Clicshopping AI, free e-commerce based Gen AI - Clicshopping AI, Free generative artificial intelligence e-commerce Open Source , Open Source Store Onlne

What is ClicShopping AITM ?

Unleash the Power of AI with ClicShopping AI!

Discover the future of Ecommerce with ClicShopping AI(tm), the free and powerful open-source solution that supports B2B, B2C, and B2B-B2C seamlessly. Now integrated with cutting-edge AI through Gpt and Bard (soon), our artificial intelligence system, ClicShoppingAI empowers shop owners to soar above the competition!

With a sleek, modern, and responsive design, ClicShopping AI ensures an exceptional website experience on all devices, while maintaining lightning-fast speed. Say goodbye to resource-heavy installations

ClicShopping AI can be set up with just a few clicks on your server or computer, making it lightweight and easily customizable.

Stay ahead of the curve and take control of your Ecommerce journey with ClicShopping AI. Boost your competitiveness, optimize inventory, and offer personalized recommendations using our advanced AI algorithms.

The future of Ecommerce is here - join the revolution with ClicShopping AI today!

ClicShopping AI operates on donations, contributions, marketplace, and financial support, which ensures the ongoing development of the platform. Additionally, it is available under a dual license: GPL 2 and MIT, with license details on the website: https://www.opensource.org/licenses/

Where can I download ClicShopping AI TM open source shopping cart:

To download ClicShopping AI , an open-source shopping cart, simply click on the link to your right. Additionally, you can fork the e-commerce solution on Github and collaborate with others to improve the code. We value collaboration and welcome those who wish to promote open-source and e-commerce development.

Shop owners and programmers can work together to enhance their online store, contributing to the community by submitting their ideas on Github or within the marketplace. Let's work together to improve the platform and create a thriving e-commerce ecosystem!

Admin demo access : https://demo.clicshopping.org/ClicShoppingAdmin835

Catalog demo : https://demo.clicshopping.org/

tutorials : https://www.clicshopping.org/forum/forum/18-best-pratices-tip-trips-and-training/

Download ClicShopping : Download ClicShopping

ClicShoppingTM open source e-commerce application architecture (A bit technical).

Although ClicShoppingTM architecture approach is innovative and unique in whole,

ClicShoppingTM has an architecture easy to understand and to use.
ClicShoppingTM utilizes some GPL and MIT third-party modules to provide familiar interfaces.
ClicShoppingTM backend is coded in PHP and Maria-Db (Open Source Db ) but it can be used under PostgreSQL and MySql database.

The Core code was designed with flexibility and expandability in mind, without lacking focus on security and performance.
The frontend of ClicShopping AI is mobile optimized and based on the latest Bootstrap framwork.

Collaborate and Share

The concept is based on collaboration. The eco-system can grow and with your implication, it's possible to improve this e-commerce solution to propose always a nice application for the shop owner with some open source functionalities. Everything can be shared on Github platform and with a nice collaboration to improve the development

What are the features of ClicShopping AITM open source e-commerce

Lot of features has available for this e-commerce shopping cart application
The concept is : start your own Open Source e-commerce B2B-B2C with your own need.
Like WordPress, you can include some application inside ClicShopping AI. Simple and adapted in function in your need

Quickly, some non-exhaustive features you can find inside the ClicShopping AI e-commerce Open Source :

- PHP >= 8.3 or 8.4+ and Mariadb (11.7 recommended for the rag) / Mysql

- B2B - B2C full functionalities

##Generative AI functionalities :

Generative artificial Intelligence included with Gpt, Ollama, and Anthropic. Multi model approach

Agentic RAG-powered Business Intelligence Agent for data analysis and insights

Vector embeddings for products, categories, orders, and other entities ...

