Real Estate & Construction

AI Chat agent for Multi Platform

EquipKW has been at the forefront of delivering smart solutions and high-quality equipment to support construction, logistics, and events across Kuwait.

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equipkw
Tech StackN8N, Python, JS, MongoDB, Azure
Project TypeCompany Project
Service TypeWorkflow automation agent
IndustryReal Estate
Project Requirements

About Client & Project

  • Founded in 2018, EquipKW has been at the forefront of delivering smart solutions and high-quality equipment to support construction, logistics, and events across Kuwait. They specialize in modular container units, site equipment, and custom-built structures designed to serve a wide range of industries. Their vision for the project is to revolutionize customer experience, enabling customers to have end-to-end queries solved with minimal human interference across all 3 platforms (WhatsApp, Instagram, Website). Their mission is to enhance customer experience through cutting-edge RAG technology, seamless platform integration, and centralized conversation logging for the sales team.

Challenges For Client

Solution

The Key Features We Integrated

Core QA Engine

Core QA Engine

Accurate and contextually aware responses while keeping customer requirements at the center of every interaction.

RAG Integration

RAG Integration

Company data is ingested into a centralized vector store, enabling the LLM to provide highly accurate answers about services, completed projects, and business information.

Postgres Chat Memory

Postgres Chat Memory

Cloud-based conversation storage that maintains chat history and context for every user interaction.

Microsoft Platform Integration

Microsoft Platform Integration

Uses Microsoft Sheets for conversation logging and Microsoft Outlook to notify sales teams about new customer inquiries across WhatsApp, Instagram, and website channels.

Development Process

Product Development Cycle

Requirement Gathering

Collaborated with the client to capture their vision and understand the challenge of serving service information consistently across all platforms.

Analysis

Converted requirements into clear workflows, ensuring a balance of simplicity, security, and future scalability.

Development

Adopted agile sprints to build core features with precision, focusing on performance, accessibility, and seamless user experience.

Testing

Applied rigorous testing at every level to guarantee functionality, reliability, and trust in workflow delivery.

Deployment

Successfully deployed a secure and scalable self-hosted N8N workflow solution supporting WhatsApp, Instagram, and website platforms.

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