They answer the same shipping and return questions all day.
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.
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Works with
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.
They lose customer context between WhatsApp, Instagram, and chat.
They need AI to help, but they cannot risk invented policies.
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They still handle product-fit questions manually before every order.
They escalate messy threads without order numbers or issue summaries.
They never turn repeated support questions into better public answers.
From customer message to resolved support, in one loop
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.
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Support-led pages
Publish answers only when repeated support questions prove customers need them before opening a thread.
Consistent facts
Product pages, Shopify data, policies, support macros, AI replies, and schema should all say the same thing.
Question roadmap
Repeated WhatsApp, Instagram, chat, and email questions become support automations first and content second.
Crawler-ready answers
Visible HTML, metadata, internal links, schema, sitemap, and llms.txt help AI systems find the answers worth reading.
Start with the support guides
One clean loop from customer question to better answer
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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.
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