SFR Store

This capability allows users to search SFR's catalog using natural language queries, leveraging NLP techniques to parse and understand user intent. It utilizes a combination of keyword extraction and semantic analysis to match user queries with relevant products, ensuring accurate and context-aware search results. This implementation is distinct because it integrates directly with the catalog's backend API, allowing for real-time data retrieval and updates.

This capability enables users to refine search results through a set of dynamic filters based on product attributes such as price, category, and availability. It employs a reactive programming model to update the displayed results in real-time as filters are applied, ensuring a seamless user experience. The architecture allows for efficient querying of the product database, minimizing load times and enhancing interactivity.

This capability allows users to build and update their shopping carts dynamically, including adding products, adjusting quantities, and applying discounts. It integrates with the backend to ensure that cart updates are reflected immediately across sessions, using websockets for real-time communication. This approach enhances user experience by providing instant feedback on cart changes without needing to refresh the page.

This capability streamlines the checkout process by integrating various payment options and shipping methods, allowing users to complete their purchases quickly. It employs a modular architecture that supports multiple payment gateways and dynamically adjusts based on user selections. This design choice enhances flexibility and user choice, making the checkout experience smoother and more efficient.

This capability provides quick answers to user inquiries regarding store policies, such as return policies, shipping times, and customer service contact information. It uses a structured knowledge base that can be queried using natural language, allowing users to receive accurate and relevant information without navigating through multiple pages. This implementation is distinct because it combines a user-friendly interface with a robust backend knowledge management system.