ClicShoppingAI: Native Agentic E-Commerce Solution

[ClicShopping]

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 :


 

 

[ClicShopping]

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.