I will build a fast custom ai chatbot using python and groq


About this gig
AI Sales Assistant | Python, Groq LLM & HelpCrunch
Developed an AI-powered sales assistant for an automotive import business to automate customer support, provide vehicle consultations, and qualify potential leads.
How It Works:
- Customer Interaction: Customers send messages through the HelpCrunch chat widget on the company's websites.
- Webhook Processing: HelpCrunch forwards messages to a Python-based Cloudflare Worker.
- AI Integration: Groq LLM generates natural responses using conversation context and company-specific business rules.
- Conversation Memory: Cloudflare D1 stores customer conversations separately to maintain context.
- Smart Pricing: The system calculates vehicle shipping costs using verified company tariffs, auction locations, and vehicle categories.
- Lead Qualification: The assistant collects essential customer preferences and contact information without excessive questions.
- CRM Integration: The existing HelpCrunchBitrix24 integration supports lead creation and customer tracking.
- Night Automation: Includes an architecture for scheduled AI support and human handoff, pending full deployment.
- Tech Stack: Python, Groq API, LLM, Cloudflare Workers, D1 SQL, HelpCrunch API, Web
Get to know Andrew
AI Engineering
- FromUkraine
- Member sinceOct 2026
- Avg. response time1 hour
Languages
Ukrainian, Russian, English
FAQ
Can you build an AI chatbot specifically for my business?
Yes! I develop custom AI assistants tailored to your business needs, industry, customer communication style, and internal workflows.
Can the AI chatbot integrate with my website?
Yes. I can integrate AI assistants with websites and supported live chat platforms using APIs and webhooks.
Can the chatbot answer customers automatically 24/7?
Yes. The system can be designed for 24/7 customer support or configured to operate during specific business hours.
Can the AI chatbot use my company's pricing and services?
Absolutely! I can integrate your pricing lists, product information, FAQs, and business rules to provide accurate, context-aware responses.
Can the chatbot collect leads and integrate with a CRM?
Yes. The assistant can qualify customers, collect contact information, and connect with supported CRM systems through APIs or existing integrations.
Will the chatbot remember previous messages?
Yes. I can implement conversation memory using a database, allowing the AI to maintain context throughout customer interactions.
Can a human manager take over the conversation?
Yes. Human handoff mechanisms can be implemented so managers can continue conversations when necessary.
Which technologies do you use?
My primary stack includes Python, Groq API, LLMs, Cloudflare Workers, SQL databases, REST APIs, and webhooks. Other technologies can be used depending on project requirements.