Semantic search across multiple database tables

Analytics query processing with natural language to SQL conversion

Intelligent content generation with context-aware responses

Admin chatbot interface with RAG capabilities

Web Search impleted for semantic search

AI Agentic Agent via Multi Domain Approach and Actors expertise

Analytics (BI)

Semantic (RAG)

WebSearch

HYBRID

Around 50 KPI for manaer, Developer, Data scientist

Generative Artificial Intelligence :

Generative artificial products customers recommendations

Generative artificial intelligence for All content (product,categories...)

Generative artificial intelligence for SEO

Generative artificial intelligence for tag sentiment analysis for review

Generative artificial Intelligence review summary

Generative artificial Intelligence Automated product tagging

Generative artificial Intelligence Automated review tagging

Generative artificial Intelligence product automation

Generative artificial Intelligence Web Search

Real time safety stock predictive (AI)

Server MCP (model context Protocol) for ecommerce agentic approach

Chat Rab - BI Connexion

Agentic Commerce Protocol (ACP) from OpenAI.

Universal Commerce Protocol (UCP) from Google.
Product cockpit Ai + 20 kpi : analyze the product performance by quadrant

- ....

- WYSIWYG to create your products description, content with CKeditor

- Image Editor management with El-Finder 2.x - drag and drop
- Full SEO functionalities optimization ad url
- Payment and Shipping modules included inside the application with Paypal
- Extension System to install new Applications via the back-office
- No limit to insert content
- Some dynamic statistics inside the dashboard and all the back-office
- GDRP included and some regulation aspect
- Some configuration capacities to adapt the settings in function of your needs in B2B or B2C
- Ready for mobile, tablet and desktop with BootStrap 5.x technology
- Several modes of payment / delivery can be installed
- More 250 modules available and free functional on the marketplace and available on Github !
- Full responsive design application with Bootstrap 5.x
- Multi-template
- multi-currency
- Multi-language (English and french included)

- dynamic pricing
- Extension auto install
- Composer installation for library inside apps and update / remove / versionning via apps

- Librairie with composer /phpmailer / xml rpc included fo auto install and auto update

- Free Apps osCommerce, OpenCart, ZenCart, Crealoaded, Prestashop .... database migration available on the marketplace
- Manifest and service worker implemented
- Memcache / Redis

- Double Authentificaton

- API REST

Comparison between competitors :

```html

Caractéristics	ClicShopping	Shopify	Magento	WooCommerce
IA Générative	✅ Natif multi-agents	❌ Apps tierces	❌ Extensions	❌ Plugins
Support Multi-LLM	✅ 6+ fournisseurs	❌ OpenAI uniquement	❌ Limité	❌ Limité
Base Vectorielle	✅ MariaDB native	❌ Externe requis	❌ Externe requis	❌ Externe requis
Protocoles IA	✅ ACP/UCP/MCP	❌ Extensions	❌ Extensions	❌ Extensions
WebSearch Intégré	✅ Natif	❌ Apps tierces	❌ Extensions	❌ Plugins
Open Source	✅ GPL2/MIT	❌ Propriétaire	❌ Community	❌ Yes
Rag	✅ Semantic	❌ Propriétaire	❌ Open Source	❌ Open Source
BI	✅ Analytic	❌ Propriétaire	❌ Open Source	❌ Open Source
Agentic	✅ 8 Autonomous	❌ Propriétaire	❌ Open Source	❌ Open Source

```

Languages Available :
English (Default)
French (Default)
Spanish (On Community Github)
Deutch (On Community Github)

portuguese (soon)

Free Open-Source e-commerce
ClicShopping AI means transparent. ClicShopping AI comes with free downloads and updates. Zero monthly fees

Powerful Store Management
Benefit from our built-in SEO. Easy manage products, customers, orders, taxes rules, coupon codes and more.

Extensions and Themes
The biggest e-commerce selections of modules and themes to expand your store functionality.

Support You Can Trus
We’ve got you covered. ClicShopping AI offers free community or dedicated commercial support.

