-like UI: Creating an engaging UI with a spotlight feature to showcase products in a story-like format.

Outcomes

The collaboration resulted in:

• A highly interactive and user-friendly social shopping app. Enhanced product discovery through advanced image recognition.
• Personalized shopping experiences leading to increased user engagement and sales.
• Strong affiliations with top retail brands, expanding product variety and availability.
• A robust and scalable platform capable of handling dynamic social content.

Technologies Used

The tech stack employed for this project included:

• Mobile Development: React Native for a cohesive and responsive mobile app.
• Backend System: Node.js for a sturdy and efficient backend.
• Image Recognition: TensorFlow for cutting-edge image recognition capabilities.
• Streaming Technology: HLS Player & M3U8 for high-quality video content streaming.
• Personalization: AWS Personalization to deliver tailored user experiences.
• Affiliate Integration: Seamless integration with various top-tier retail brands.