# Ontology RL E-commerce

> Use this tool when you need to create intelligent e-commerce systems that provide personalized shopping assistance and automate tasks such as product search and order processing. It solves problems like improving user experience, enhancing customer support, and increasing sales through semantic knowledge representation and reinforcement learning. The tool takes in user inputs and outputs tailored recommendations, order status, and real-time analytics, making it ideal for e-commerce platforms seeking to leverage AI-driven solutions.

Canonical page: https://skillsregistry.net/skills/shark8848-ontology-rl-ecommerce  
JSON: https://api.skillsregistry.net/v1/skills/shark8848-ontology-rl-ecommerce

## Description

Ontology-driven e-commerce server combining semantic knowledge representation with reinforcement learning for intelligent shopping assistance. Features 21 commerce tools spanning product search, cart management, order processing, and returns, powered by ReAct agent architecture with multi-turn dialogue support. Includes conversation memory using ChromaDB with semantic retrieval, PPO-based reinforcement learning training via Stable Baselines3, and real-time analytics tracking quality scores, user intent, and recommendations. Built with comprehensive training capabilities including a Gradio dashboard for model management and a real dialogue corpus of 200 scenarios for agent improvement.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ecommerce
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/shark8848-ontology-rl-ecommerce)
- **Repository:** <https://github.com/shark8848/ontology-mcp-server-rl-stable-baselines3>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "shark8848-ontology-rl-ecommerce"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shark8848-ontology-rl-ecommerce` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shark8848-ontology-rl-ecommerce/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt