I need an end-to-end AI agent that can sit inside my WhatsApp Business account and handle the full sales cycle for bulk Polyethylene (PE). The bot must be able to open a chat proactively, answer every follow-up question in real time, negotiate prices, payment terms and delivery schedules, and finally secure written confirmation inside the same thread—all while sounding friendly and conversational, just like my own voice. You’ll receive a large, well-labelled archive of past WhatsApp conversations that already closed real PE deals. Use that data to train or fine-tune your model (LLM, RAG, or any hybrid approach you prefer) so the agent learns our typical pricing logic, MOQ limits, freight clauses, and cultural nuances. Once live, it should keep learning from fresh chats I approve. Key deliverables • A production-ready model hosted on my preferred cloud (AWS or GCP) • Seamless integration with the official WhatsApp Business API, including webhook setup for message flow • Conversation manager that can (1) initiate outreach, (2) respond instantly, and (3) negotiate/close, with graceful human hand-off triggers • Admin dashboard showing active threads, deal status, sentiment, and an export to CSV/CRM • Deployment guide plus source code so my team can extend it later Acceptance criteria • 90 %+ correct intent detection across a withheld test set of our chats • At least one fully autonomous closed PE deal in a monitored pilot week • Conversation tone scores ≥ 4/5 in a post-deal buyer survey Tech you might turn to includes Python, Node.js, LangChain, OpenAI or open-source LLMs, vector databases, and the WhatsApp Cloud API—but I’m open to whatever stack you feel gives the most stable, low-latency performance. I’m ready to start as soon as you can outline your approach and timeline.