RFP: WhatsApp-First AI Loyalty Platform for Unique Surface Coating & Paints (Satara) =========== Full-Stack Developer/Agency: WhatsApp Business API, AI Vision & UPI Fintech Integration =========== B2B Loyalty Ecosystem: WhatsApp Bot + PWA with AI Technical Assistant (Lizen & Dxion) =========== Build a B2B Rewards Platform: WhatsApp API + RazorpayX Payouts + AI Defect Detection =========== Hi, Unique Surface Coating & Paints is seeking a strategic technology partner to develop the Unique Pro Club—a comprehensive B2B loyalty ecosystem driven entirely by a WhatsApp Business Bot and a Progressive Web App (PWA). We are a leading manufacturer of industrial and auto refinish coatings (Lizen & Dxion brands) based in Satara. This project is a major digital transformation initiative designed to automate our marketing, technical support, and financial workflows for thousands of b2b users. Key Project Pillars: Loyalty & Fintech: Dynamic QR scanning with instant UPI cash payouts via RazorpayX/Setu. AI Technical Assistant: Multimodal Vision AI for real-time paint surface analysis and defect detection. Embedded Finance: Integration of micro-credit (BNPL) and co-branded expense cards. Growth Engines: Automated referral systems, lead generation, and scholarship fund management. Technical Requirements: Stack: Node.js (Express), React.js, PostgreSQL, Redis, and AWS Serverless. APIs: WhatsApp Business API (WAPI/AiSensy), Vision AI (Gemini/GPT-4o), and Fintech Gateways. Compliance: Strict adherence to the DPDP Act 2023 and ISO security standards. The full Master Project Blueprint & RFP is attached. We are looking for partners with proven experience in Indian fintech integrations and conversational AI. Submission Deadline: Please send your proposal and relevant case studies to: We look forward to building the future of industrial coatings with you. Best regards, PS: Database Schema, State Machine Logic, and AI System Prompts already designed, Paint Formula Database is already prepared in CSV/JSON format. Phased Rollout as per attached detailed file