We developed an e-commerce gifting website that allows users worldwide to send gifts to India and Nepal. Leveraging AI, the platform provides personalized gift recommendations tailored to each user’s preferences, making gifting more relevant and meaningful.
Discovery Phase
Objective: Understand the need for a global, personalized gifting solution. Through initial discussions, we identified key requirements: an AI-driven recommendation engine, international payment options, and reliable delivery to India and Nepal. Outcome: A focused roadmap emphasizing personalization, global accessibility, and streamlined delivery.
Planning Phase
Architecture and Technology Stack We selected Python and TensorFlow for the AI recommendation engine, Node.js for backend functionality, and React for the front-end interface. Stripe was integrated to support secure international transactions. Outcome: Defined architecture and tech stack, along with development milestones.
Design Phase
Crafting an Engaging, User-Centric Experience Our design emphasized simplicity and personalization, with AI-driven recommendations displayed on the homepage. The UI guides users smoothly from browsing to checkout, enhancing both ease of use and engagement. Outcome: Finalized high-fidelity prototypes and user flows focused on intuitive gift selection.
AI Integration
Personalized Gift Recommendations with AI Using TensorFlow, we built an AI-powered recommendation engine that analyzes user behavior, preferences, and past interactions to suggest the most relevant gifts. The AI continuously learns from user inputs, improving suggestions over time to deliver a more personalized experience for each visitor. Outcome: A recommendation system that adds value by helping users find the perfect gift effortlessly.
Development Phase
Building Core Features and Integrations In addition to the AI engine, we implemented backend systems with Node.js for efficient order processing and a React front-end for responsive, cross-device functionality. Outcome: A fully functional platform with AI recommendations, prepared for testing.
Testing Phase
Quality Assurance for Recommendations and Usability We conducted rigorous testing on recommendation accuracy, platform usability, and payment security. Cross-border testing ensured consistent delivery and payment functionality for global users. Outcome: A polished platform with reliable recommendations and seamless user experience.
Launch Phase
Deploying the AI-Powered Gifting Platform After final testing, the platform was launched, allowing users around the world to send gifts to India and Nepal, with AI-powered suggestions enhancing the experience. Outcome: A live, user-ready platform offering personalized gifting and global reach.
Post-Launch & Maintenance
Post-launch, we continue to monitor performance, gather user feedback, and optimize the AI recommendations. Planned updates include expanding gift categories and further refining the recommendation algorithm. Outcome: A proactive strategy for continuous improvement and user satisfaction.