System Engineering Brief — AI-Powered eCommerce Platform Requirements

## 1. Homepage & Navigation System ### 1.1 Clear Category Navigation - **System must render a prominent, clickable navigation bar** with categories: Electronics, Clothing, Home & Garden, Books, Sports & Outdoors (already present) [shopping-dev.ai-tracks.com]. - **Breadcrumbs or hierarchical indicators** must show users exactly where they are. ### 1.2 Trust-Building Messaging - System must display a clear tagline such as “Discover amazing products at great prices. Shop with confidence and enjoy fast delivery” to instantly build shopper trust. - System should dynamically surface trust signals: “Fast shipping,” “Secure payment,” “Support 24/7.” --- ## 2. Product Display Module ### 2.1 Product Card Contents - Product cards must display: name, original price, discounted price, discount percentage, stock level, and a well-labeled ‘Add to Cart’ button—*functionality must work seamlessly* (as implemented). - Include real-time stock alerts like “Only X left” to create urgency. ### 2.2 AI-Powered Recommendations - Integrate a **Recommendation Engine**: Under each product card, dynamically present “You might also like” items based on user behavior or purchase history. - Must leverage AI algorithms capable of real-time personalization. :contentReference[oaicite:1]{index=1} --- ## 3. Search & Discovery System ### 3.1 Enhanced Search Features - System must support: - Basic keyword search. - AI-powered semantic/misspelling tolerance (e.g., “travel bag” returns waterproof backpacks). - Autocomplete with predictive suggestions. :contentReference[oaicite:2]{index=2} ### 3.2 Personalized Recommendation Logic - Build and integrate personalized item recommendations using: - Browsing history. - Purchase behavior. - Real-time clickstream data. :contentReference[oaicite:3]{index=3} ### 3.3 Dynamic Pricing Capabilities - Incorporate AI-based **dynamic pricing**: - Automatically adjust prices based on demand, inventory, or competitor pricing. - Optimize promotions in real time. :contentReference[oaicite:4]{index=4} --- ## 4. Customer Support & Checkout System ### 4.1 Smart Chatbot - Deploy an **AI chatbot** capable of: - Interpreting natural language queries (e.g., “Are more sizes available?”). - Providing instant support 24/7. - Escalating to human support when needed. :contentReference[oaicite:5]{index=5} ### 4.2 Agentic AI Checkout Flow - System must support **agentic checkout**: - Track price drops automatically. - Execute purchase on behalf of user (with a single "Buy for me" confirmation after threshold conditions are met). :contentReference[oaicite:6]{index=6} --- ## 5. Backend & Operational Automation ### 5.1 Inventory Forecasting - Implement AI-driven demand forecasting to optimize restock timing and volume—prevent stockouts and overstock. :contentReference[oaicite:7]{index=7} ### 5.2 Automated Content Generation - System must auto-generate SEO-optimized product descriptions or ad copy via AI to reduce manual content workload. :contentReference[oaicite:8]{index=8} ### 5.3 Fraud & Anomaly Detection - Include real-time transaction analysis and AI-powered fraud detection to ensure secure and reliable operations. :contentReference[oaicite:9]{index=9} --- ## 6. System Architecture & Governance ### 6.1 API-Driven & Modular Design - All modules (recommendation, search, payment, chatbot, backend) must be API-based or microservices to allow independent scaling and updates. ### 6.2 KPIs & Continuous Improvement - Define measurable KPIs: - Recommendation click-through rates. - Conversion rates. - Chatbot response times. - Inventory turnover. - Build feedback loops with A/B testing and performance monitoring for continuous improvements. --- ## Summary Table: Must-Have Modules & Requirements | Module | Requirements Summary | |---------------------------|--------------------------------------------------------------------------------------| | Homepage & Navigation | Clear categories, trust-building tagline, dynamic service badges | | Product Display | Rich product cards + AI recommendations, stock alerts | | Search & Discovery | AI-enhanced search, personalized recommendations, dynamic pricing | | Customer Support & Checkout | AI chatbot, agentic checkout flow | | Backend & Automation | Inventory forecasting, auto content, fraud detection | | Architecture & Strategy | Modular / API-driven, KPIs, A/B testing, continuous learning loop | --- Whisper this into your architecture docs, and your eCommerce platform will be **lean, smart, and future-ready**. Want me to translate this into **Laravel/Filament modules** or **Flutter widget logic** next? Just say the word. ::contentReference[oaicite:10]{index=10}