Announcements

ClicShoppingAI: Native Agentic E-Commerce Solution

Comparison between competitors :

```html
Caractéristics ClicShopping Shopify Magento WooCommerce IA Générative ✅ Natif multi-agents ❌ Apps tierces ❌ Extensions ❌ Plugins Support Multi-LLM ✅ 6+ fournisseurs ❌ OpenAI uniquement ❌ Limité ❌ Limité Base Vectorielle ✅ MariaDB native ❌ Externe requis ❌ Externe requis ❌ Externe requis Protocoles IA ✅ ACP/UCP/MCP ❌ Extensions ❌ Extensions ❌ Extensions WebSearch Intégré ✅ Natif ❌ Apps tierces ❌ Extensions ❌ Plugins Open Source ✅ GPL2/MIT ❌ Propriétaire ❌ Open Source ❌ Open Source Rag ✅ Semantic ❌ Propriétaire ❌ Open Source ❌ Open Source bi ✅ Analytic ❌ Propriétaire ❌ Open Source ❌ Open Source Agentic ✅ 8 Autonomous ❌ Propriétaire ❌ Open Source ❌ Open Source ```

By ClicShopping · April 16Apr 16
ClicShoppingAI: Native Agentic E-Commerce Solution

ClicShopping strengthens its AI ecosystem through MCP compatibility with LmStudio

ClicShopping announces its compatibility with LmStudio through MCP (Model Context Protocol). This integration allows users to select a chat directly within LmStudio and initiate a conversation with ClicShopping without accessing the ClicShopping interface.

The integration simplifies the use of local AI models while maintaining centralized control. New features can be created easily, with all governance, business rules, and permissions fully managed by ClicShopping. LmStudio functions solely as a conversational access point, without duplicating application logic.
An example image below illustrates a response generated by LmStudio in this integrated context.

What is MCP?

MCP (Model Context Protocol) is a standardized protocol that enables external applications to interact with structured services or models while delegating business logic, contextual data, and governance to a dedicated system. It enforces a clear separation between conversational interfaces and application backends.

Why use MCP with ClicShopping?
Direct access to ClicShopping capabilities from local AI environments such as LmStudio Centralized governance, security, and business logic managed by ClicShopping Rapid feature development without modifying AI client applications Reduced integration complexity and improved maintainability Support for advanced use cases combining e-commerce and conversational AI This compatibility example demonstrates ClicShopping’s strategy to build an open, interoperable AI ecosystem while retaining full control over its platform and governance model.

By ClicShopping · February 24Feb 24
ClicShoppingAI: Native Agentic E-Commerce Solution

We are proud now to announce you ClicShoppingAI is a native agentic e-commerce platform built on an open, multi-agent architecture orchestrated by a central Orchestrator Agent. Designed for extensibility, the platform enables the dynamic addition of new agents and functional domains as business needs evolve.

Multi-Agent Architecture

At the core of the system, the Orchestrator Agent analyzes user intent and routes requests to the appropriate domain agents. Specialized agents operate across key functions:
Semantic Agent for semantic search and content understanding using vector embeddings and retrieval-augmented generation (RAG).
Analytics Agent for internal data analysis, automated SQL generation, and business intelligence.
WebSearch Agent for retrieving external information from the public web and competitive sources.
Hybrid Agent combining semantic, analytics, and web search capabilities to handle complex queries.

Conversational Interface
ClicShoppingAI features a conversational chat interface that supports natural language queries and delivers contextualized responses through intelligent intent analysis, contextual awareness, response validation, and multilingual support.
Monitoring and Performance

A centralized dashboard provides real-time visibility into platform activity with key performance indicators, including agent performance metrics, system latency, cache usage, alerts, trends, and token consumption statistics.
Extensible by Design

The platform relies on standardized interfaces and a clear three-layer architecture (Domains, Apps, Agents), ensuring clean separation between query processing, business logic, and autonomous agent behavior. This design allows rapid integration of new agents and domains without disrupting existing functionality.

An example below :

An request example across the chat :

By ClicShopping · January 25Jan 25
Model Context Protocol (MCP)

ClicShopping Version 4.08 and more :
MCP (Model Context Protocol) Documentation for ClicShopping
Overview
The ClicShopping MCP (Model Context Protocol) system allows for the integration of external Node.js or Python servers to extend the e-commerce application’s capabilities with advanced Artificial Intelligence functionalities. It provides a modular architecture for communication between ClicShopping and external services via standardized protocols.
What is MCP?
MCP is a communication protocol that enables applications to interact with language models and AI services in a standardized manner. In the context of ClicShopping, it facilitates:
Bidirectional communication between the e-commerce application and external AI servers Integration of intelligent agents for task automation Data access via secured REST APIs Real-time monitoring and analytics of interactions Importance in E-commerce
Advantages:
Intelligent automation: Automatic order management, product recommendations 24/7 customer support: Smart chatbots for customer assistance Advanced analytics: Predictive analysis of sales and customer behavior Personalization: AI-based personalized recommendations Inventory optimization: Demand forecasting and automatic management Disadvantages:
Implementation complexity: Requires advanced technical skills Infrastructure costs: External servers and AI services External dependency: Risk of third-party service outages Security: Management of tokens and secure access Examples of potential implementations:
🔗 Social Media Integrations
Instagram Shopping: Automatic product synchronization with Instagram posts Facebook Marketplace: Automatic publication of new products TikTok Shop: Integration with TikTok trends for recommendations Pinterest: Automatic creation of pins for popular products 🏢 ERP Integrations
SAP: Synchronization of stocks, orders, and customers Oracle NetSuite: Accounting integration and financial management Microsoft Dynamics: Synchronization of customer and sales data Odoo: Full CRM/ERP integration with inventory management 📈 Marketing Integrations
Mailchimp: Automatic customer segmentation and targeted campaigns HubSpot: Lead scoring and customer journey automation Google Analytics 4: Advanced tracking of conversions and behavior Facebook Ads: Automatic optimization of advertising campaigns 💳 Payment Integrations
Stripe: Management of subscriptions and recurring payments PayPal: Integration of payments and refunds Klarna: Installment payments and credit scoring Apple Pay/Google Pay: Optimized mobile payments 📦 Logistics Integrations
DHL/UPS/FedEx: Automatic shipping cost calculation and tracking Amazon FBA: Amazon stock management and synchronization Shopify Fulfillment: Optimization of distribution centers ShipStation: Multi-carrier shipping automation 🎯 Analytics & BI Integrations
Tableau: Advanced sales dashboards Power BI: Predictive analytics and automated reports Google Data Studio: Marketing and performance reporting Mixpanel: Advanced user event tracking 🤖 AI & Chatbot Integrations
OpenAI GPT: Smart chatbot for customer support Dialogflow: Multilingual conversation management Zendesk: Automation of support tickets Intercom: Real-time chat with lead qualification 📱 Mobile Integrations
React Native: Native mobile application Flutter: Cross-platform iOS/Android app PWA: Progressive Web Application Push Notifications: Personalized notifications 🔐 Security Integrations
Auth0: Advanced authentication and authorization Okta: Identity and access management Cloudflare: DDoS protection and CDN Sentry: Real-time error monitoring Examples of Integration Code
Example 1: Instagram Shopping Integration
