One AI platform for sales, support, and operations
Connect channels, train on your business context, trigger real actions, and continuously improve customer outcomes.
Works with Shopify, Magento, WhatsApp, Website Chat, Messenger, Instagram DM, MS Teams, REST API, and Webhooks.
How the platform works under the hood
Three architectural layers — integration, knowledge, and action — that let the agent reason about your store instead of just matching keywords.
Layer 1 · Integration
Channels + systems
A clean integration layer connects Shopify, Magento, WhatsApp, Messenger, Instagram, Teams, and custom APIs so the agent sees one unified store view.
Layer 2 · Knowledge
Context + rules
Catalog data, policy docs, brand guidance, and shopper-persona signals are indexed so responses stay grounded in your store's real context — not the open web.
Layer 3 · Action
Resolve + optimize
The agent executes workflows, calls webhooks, renders rich UI cards, and escalates edge cases with full context — then performance is monitored and refined iteratively.
Core capabilities
AI Product Consultant
Recommends the right products contextually and supports upsell flows naturally.
Customer Service Agent
Handles common support requests instantly and escalates when needed.
Virtual Try-On
For beauty, fashion, and apparel — let shoppers see products on themselves via live camera, swap colorways, and get AI styling help without leaving the chat.
Live Agent Handover
When a conversation needs a human, the AI hands off with full context — summary, sentiment, and key topics — so your team picks up where the AI left off. Built-in presence, assignment, canned responses, and internal notes.
Knowledge Base
Learns from your docs, pages, and policy content to answer with business context.
Actions & Automations
Calls APIs, webhooks, and workflows so the agent can do real operational work.
Internal Mode
Supports internal operations assistants with restricted tools and private context.
Multilingual Experience
Delivers localized responses across languages without separate setup complexity.
Tool Builder & UI Blocks
Build custom tools that fetch data, render rich cards (loyalty, order status, product compare), and run interactive workflows in chat — no engineering deploy. Org-controlled, sandboxed skills extend the agent's abilities — every skill is versioned, permissioned, and audit-logged.
Actions the agent can perform
- Recommend products from synced catalog context
- Answer order, shipping, returns, and policy questions
- Check order status via integrations/API
- Escalate to live support when confidence is low
- Capture and qualify leads from high-intent chats
- Trigger custom workflows with webhooks
- Hand off to a live agent with conversation summary, sentiment, and key topics attached
Integration footprint
Workflow proof in real scenarios
Two common commerce workflows, before and after introducing CHATTERgo.
Pre-purchase product guidance
Before
- Shoppers ask broad questions and leave without a recommendation
- Support team manually explains product fit repeatedly
- No structured capture of buying intent from chat
After
- Agent recommends products using catalog + policy context
- Intent signals are captured for follow-up workflows
- Shoppers get fast, consistent answers without waiting
Post-purchase support at scale
Before
- Order and policy questions queue up during peak periods
- Agents spend time on repetitive low-complexity requests
- Response speed drops as volume spikes
After
- Agent answers common order and policy requests instantly
- Edge cases escalate with context to human support
- Teams focus on higher-value customer situations
One platform. Sales, support, ops.
Connect your channels and go live in minutes.