azilmuluh/Fashion-Retail.kiro

An app that solves the key problems faced by fashion retailers in Cameroon # Fashion Retail WhatsApp Business Platform for Cameroon A comprehensive AI-powered retail management platform that solves critical business problems for fashion retailers in Cameroon: ghost shoppers, dead seasonal inventory, and time-wasted on repetitive customer questions. ## 🎯 The Problems We Solve Fashion retailers in Cameroon face six critical challenges: 1. **Ghost Shoppers (60-70% of inquiries)** - Customers message on WhatsApp but never convert 2. **Dead Seasonal Inventory (30-40% of stock)** - No early warning system for slow-moving items 3. **Repetitive Questions (80% of messages)** - Hours wasted answering the same questions daily 4. **No WhatsApp Ordering** - Manual note-taking leads to errors and payment delays 5. **Seasonal Cash Flow Gaps** - 60% revenue drop in off-peak months 6. **Payment Tracking Chaos** - Manual checking of mobile money confirmations ## ✨ Our Solution An AI-powered platform that combines: ### 🤖 AI Features - **Bulk Product Upload** - Upload up to 50 images, AI analyzes and generates catalog entries - **Preview Before Publish** - Review and edit AI-generated products before saving - **Chat Assistant** - AI helper in dashboard with business insights and platform guidance - **Smart Recommendations** - AI matches customer queries to products ### 📱 WhatsApp Business Integration - **Message Analytics** - Track automation rate, response time, conversion rate - **Ghost Shopper Tracking** - Identify and re-engage high-engagement, low-conversion customers - **Automated Responses** - Handle 90% of inquiries automatically - **Order Management** - Session-based order flow via WhatsApp ### 📊 Predictive Analytics - **Dead Stock Prediction** - AI warns 30-60 days before inventory becomes unsellable - **Inventory Alerts** - Low stock, overstock, and reorder recommendations - **Customer Insights** - Top intents, peak hours, engagement metrics ## 🚀 Quick Start ### For Development ```bash # Install dependencies npm install # Run web app c …