EquipKW AI Chatbot
EquipKW has been at the forefront of delivering smart solutions and high-quality equipment to support construction, logistics, and events across Kuwait.
About Company
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, to take Q/A related tasks to the next level with cutting-edge RAG Technology and seamless integration across all platforms, and logging of conversation details in a central Excel sheet for the Sales team to know about the requirements of clients.
Quick info
Industry
Real Estate
Project Type
Company Project
Service Type
Workflow automation agent
Technology Stack
N8N, Python, JS, MongoDB, Azure
Project Requirements
The project required a robust chatbot that can produce factually correct, accurate, and contextually aware responses, which is able to solve customer queries related to the Equip company across all 3 major platforms(WhatsApp, Instagram, Website), which reduces human interference and enhances customer experience.
They reached out to us because of our proven expertise in building cutting-edge AI Solutions. The client was looking for a partner who could translate their vision of revolutionizing customer Q/A Experience with our cutting-edge solutions & expert advising.
Supporting Equipkw to serve their Q/A Services to cater diverse user base across all possible platforms. Providing solutions and advice whenever new challenges emerge Build a robust, reliable and future-ready Q/A system.
Challenges for the client
Repetitive Query Load
Clients struggled to handle frequent basic-to-medium customer questions manually, increasing workload and slowing response time across all communication channels.
Multi-Platform Cost Challenge
They required one unified chatbot solution running on three platforms with proper conversation logging and monitoring without increasing operational cost.
Accuracy & Consistency Issues
Delivering precise, consistent, and context-aware answers was challenging, especially when customers asked varied or layered queries requiring intelligent interpretation.
Multilingual Support Gap
Supporting English and Arabic seamlessly was difficult, as responses needed to be accurate, culturally appropriate, and reliable across both languages.
Need for Self-Hosted Automation
Client required a fully hosted N8N automation platform on their own servers for customization flexibility, data control, and long-term cost savings.
Real-Time Response Expectation
Ensuring the chatbot responded instantly with minimal delay was critical for maintaining user satisfaction and smooth customer communication.
Key Features we integrated
Core QA Engine
Acurate and contextually aware responses with keeping core customer requirements at centre.
RAG Integration
Ingestion of company's data into an central vectorstore for LLM to produce most accurate answer for quries related to equip's services, completed projects and other key info.
Postgres Chat Memory
Real-time on cloud database service which stores human and ai conversation and for maintaing the context for each user conversation by LLM.
Microsoft platform
Microsoft Sheets for logging incoming user conversations with AI in a summarized manner, Microsoft Outlook to notify the sales team of incoming new user queries logged in either WhatsApp, Instagram, or the website platform.
Product Development Cycle
Requirement Gathering
Collaborated with the client to capture their vision and understand their problem of serving their service information across all platforms.
Analysis
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 to cater to all 3 platforms (WhatsApp, Instagram, and website)
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