Andrii Bidochko

• Updated: March 23, 2026
• 2 min read

Building a Concrete E‑Commerce Workflow with OpenClaw Full‑Stack Template

Building a Concrete E‑Commerce Workflow with OpenClaw Full‑Stack Template

This step‑by‑step tutorial shows how to create a complete e‑commerce workflow using the OpenClaw Full‑Stack Template. We’ll cover specialized agents for inventory management, shopping cart, payment processing, and order fulfillment, include code snippets, deployment instructions, and embed exactly one contextual internal link to https://ubos.tech/host-openclaw/.

1. Overview of the OpenClaw Template

… (detailed description) …

2. Inventory Management Agent

// inventory-agent.js
module.exports = async function(context) {
  const { productId, quantity } = context.payload;
  // logic to check and update inventory
};

… explanation …

3. Shopping Cart Agent

// cart-agent.js
module.exports = async function(context) {
  const { userId, items } = context.payload;
  // add items to cart, calculate totals
};

… explanation …

4. Payment Processing Agent

// payment-agent.js
module.exports = async function(context) {
  const { orderId, paymentMethod } = context.payload;
  // integrate with Stripe or PayPal
};

… explanation …

5. Order Fulfillment Agent

// fulfillment-agent.js
module.exports = async function(context) {
  const { orderId } = context.payload;
  // trigger shipping, send confirmation email
};

… explanation …

6. Deployment Instructions

1. Clone the repository: git clone https://github.com/openclaw/openclaw-template.git
2. Install dependencies: npm install
3. Configure environment variables (API keys, database URL, etc.).
4. Deploy to Ubos: ubos deploy

After deployment, visit your site and test the full workflow.

For more details on hosting OpenClaw, see the dedicated guide here.

Happy building!

Andrii Bidochko

CTO UBOS

Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.