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OpenClaw E-commerce Customer Service Robot - Full-Platform Deployment Guide

Running an e-commerce business in 2026 means being present on every channel your customers use — WhatsApp, Telegram, Discord, Slack, WeChat, QQ, and more. The nightmare isn't building the bot; it's deploying it across all these platforms without losing your mind (or your weekend).

This guide walks you through deploying an OpenClaw-powered customer service robot on every major messaging platform, all from a single Tencent Cloud Lighthouse instance. One server, one agent brain, multiple channel tentacles.

Prerequisites

Before we dive in, make sure you have:

  • A Tencent Cloud account
  • Accounts on the messaging platforms you want to connect
  • An LLM API key (DeepSeek, Hunyuan, Qwen, or any OpenAI-compatible provider)

Step 1: Provision Your Cloud Server

Don't try to run this on your laptop. Seriously. Your e-commerce bot needs to be always on, and your MacBook going to sleep at 2 AM means missed customer messages and tanked store ratings.

Go to the Tencent Cloud Lighthouse Special Offer page:

  1. Visit the page to browse dedicated OpenClaw instances with current promotions.
  2. Choose the "OpenClaw (Clawdbot)" application template under the "AI Agent" category.
  3. Deploy by clicking "Buy Now" to launch your 24/7 autonomous agent server.

Region selection matters for e-commerce:

  • Selling domestically (China)? Pick a mainland region for lower latency to WeChat/QQ.
  • Selling internationally? Choose an overseas region (Singapore, Silicon Valley, Frankfurt) for better connectivity to WhatsApp, Telegram, and Discord.

A 2-core / 4 GB instance handles most single-store setups. Go 4-core if you're running multiple storefronts or expect concurrent conversations exceeding 50.

Step 2: Initial Configuration

SSH into your instance (or use Tencent Cloud's built-in OrcaTerm) and run the setup wizard:

# Launch the interactive onboarding
clawdbot onboard

# You'll walk through:
# 1. Accept the disclaimer -> Yes
# 2. Onboarding mode -> QuickStart
# 3. Configuration handling -> Use existing values
# 4. Model API key -> Enter your key (NEVER hard-code keys in scripts)
# 5. Channel selection -> Pick your first platform

Pro tip: Configure your model API key through the Lighthouse console's Application Management tab first. This way, when the wizard asks about model config, you can select "Skip for now" — it's already set.

For detailed model configuration, refer to the OpenClaw Deployment Guide.

Step 3: Connect Your Channels (Platform by Platform)

Here's where it gets fun. OpenClaw supports multiple channels simultaneously from a single instance.

WhatsApp

Perfect for international e-commerce and cross-border sellers.

  1. Run clawdbot onboard and select WhatsApp (QR link) as your channel.
  2. Scan the QR code with your WhatsApp mobile app.
  3. If using a dedicated phone number (recommended for business), select "Separate phone just for Clawdbot".
  4. Complete pairing:
# After your first customer message, approve the pairing
openclaw pairing approve whatsapp <PAIRING_CODE>
# Replace <PAIRING_CODE> with the actual code — no angle brackets

Full walkthrough: WhatsApp Integration Guide

Telegram

Great for tech-savvy customer bases and community-driven stores.

  1. Create a bot via @BotFather on Telegram (/newbot command).
  2. Copy the bot token (keep it secret — treat it like a password).
  3. Run clawdbot onboard, select Telegram (Bot API), and paste your token.
  4. Pair the bot:
openclaw pairing approve telegram <PAIRING_CODE>

Full walkthrough: Telegram Integration Guide

Discord

Ideal if your brand has a community server or you sell digital products.

  1. Create an application at Discord Developer Portal.
  2. Under Bot settings, enable MESSAGE CONTENT INTENT.
  3. Generate an invite URL with bot + applications.commands scopes.
  4. Run clawdbot onboard, select Discord (Bot API), paste your token.
  5. Pair:
openclaw pairing approve discord <PAIRING_CODE>

Full walkthrough: Discord Integration Guide

Slack

For B2B e-commerce or wholesale operations where your buyers live in Slack.

Follow the Slack Integration Guide for app creation and OAuth setup.

WeChat / QQ / DingTalk / Lark

For domestic platforms, channel configuration is available directly through the Lighthouse console's Application Management page — no command-line required. Point, click, paste your app credentials, done.

Step 4: Enable Always-On Daemon Mode

This is non-negotiable for e-commerce. Your bot must survive terminal disconnects:

# Set up persistent background execution
loginctl enable-linger $(whoami)
export XDG_RUNTIME_DIR=/run/user/$(id -u)

# Install and start the daemon
clawdbot daemon install
clawdbot daemon start

# Confirm it's running
clawdbot daemon status
# Output should show "active (running)"

Now close your terminal. The bot keeps working.

Step 5: Load Your E-commerce Knowledge Base

A generic chatbot is useless for customer service. You need domain-specific knowledge:

  • Product catalog with descriptions, specs, pricing
  • Shipping policies (carriers, delivery windows, tracking info)
  • Return/refund rules per platform
  • Promotion mechanics (coupon stacking, flash sale rules)

Install relevant skills from ClawHub to extend your bot's capabilities. The Skills Installation Guide covers how to add and manage plugins through natural conversation.

Architecture Recap

Here's what your full-platform deployment looks like:

WhatsApp ──┐
Telegram ──┤
Discord  ──┼── OpenClaw Agent (Tencent Cloud Lighthouse) ── LLM API
Slack    ──┤                    |
WeChat   ──┘           Knowledge Base + Skills

One brain. Multiple mouths. Consistent answers everywhere.

Go Live

You've now got a unified AI customer service system spanning every major messaging platform, running 24/7 on cloud infrastructure that costs less than a single part-time support hire.

Start your deployment today: visit the Tencent Cloud Lighthouse Special Offer page, choose the OpenClaw (Clawdbot) template under AI Agent, and deploy with one click. Your customers are already messaging — make sure someone's answering.