- Client Profile:A Singapore-based startup in the skincare affiliate industry aiming to automate customer interactions and product recommendations to maximize affiliate revenue.
- Challenge:The client required an automated system capable of interacting with customers, providing personalized skincare recommendations, and fetching product details from major platforms like Amazon, Lazada, and Sephora. The solution needed to eliminate the need for human agents while ensuring seamless customer experience and profitability.
- YITEC’s Solution:
- Developed an AI-powered virtual consultant capable of engaging with customers via natural language to understand skincare needs and preferences.
- Integrated product search, comparison, and sorting functionalities based on user-defined criteria like price range, brand, and product type.
- Built an automated system to fetch product data from major eCommerce platforms in real-time, ensuring up-to-date recommendations.
- Core Technology:
- Langchain: For orchestrating AI workflows and integrating external data sources.
- Qdrant Vector Database: To enable fast and accurate product retrieval and recommendation.
- GPT-4o Model: For natural language understanding and personalized conversations.
- Serverless Architecture: For scalability and cost-efficiency.
- Selenium: For automated data fetching and web interaction with eCommerce platforms.
- Key Results Delivered:
- Fully automated product recommendation and customer service system with no need for human intervention.
- Enhanced affiliate revenue by increasing customer engagement and streamlining the shopping experience.
- Enabled real-time product fetching and comparison across multiple major eCommerce platforms.
- Value to the Client:
- Significantly reduced operational costs by replacing manual customer support with an AI-driven system.
- Improved customer satisfaction through fast, accurate, and personalized recommendations.
- Scaled affiliate earnings by ensuring continuous, automated customer engagement and product updates.