Shopify AI Chatbot

Development

Intelligent customer service automation for e-commerce. Transform support tickets into sales conversions through contextual AI interactions.

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Overview

Open-source AI conversational commerce powered by Groq and Meta's Llama models. Vector search meets e-commerce for brands who understand every support ticket is a sales opportunity.

How it works

Traditional customer support is a cost center. The Shopify AI Chatbot transforms it into a revenue driver by leveraging product knowledge, purchase history, and behavioral patterns to guide customers toward conversion.

The architecture employs a hybrid approach: LLM-powered intent detection classifies queries, then parallel service orchestration retrieves data from multiple sources. Knowledge retrieval uses keyword-based scoring algorithms—searching through static FAQs, blog content, and downloadable brochures. Only visual search leverages true vector embeddings via CLIP and Upstash Vector.

This deliberate design choice prioritises speed and accuracy over semantic similarity. Static knowledge bases for FAQs, guides, and product brochures ensure zero hallucination. The LLM composes final responses from verified sources, maintaining factual accuracy while delivering conversational experiences.

Key features

  • Hybrid knowledge system: keyword-based FAQ/blog search
  • Visual search: CLIP embeddings + Upstash Vector (only for images)
  • Static knowledge bases: FAQs, blogs, guides, brochure downloads
  • Shopify order refunds and status lookups with email verification
  • HubSpot ticket generation for complex support requests
  • LLM intent detection + parallel service orchestration
  • Real-time cart management with variant selection
  • Zero hallucination through verified knowledge sources

Built with

Next.jsGroq + Llama 3.3Shopify APIUpstash VectorRedisHubSpot API