Platform Overview

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, REST API, and Webhooks.

< 3s
Typical first response
24/7
Always-on support coverage
1 hub
Unified channel + action control
Minutes
Time to first live launch

How the platform works

Connect your channels, train with your business context, then launch and optimize continuously.

1. Connect

Channels + systems

Plug in Shopify, Magento, WhatsApp, and website chat with clean integration paths.

2. Understand

Context + rules

Ingest docs, catalog data, policies, and brand guidance so responses stay accurate and consistent.

3. Act

Resolve + optimize

Execute workflows, escalate edge cases, and monitor performance for iterative improvement.

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.

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.

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

Integration footprint

Shopify
Magento
WhatsApp
Website Chat
REST API
Webhooks
CHATTERgo platform visual

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
Outcome: Higher conversion-ready conversations from chat traffic

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
Outcome: Lower repetitive load with faster first-response coverage

“We reduced repetitive support load and delivered faster, more consistent customer answers across channels.”

eCommerce Operations Team

See CHATTERgo Platform in action

Start free, or talk to our team about your architecture and rollout path.