We are looking to build an AI-driven business operations system that automates invoicing, logistics, inventory, CRM, marketing, and executive analytics for a trading/manufacturing company. The goal is to replace multiple disconnected tools with one intelligent system that can both execute workflows and answer business queries in natural language. This is a serious, long-term project. We are looking for experienced developers or a small team with strong backend and AI integration experience. Core Features Required The system must support the following: Invoice generation (GST compliant) E-Way Bill generation based on invoices Packing list generation (optional per order) Inventory management (stock tracking, updates, adjustments) Inventory analytics (aging stock, fast/slow-moving products, dead stock) Market demand & supply analytics (real-time or near real-time integration) Customer website chatbot for product queries and order-related questions Automated follow-ups to previous customers for new products Social media posting automation for new product launches Internal CRM for employees (time logs, salary tracking, leave management) Owner-level chatbot to query business data (e.g., “Sales in November”, “Invoice for February”, “Stock available in 500 tons”) Financial dashboard showing profit, turnover, taxes, sales trends Technical Expectations AI-driven workflows using LLM integration Clean backend architecture (scalable and modular) Secure role-based authentication (Owner / Staff / Customer) API integrations (GST, E-Way Bill, payment gateways, social platforms) Dashboard + Chat interface Cloud-ready deployment Preferred stack (open to suggestions): Python (FastAPI/Django), React frontend, PostgreSQL, LLM integration (OpenAI or similar). Ideal Candidate Experience building ERP / CRM / invoicing systems Strong API integration experience Experience with AI agents or LLM-powered workflows Ability to design scalable system architecture Good communication and documentation skills Please share: Relevant past projects Proposed architecture approach Estimated timeline Milestone breakdown with cost We prefer milestone-based execution with clear deliverables.