fire safety operations with intelligent chat assistant
About Client
Industry
Fire Safety
Location
UAE
Project Overview
In conventional fire safety operations, technicians face challenges accessing relevant information efficiently. They rely on manual procedures, which are time-consuming and prone to errors. Field technicians usually call their office staff to find out any accurate information.
To address these challenges, we introduced “Fire Safety Operations with Intelligent Chat Assistance.” The chatbot includes multilingual support for both Arabic and English languages. The Chatbot empowers technicians by providing instant clarification on fire safety standards and guidance on necessary implementations. It enhances efficiency during on-site visits and ensures adherence to standards. Chatbot helps find relevant information from the 20+ PDFs about UAE fire safety standards.
The Chatbot facilitates quick document retrieval, saving time previously spent on call and helping field technicians resolve their queries without needing hundreds of call center executives. Overall, “Fire Safety Operations with Intelligent Chat Assistance” revolutionizes fire safety operations by leveraging artificial intelligence to enhance efficiency, accuracy, and responsiveness.
Traditional Process
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Challenges Faced
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Our Solution
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Outcome
Implementing the chatbot resulted in a significant 50% reduction in response time to field technicians.
The adoption of the chatbot led to a notable 30% increase in overall efficiency across fire safety operations.
By streamlining processes and reducing dependency on call centers , the organization achieved a commendable 20% reduction in fire safety operation costs.
The implementation of the new system resulted in consistently high levels of customer satisfaction due to improved service delivery and responsiveness.
Approximately 60% of the time was saved with the implementation of the Chatbot, ensuring that field technicians could access the right information at the right time.
Features
Multilingual Support - Arabic and English
Conversational History Tracking
Technology Stack
Large Language Models (LLMs)
- OpenAI as a LLM
Front-end
- React
Backend
- Node
- Python
- Flask
- Nginx
Bot Framework
- Botpress V12
Storing the data for the RAGs
- ChromaDB(Vector DB)
Database
- SQL Database (PostgreSQL)
Deployment and Scaling
- Docke
- Kubernetes
Cloud Services
- AWS Cloud Services (EC2, S3, ACM, Route53, Simple Email Service, WAF)
Project Management
- Azure DevOps