AI chatbot · Shopify

A Shopify chatbot grounded in your actual catalog.

A custom AI chatbot for Shopify built on RAG (retrieval-augmented generation): grounded in your catalog, your policies, your product copy — never makes up SKUs, never invents return windows. Native theme integration, no per-message SaaS fee.

Book a 20-min scope call → See selected work

◆ RAG · catalog-aware · OpenAI / Anthropic / Gemini · Klaviyo-integrated

The bottleneck

What slows teams down today.

01 ◆

Generic chatbots hallucinate product details and return windows. One wrong answer in front of a customer is a brand-trust problem.

02 ◆

SaaS chatbot per-message pricing is murderous at scale. $0.10 per conversation × 100K conversations = $10K/mo.

03 ◆

Generic widgets look like injected SaaS, not your brand. Luxury / high-AOV stores can't afford that.

04 ◆

No catalog awareness — can't suggest specific in-stock alternatives when an item is out of stock.

05 ◆

No Klaviyo / Shopify customer-data integration — the chat is an island disconnected from the rest of the stack.

What you get

What I actually ship.

◆ Custom Shopify app (private or App Store, your call).
◆ RAG indexed against your product catalog, FAQs, return policy, shipping info — refreshed automatically on catalog changes.
◆ Conversational widget — branded, accessible, mobile-first.
◆ Catalog-aware suggestions: "show me black wedding bands under $2K" → returns specific in-stock SKUs with images.
◆ Add-to-cart from chat (single click).
◆ Klaviyo integration: chat profiles enrich Klaviyo profiles for downstream flows.
◆ Handoff to human (your Slack / email / Gorgias / Intercom).
◆ GA4 + Meta + LinkedIn conversion events.
◆ Admin panel for non-developers to update policy docs, FAQs, and tone-of-voice prompts.
◆ 14 days post-launch monitoring.

FAQ

Shopify AI chatbot FAQs.

No fluff — the specifics buyers want before booking a call. If yours isn't here, ask on the call.

Will the AI hallucinate product details?

No — RAG grounds every response in your actual catalog. The AI retrieves relevant product/policy chunks from the knowledge base before generating a response, so it quotes your real return window, your actual SKUs, your real prices. The "AI chatbots for ecommerce" blog post goes deep on the pattern: /ai-rag-chatbots-for-ecommerce/.

Can it handle out-of-stock alternatives?

Yes — that's one of the higher-conversion features. Customer asks for "the gold solitaire size 7" which is OOS; chatbot suggests in-stock alternatives with similar metal/style/price band. Live inventory query, no hallucination.

Will it integrate with Klaviyo / Gorgias / Intercom?

Yes — Klaviyo for profile enrichment + flow triggers, Gorgias / Intercom / your own Slack for human handoff. Multiple integrations in one bot.

What does it cost to run per month?

Token cost: typically $0.02-0.20 per conversation. For a store doing 10K conversations/month: $200-2,000/mo (vs. $1,000+ for SaaS chatbot at the same volume). RAG embedding cost is one-time + delta on catalog updates.

How long does the build take?

4-6 weeks for standard build, 8-12 weeks for the Custom tier (multi-language, voice, Stripe-integrated checkout-from-chat). Faster if you're willing to skip some integrations.

Keep reading