Functional requirements of E-commerce Product Recommendation System with non-functional
Functional Requirements
- User Profile Management:
- Allow users to create and manage profiles, including personal information, preferences, and purchase history.
- Enable users to update their preferences and interests to tailor recommendations.
- Product Catalog Integration:
- Integrate with the e-commerce platform’s product catalog to access product details, categories, and inventory.
- Ensure synchronization with real-time product availability and pricing.
- Recommendation Algorithms:
- Implement various recommendation algorithms, such as collaborative filtering, content-based filtering, and hybrid approaches.
- Provide personalized product recommendations based on user behavior, such as browsing history, search queries, and past purchases.
- Search and Filtering:
- Allow users to search for products and filter recommendations based on criteria such as category, price range, and brand.
- Provide dynamic filtering options based on recommendation results.
- Real-time Recommendations:
- Offer real-time product recommendations as users browse the site or app.
- Ensure recommendations are updated dynamically based on user interactions.
- User Feedback and Interaction:
- Allow users to provide feedback on recommendations, such as liking, disliking, or marking products as irrelevant.
- Use feedback to refine and improve recommendation accuracy.
- A/B Testing and Optimization:
- Implement A/B testing to evaluate the effectiveness of different recommendation strategies and algorithms.
- Provide tools for analyzing performance metrics and optimizing recommendation models.
- Personalized Marketing:
- Integrate with marketing tools to deliver personalized promotions and offers based on recommendation data.
- Allow for targeted email campaigns and notifications based on user preferences and recommended products.
- Analytics and Reporting:
- Provide analytics and reporting tools to monitor recommendation performance, user engagement, and conversion rates.
- Generate reports on recommendation effectiveness, user interactions, and sales impact.
- Integration with Other Systems:
- Integrate with other e-commerce systems, such as customer relationship management (CRM) and analytics platforms.
- Provide APIs for connecting with third-party applications and services.
- Admin Panel:
- Include an administrative interface for managing recommendation settings, algorithms, and user feedback.
- Provide tools for monitoring system performance, adjusting algorithms, and managing data.
- Help and Support Resources:
- Offer access to help resources, including FAQs, user guides, and support contact options.
- Provide customer support through various channels, such as email, live chat, or phone.
Non-Functional Requirements
- Scalability:
- The system should handle increasing numbers of users, products, and recommendations without performance degradation.
- Support for scaling infrastructure to accommodate growth and peak usage periods.
- Performance:
- Ensure fast and responsive interactions, with quick generation of recommendations and updates based on user behavior.
- Optimize performance to handle large datasets and high volumes of concurrent users efficiently.
- Reliability and Availability:
- Ensure high availability with minimal downtime, supported by redundancy, load balancing, and failover mechanisms.
- Implement regular backups and disaster recovery procedures to maintain service continuity.
- Usability:
- The user interface should be intuitive and user-friendly, facilitating easy interaction with recommendations and feedback mechanisms.
- Provide a consistent and seamless experience across different devices and platforms.
- Interoperability:
- The system should integrate seamlessly with the e-commerce platform and other external systems, such as CRM and analytics tools.
- Support standard APIs and data formats for interoperability and data exchange.
- Maintainability:
- Ensure the system is easy to maintain, with clear documentation, modular design, and support for regular updates and bug fixes.
- Implement automated monitoring and logging to identify and address issues promptly.
- Compliance:
- Ensure the system complies with relevant regulations and standards, such as data protection laws (e.g., GDPR, CCPA) and e-commerce regulations.
- Provide features to support auditing, data retention, and regulatory reporting requirements.
- Data Integrity and Accuracy:
- Ensure that all data collected and processed by the system is accurate, consistent, and up-to-date.
- Implement validation checks and data integrity mechanisms to prevent errors and data corruption.
- Localization and Internationalization:
- Support multiple languages and regional settings to cater to a global user base.
- Allow easy adaptation of the system to meet local regulations and cultural practices.
- Accessibility:
- Ensure that the system is accessible to users with disabilities, following web accessibility standards (e.g., WCAG).
- Provide features such as screen reader compatibility, keyboard navigation, and adjustable text sizes.
- Privacy and Data Ownership:
- Ensure that users retain ownership of their data and can easily control, access, and delete their information.
- Provide transparency regarding data usage, sharing, and storage practices, with clear consent mechanisms.