aafreen1804/AI_consultant

AI Logistics Assistant (Multi-Agent System)

Overview

This project is an AI-powered assistant that helps businesses understand how a logistics platform like Locus can solve their operational problems.

Instead of behaving like a basic chatbot, the system is designed to mimic how a real solutions consultant would think.

What the system does

A user enters their name and describes a logistics-related issue, for example delivery delays or route inefficiencies.

The system then processes this query through multiple steps:

• —First, it understands what the user is actually trying to solve
• —Then, it connects that problem to relevant features of the platform
• —After that, it explains how those features help in a practical way
• —Finally, it converts everything into a clean, user-friendly response

How it works (behind the scenes)

The project uses a multi-agent setup built with CrewAI.

Each agent has a specific responsibility:

• —Query Analyst: figures out the core problem
• —Product Specialist: identifies relevant product features
• —Solutions Consultant: explains how the solution works
• —Communication Assistant: formats the final response

The assistant is designed to provide clear and concise responses, focusing only on what is useful and relevant to the user.

Tech stack

• —CrewAI
• —Groq (LLaMA 3.1)
• —Gradio