Functional requirements of E-commerce Product Recommendation System with non-functional

Functional Requirements

1. 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.
2. 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.
3. 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.
4. 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.
5. Real-time Recommendations:
   • Offer real-time product recommendations as users browse the site or app.
   • Ensure recommendations are updated dynamically based on user interactions.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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

1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.