// New MCP endpoint for Instagram class InstagramIntegration extends \ClicShopping\OM\PagesAbstract { public function syncProductsToInstagram(): void { $products = $this->getProductsForSync(); foreach ($products as $product) { $instagramData = [ 'name' => $product['products_name'], 'description' => $product['products_description'], 'price' => $product['products_price'], 'image_url' => $product['products_image'], 'availability' => $product['products_quantity'] > 0 ? 'in stock' : 'out of stock' ]; $this->postToInstagramAPI($instagramData); } } } Example 2: SAP ERP Integration
// Synchronization with SAP via MCP class SAPIntegration extends \ClicShopping\OM\PagesAbstract { public function syncOrdersToSAP(): void { $orders = $this->getPendingOrders(); foreach ($orders as $order) { $sapData = [ 'order_number' => $order['orders_id'], 'customer_code' => $order['customers_id'], 'order_date' => $order['date_purchased'], 'items' => $this->formatOrderItems($order['items']) ]; $response = $this->sendToSAP($sapData); $this->updateOrderStatus($order['orders_id'], $response['status']); } } } Example 3: AI Chatbot with OpenAI
// Smart chatbot for customer support class AIChatbot extends \ClicShopping\OM\PagesAbstract { public function handleCustomerInquiry(string $message): array { $context = $this->getCustomerContext(); $prompt = "As an e-commerce assistant, help this customer: " . $message; $prompt .= "\nCustomer context: " . json_encode($context); $response = $this->callOpenAI($prompt); // If necessary, create a support ticket if ($this->requiresHumanIntervention($response)) { $this->createSupportTicket($message, $context); } return [ 'response' => $response, 'requires_human' => $this->requiresHumanIntervention($response), 'suggested_products' => $this->extractProductSuggestions($response) ]; } } Example 4: Predictive Analytics
// Sales prediction with AI class PredictiveAnalytics extends \ClicShopping\OM\PagesAbstract { public function predictSales(): array { $historicalData = $this->getSalesHistory(); $externalFactors = $this->getExternalData(); // Weather, events, etc. $prediction = $this->runMLModel([ 'historical_sales' => $historicalData, 'seasonality' => $this->getSeasonalityFactors(), 'external_factors' => $externalFactors, 'inventory_levels' => $this->getCurrentInventory() ]); return [ 'predicted_sales' => $prediction['sales'], 'recommended_stock' => $prediction['stock_recommendations'], 'confidence_score' => $prediction['confidence'], 'risk_factors' => $prediction['risks'] ]; } } Concrete Use Cases
🛒 B2C E-commerce
Personalized recommendations: “Customers who bought this product also viewed…” 24/7 chat support: Automatic assistance with escalation to a human Intelligent inventory management: Stock-out prediction Dynamic pricing: Automatic price adjustment based on competition 🏢 B2B E-commerce
Personalized catalog: Prices and products according to the customer Large order management: ERP integration for high volumes Automated reporting: Dashboards for resellers Discount management: Automatic calculation based on commercial agreements 🎯 Marketplace
Multi-vendor synchronization: Centralized stock management Fraud detection: Automatic detection of suspicious transactions Fee optimization: Automatic commission calculation Dispute management: Automation of resolution processes 📱 Mobile Commerce
Smart push notifications: Personalized notifications Geolocation: Location-based offers Mobile payments: Apple Pay/Google Pay integration Image recognition: Product search by photo Measurable Business Benefits
📈 Sales Performance
+25% conversion thanks to personalized recommendations -40% shopping cart abandonment with the smart chat +30% average cart value via cross-sell suggestions -60% order processing time with automation 💰 Cost Optimization
-50% support costs with chat automation -30% logistics costs with inventory optimization -25% marketing costs with precise targeting -70% human errors with process automation 🎯 Customer Experience
+90% customer satisfaction with 24/7 support -80% response time to customer inquiries +45% loyalty thanks to personalization +60% problem resolution rate on first interaction MCP Architecture
General Architecture
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │ ClicShopping │◄──►│ MCP Server │◄──►│ AI Services │ │ (PHP Core) │ │ (Node.js/Python)│ │ (OpenAI, etc.)│ └─────────────────┘ └─────────────────┘ └─────────────────┘ │ │ │ ▼ ▼ ▼ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │ Database │ │ Monitoring │ │ Analytics │ │ │ │ & Logs │ │ & Reports │ └─────────────────┘ └─────────────────┘ └─────────────────┘ ClicShopping MCP Architecture
