AI-Powered Customer Support for E-Commerce
Enthusiast helps e-commerce companies respond faster and more accurately to customer inquiries. Fully customizable, self-hosted, and built to fit your needs.
The Challenge with Customer Support in E-Commerce
High ticket volume, especially during peak seasons
Difficulty accessing accurate product information
Repetitive questions eating up agent time
Risk of inconsistent or off-brand responses
Concerns about data privacy with third-party AI tools
Enthusiast Solves Customer Support with AI
Enthusiast connects directly to your product catalog and support content to intelligently respond to customer questions. Whether used to assist human agents or automate answers, it's built for developers who want full control—from hosting to prompt logic.
How It Works
AI That Understands Your Products and Customers
Connect your product catalog, FAQs, and support docs
Choose your preferred LLM: OpenAI or a self-hosted model like Mistral
Customize prompts to reflect your support tone and policies
Deploy as a chatbot, internal tool, or agent copilot
Continuously refine based on real conversations and feedback
Why Enthusiast for Customer Support
Faster Response Times
Automatically draft or send accurate replies based on your real product data
Open-Source and Fully Customizable
Adapt prompts, workflows, and integrations to your exact support setup
Private and Secure
Deploy entirely on your own infrastructure, including LLMs, for full data control
Developer-Friendly Stack
Built with Python, Django, React, and Postgres—easy to audit, extend, and deploy
Technical Flexibility
Built for Developers and Teams That Need Control
Standard Python/Django/PostgreSQL/React stack
Self-hostable, including LLMs like Mistral or Llama
Integrates with major e-commerce platforms
Open-source license: fork it, extend it, make it yours
Customizable prompt workflows and API endpoints
Frequently Asked Questions
How does Enthusiast integrate with my e-commerce platform?
Enthusiast includes pre-built integrations for popular platforms like Shopify and custom APIs for headless setups.
Can it be trained on internal documents like support guides or manuals?
Yes. You can feed it internal content to build a complete knowledge base for customer-facing or internal use.
Is it secure and self-hosted?
Absolutely. You can run both Enthusiast and your chosen LLM fully on your own infrastructure—no external API calls required.
What LLMs can I use with Enthusiast?
Enthusiast works with OpenAI APIs and open models like Mistral and Llama via local deployments.
Can I customize how it responds?
Yes. Prompt logic, workflow behavior, and even tone of voice are all fully editable in the open-source version.
