AI customer support for small commerce

Laris answers customers across WhatsApp, Instagram, website chat, and other channels using your products, policies, Shopify context, and escalation rules. GEO stays in the loop as the public-answer layer for repeated questions.

Built for Shopify merchants who support and sell through conversations, not just clicks.

Illustration of a commerce operator planning orders at a desk

Works with

ShopifyChatGPTClaudeGeminiWhatsAppInstagram

Small merchants do not need another inbox, they need an AI support layer

Customers ask delivery questions in WhatsApp, product-fit questions on Instagram, order questions in chat, and checkout questions right before they buy. Laris keeps those answers consistent and knows when to hand off.

M
Maya Chen@mayastore2y
...

They answer the same shipping and return questions all day.

N
Noah Patel@noahgoods6mo
...

They lose customer context between WhatsApp, Instagram, and chat.

E
Elena Rossi@elenaatelier1mo
...

They need AI to help, but they cannot risk invented policies.

Illustration of a small merchant manually handling commerce messages and orders
S
Sam Morgan@samshop9mo
...

They still handle product-fit questions manually before every order.

A
Aisha Karim@aishastudio3mo
...

They escalate messy threads without order numbers or issue summaries.

L
Leo Brooks@leobrooksco1y
...

They never turn repeated support questions into better public answers.

From customer message to resolved support, in one loop

ChatGPT
Claude
Gemini
Shopify
Messages
Conversations
WhatsApp
Instagram

Connect the support channels

Customer conversations arrive from WhatsApp, Instagram, website chat, email, and future channels. Laris gives those channels one support brain so answers stay consistent even when the thread starts somewhere else.

Run the support loop

Laris connects customer messages, store knowledge, live commerce context, AI providers, escalation, and weekly improvements. Every support question becomes a signal that improves the next answer.

Support can still create orders

Laris answers product-fit questions, recommends options, sends checkout-ready links, and supports buyers after purchase. It treats revenue as a natural result of better support, not a separate script.

Keep GEO, but let support decide what to publish

GEO matters when it grows from real support demand. Laris turns repeated customer questions into public FAQs, product sections, policy explanations, and AI-readable pages only when they reduce confusion.

Illustration of a commerce operator organizing support knowledge for public answers
ChatGPTClaudeGeminiShopify
01

Support-led pages

Publish answers only when repeated support questions prove customers need them before opening a thread.

02

Consistent facts

Product pages, Shopify data, policies, support macros, AI replies, and schema should all say the same thing.

03

Question roadmap

Repeated WhatsApp, Instagram, chat, and email questions become support automations first and content second.

04

Crawler-ready answers

Visible HTML, metadata, internal links, schema, sitemap, and llms.txt help AI systems find the answers worth reading.

One clean loop from customer question to better answer

Illustration of merchants reviewing commerce conversations and revenue signals

Connect customer channels

Bring WhatsApp, Instagram, website chat, and future channels into one AI support workflow.

Answer with store knowledge

Use product facts, policies, order context, and approved support rules instead of generic replies.

Use ChatGPT or other providers

Put AI providers behind a controlled workflow with retrieval, tools, permissions, and logs.

Escalate with context

Collect the details a human needs before handing off sensitive, unusual, or high-value cases.

Publish selected GEO answers

Turn repeated questions into public FAQs and pages when they reduce future support load.

Early access

Start with the pages and conversations that already matter

The first version is designed for small Shopify merchants who need AI support across WhatsApp, Instagram, website chat, and practical knowledge-base improvements before a full helpdesk stack.

Starting from

$49

per month during early access

Request access
Early access

Contact

Tell us where support is leaking

Share your store, channels, and current support bottleneck. We will reply with the clearest next step, or you can book a 30 minute slot right away.

Route the request

Demo, AI support setup, or WhatsApp help