The ClicShopping MCP system is organized into several components:
1. Core Classes
MCPConnector: Connection and protocol management McpMonitor: Performance oversight and monitoring McpService: Core services for MCP operations McpDecisionAgent: Intelligent agent for automation 2. API Endpoints
/mcp&customersProducts: Products API /mcp&ragBI: RAG (Retrieval-Augmented Generation) Interface for admins - the rag must ve activated You are free to create other EndPoints (see example above) 3. Admin Configuration
Administration interface for configuring MCP servers Token, port, SSL management Real-time monitoring What is Not Provided with the APP
The Chat
The chat interface is not included in the ClicShopping application. To implement it:
Chat construction and connection:
Create a chat interface (HTML/CSS/JavaScript) Connect to the MCP server via WebSocket or HTTP Use the available API endpoints: // Example of chat connection const chatEndpoint = 'http://your-domain/index.php?mcp&customersProducts'; // Sending a message fetch(chatEndpoint, { method: 'POST', headers: { 'Content-Type': 'application/json', 'Authorization': 'Bearer ' + token }, body: JSON.stringify({ message: 'Looking for products', context: { user_type: 'client', session_id: 'unique_session_id' } }) });
The Node.js/Python MCP Server
The external MCP server is not provided with the application. To build it:
Node.js MCP Server Example:
// Example of a Node.js MCP server const express = require('express'); const app = express(); app.post('/mcp/products', async (req, res) => { // Logic for processing product requests const response = await processProductRequest(req.body); res.json(response); }); app.listen(3000, () => { console.log('MCP server started on port 3000'); }); Server Connection:
Configuration in the ClicShopping admin: Host, Port, SSL, Token API Usage: Access via the /Shop/json routes Configuration and Usage
Configuration in the Administration
MCP configuration is done directly in the ClicShopping administration interface:
Available parameters:
Server Host: Address of the MCP server (default: localhost) Server Port: Port of the MCP server (default: 3000) SSL: Secure protocol activation Token: Authentication token for security Status: MCP module activation/deactivation Alert configuration:
Latency thresholds: Maximum response time Availability thresholds: Maximum downtime Notifications: Email alert configuration Access API - Shop Routes
The MCP API is accessible via the /Shop/json routes of ClicShopping:
1. CustomersProducts.php
This class serves as the main entry point for the MCP products API. It manages:
Main features:
Product list: GET ?mcp&customersProducts&action=products Product detail: GET ?mcp&customersProducts&action=product&id={ID} Search: GET ?mcp&customersProducts&action=search&query={TERM} Statistics: GET ?mcp&customersProducts&action=stats Categories: GET ?mcp&customersProducts&action=categories Recommendations: GET ?mcp&customersProducts&action=recommendations Customer chat: POST ?mcp&customersProducts (with JSON body)
Example usage:
# Product list curl "http://localhost/clicshopping_test/index.php?mcp&customersProducts&action=products&limit=5" # Product search curl "http://localhost/clicshopping_test/index.php?mcp&customersProducts&action=search&query=washcloth" # Customer chat (POST) curl -X POST "http://localhost/clicshopping_test/index.php?mcp&customersProducts" \ -H "Content-Type: application/json" \ -d '{"message": "I am looking for cleaning products", "context": {"user_type": "client"}}' 2. RagBI.php
RAG (Retrieval-Augmented Generation) interface identical to ClicShopping’s internal chat but accessible via MCP:
To use it, you must activate the Agent RAG-BI inside the administration.
Features:
Semantic queries: Smart search in the database Analytical queries: Analysis of sales and performance data OpenAI Integration: Use of language models for responses Translation cache: Performance optimization Example usage:
