Artificial Intillegence » Cold Emailing Automation (AI-Driven)

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Project *AFC Artificial Intillegence  » Algo Trade Automation  » Algo Trade Manual  » Bulk mail Automation with web interface  » Bulk Mail Service For Bench Sales  » Code Generation Tool  » Cold Emailing Automation (AI-Driven)  » Invoice Inventory Automation  » invoice to inventory for evergreen  » Test Automation  » What's app Bulk messaging with AI agents  » Zelle Payment for evergreenCharan Technologies _ DevelopmentEver green Farms USA (static website)Evergreen farms (pos)Evergreen React ApplicationGas Station ERPHackthonIT HappENSLucky BraidsMy Produce StandNoxa_JewelleryOffice Requirments  » Daily Tasks For Madhu  » Employees requirements  » Recruitment senior mern stack developer  » Red MIne Speed  » Senior Mern Stack DeveloperQA TestersRare FruitsRegal SolarRegal Solar DMRegal Solar Energy_ ReactReliance Home Builders_ reactRemit2AnyRestaurant POSRSVPRushi GardensRV_ EngraverSri Farms _ DMSri_FarmsTech FourceTechnical RequirementsTechy_DevelopmentTechy_POS Travel Mate

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Description Edit Refactored: ReplyInbox componnent Overhauled style the "Recent Replies" section in the dashboard to improve visual aesthetics and information density. Enhanced Card Design: Implemented a cleaner, more spacious card layout with distinct color-coded styling for different reply types (Interested, Not Interested, OOO). Improved Typography & UX: Added relative timestamps (e.g., "2 hours ago") and clearer lead/campaign attribution. Interactive Elements: Updated action buttons and hover states to be more responsive and visually consistent with the application's premium design. * Evergreen POS* Overview created for the Evergreen POS system, detailing all features, technical specifications, user flows, and implementation guidelines. h2. Document Details *Document Name:* EvergreenPOS-Requirements.docx *Format:* Microsoft Word (.docx) *Generated:* Automatically via Python script (scripts/generate_requirements_doc.py) h3. Core Modules Documented: * User Onboarding & Authentication (Multi-tenant, JWT, Password Reset) * Roles & Access Control (12+ roles with permission matrix) * POS Billing & Checkout (Barcode scanning, Multiple payment methods, Receipts) * Product Catalog & Pricing (AI plant identification, Offers management) * Inventory & Warehouse Management (7-level hierarchy) * Quotes & Invoices (Public URLs, Payment tracking) * Subscriptions & Pricing Plans * Customers & CRM * Online Storefront & Checkout * Field Staff & Jobs Management * Asset & Maintenance Management * Support Tickets System * Reports & Analytics h3. Technical Architecture: * Frontend: React 18.3+, TypeScript, Vite, Tailwind CSS * State Management: Redux Toolkit, React Query * Payment: Stripe.js, Stripe Terminal API * File Storage: AWS S3 * ML/AI: TensorFlow.js for plant identification * Database: MongoDB with multi-tenant isolation * Testing: Jest, React Testing Library h3. Performance Targets: * Page load: <2 seconds * API response: <500ms (95th percentile) * POS transaction: <30 seconds * System uptime: 99.5%+ * Support: 100+ concurrent users per tenant h3. Security Features: * JWT authentication with refresh tokens * Bcrypt password hashing * HTTPS/TLS encryption * XSS and CSRF protection * PCI compliance (via Stripe) * Audit logging h3. Integrations: * Stripe Payment Gateway (Payment Intents, Terminal API) * Email Service (AWS SES/SMTP) * SMS Service (Twilio) h2. MVP Success Metrics * Transaction Speed: <30 seconds average * System Uptime: 99.5%+ * Data Sync Accuracy: 100% * Inventory Accuracy: 95%+ * Support Ticket Resolution: <24 hours average * User Satisfaction: NPS >50 *h2. Document Structure The document includes: 1. Executive Summary 2. MVP Goals & Objectives (8 goals) 3. Core Modules - Detailed Requirements (with user flows, technical specs, data fields) 4. Technical Architecture & Infrastructure 5. Integration Requirements 6. Testing Requirements 7. Deployment & Infrastructure 8. MVP Success Metrics 9. Future Enhancements (Post-MVP)*