# RAG BI Query curl -X POST "http://localhost/clicshopping_test/index.php?mcp&ragBI" \ -H "Content-Type: application/json" \ -d '{"message": "Give me a table of the evolution of turnover by month for the year 2025"}' 3. customerOrders.php
Customer order management API:
Features:
Order list: GET ?mcp&customerOrders&action=list_orders&customer_id={ID} Order detail: GET ?mcp&customerOrders&action=read_order&order_id={ID} Cancellation: POST ?mcp&customerOrders&action=cancel_order Messages: POST ?mcp&customerOrders&action=send_message History: GET ?mcp&customerOrders&action=history&order_id={ID}
Examples of Future Implementation
Agentic Approach
The MCP system supports the implementation of intelligent agents for:
Recommendation Agent:
// Example of a Recommendation Agent class RecommendationAgent { public function analyzeCustomerBehavior($customerId) { // Analyze customer behavior // Generate personalized recommendations } }
Stock Management Agent:
// Example of a Stock Management Agent class StockAgent { public function predictDemand($productId) { // Demand prediction // Optimization of stock levels } }
Customer Support Agent:
// Example of a Support Agent class SupportAgent { public function handleCustomerInquiry($message) { // Process customer inquiries // Automatic escalation if necessary } }
Monitoring and CronJobs
Monitoring System
The MCP system includes complete monitoring:
Monitored metrics:
Response time: Latency of MCP requests Availability: Uptime of the MCP server Errors: Error rate and error types Security: Intrusion attempts and unauthorized access Automatic alerts:
Performance thresholds: Alerts if response time > threshold Service outages: Notifications in case of unavailability Suspicious activities: Detection of attacks or abuse CronJob Configuration
The MCP system uses scheduled tasks for:
1. Health Monitoring (every 5 minutes)
// CronJob: McpHealthCron // Checks the health of the MCP server // Stores alerts in the database // Cleans up old alerts (>30 days) 2. Decision Agent (every 5 minutes)
// CronJob: mcp_agent // Executes the intelligent decision agent // Processes automated tasks // Updates recommendations CronJob Configuration:
# Add to crontab */5 * * * * /usr/bin/php /path/to/clicshopping/index.php?cronId={CRON_ID} Security
Authentication and Authorization
Access Tokens:
Secure generation: Unique tokens per session Automatic expiration: Token rotation Validation: Verification on every request Endpoint protection:
Configured CORS: Controlled access by origin Parameter validation: Input sanitization Production mode: Access restrictions in production Security Best Practices
Use HTTPS in production Configure strong tokens and renew them regularly Limit access by IP if necessary Monitor logs to detect suspicious activities Regularly update dependencies Troubleshooting
Common Problems
1. Connection to the MCP server fails
Check the configuration (host, port, SSL) Verify that the MCP server is started Check error logs 2. Authentication errors
Verify the token validity Check permission configuration Check security logs 3. Degraded performance
Check monitoring metrics Optimize database queries Increase resource limits Logs and Debugging
Log files:
MCP Logs: Available in the database and admin interface (export) for various traceability PHP Error Logs: Standard PHP configuration Monitoring Logs: mcp_alerts database Support and Resources
Additional Documentation
DeepWiki/ClicShopping: Detailed architecture : https://deepwiki.com/ClicShopping/ClicShopping GitHub Issues: Technical support and bugs : https://github.com/ClicShopping/ClicShopping/issues ClicShopping Forum: Community and assistance

By ClicShopping · September 29, 2025Sep 29
Important information for the next release >4.02

This version move the includes directory to Core directory. If you install an app do not forget to change the includes directory into Core directory.

Until the transition is not completed, please do not install directly from the ClicShopping AI an App. Download and do it manually.
Thank you.

By ClicShopping · July 18, 2025Jul 18
How to install Clicshopping V3

good solution dear.

By franst · May 1, 20251 yr
ClicShopping AI V4: Unlocking the Full Potential of Generative AI with the RAG

For over two years, ClicShopping AI has been integrating generative AI using OpenAI, Anthropic, and Ollama.

While the V3.x release incorporated AI without requiring fundamental changes to the core application or underlying technologies, the upcoming V4 takes a major leap forward with deeper AI integration and enhanced functionalities.

MariaDB with RAG: A Game Changer for AI-Driven E-Commerce for PHP aplication
MariaDB has recently introduced a version with built-in Retrieval-Augmented Generation (RAG), leveraging OpenAI for intelligent search and contextual understanding.
This upgrade enables databases to create vector embeddings, allowing for advanced semantic search capabilities that link structured and unstructured data.

ClicShopping AI V4 seamlessly integrates MariaDB’s RAG with its PHP-based framework, empowering merchants with AI-powered data retrieval. The system can process vast datasets, enabling real-time insights and intelligent automation through a chatbot-driven interface.

Advanced AI-Powered Features for Merchants
ClicShopping AI V4 enhances the merchant experience with context-aware search and AI-driven analytics.

Key capabilities will be includes (most of them):

✔ Intelligent Stock Monitoring – Instantly check which products are running low.
✔ Advanced Product Lookup – Retrieve products by reference, attributes, or even vague descriptions.
✔ Automated Customer Insights – AI-driven analysis of purchasing patterns and customer preferences.
✔ Smart Recommendations – Suggests relevant products based on user behavior and search history.
and more.

If no exact match is found, the chatbot dynamically returns the closest relevant result, ensuring an intuitive and efficient user experience.
Currently, very few PHP e-commerce solutions natively integrate generative AI and RAG technology.

ClicShopping AI is the first PHP solution to pioneer this innovation, redefining how merchants interact with their data.

Enhanced Security with AES-256 Encryption
Security remains a top priority. The next release will introduce dynamic AES-256 encryption for sensitive data stored within the platform.
This ensures:
🔐 End-to-End Encryption – Protects customer and transaction data.
🔐 Adaptive Key Management – Rotates encryption keys dynamically for enhanced security.
🔐 Compliance-Ready Protection – Meets industry standards for data privacy and security.

Try the Development Version Today
ClicShopping AI V4 is at the forefront of AI-driven e-commerce solutions. Be among the first to explore its capabilities!

⚡ System Requirements (recommended):
MariaDB 11.7 (with RAG support)
PHP 8.4

Stay ahead of the curve—embrace the future of AI-powered e-commerce with ClicShopping AI V4!

By ClicShopping · March 29, 20251 yr
How to install Clicshopping V3

After 3 times, your are blocked.
First to access to you admin is your email : admin@admin.com for example

If you can not do that,try to change your password, link below the connexion.

Also you can reinstall the application : mydomain/install,
Insert your db access but do not install the db, continue the process.

By Drack · September 21, 20241 yr

What is ClicShopping AITM ?

Where can I download ClicShopping AI TM open source shopping cart:

ClicShoppingTM open source e-commerce application architecture (A bit technical).

What are the features of ClicShopping AITM open source e-commerce

Blog Entries

Unlocking Inventory Management Success with ClicShopping AI

Elevate Your Sales with ClicShopping AI Smart Product Recommendations

SEO and ChatGPT

How can GPT help us to improve the productivity and the result inside ClicShopping ?

Use Artificial Intelligence In Ecommerce

Posts

ClicShoppingAI: Native Agentic E-Commerce Solution

ClicShoppingAI: Native Agentic E-Commerce Solution

ClicShoppingAI: Native Agentic E-Commerce Solution

Model Context Protocol (MCP)

Important information for the next release >4.02

How to install Clicshopping V3

ClicShopping AI V4: Unlocking the Full Potential of Generative AI with the RAG

How to install Clicshopping V3

Important Information

Account

Navigation

Search

Configure browser push notifications

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Chrome (Desktop)

Safari (iOS 16.4+)

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