ETI Elektroelement d.o.o. is a leading European manufacturer specializing in electrical protection devices and components. Headquartered in Slovenia, ETI has built a strong global presence with a portfolio that includes fuses, circuit breakers, and other essential electrical equipment. The company combines decades of expertise with innovation to serve industrial, commercial, and residential sectors across more than 60 countries.
With a commitment to digital transformation, ETI sought to elevate its customer service and product accessibility by leveraging artificial intelligence and modern web technologies.
Website: https://www.eti.si
The Challenge
Improving Customer Access to Product Information
ETI's extensive product catalog spans thousands of items, from traditional fuses to advanced circuit protection systems. While their website contains valuable resources such as catalogs, PDFs, and product datasheets, customers often struggle to quickly find specific details, compare similar products, or discover replacements for discontinued items.
The goal was to develop a public-facing AI chatbot that provides instant, accurate answers to product-related inquiries, enabling:
- Easy search and navigation of product data
- Product comparisons across ETI's portfolio
- Recommendations for replacements of outdated or discontinued products
This chatbot would become a digital assistant embedded on ETI’s website, improving engagement and customer satisfaction.
Our Approach & Technology Stack
We collaborated closely with ETI’s team to define the chatbot’s functionality and ensure deep integration with their existing digital infrastructure. The solution was designed to index all public product data available on ETI’s site, including associated PDF catalogs. We also connected to ETI’s internal product database to get the information.
Key goals were:
- Accuracy: Ensure the chatbot retrieves the latest product specifications.
- Comparability: Enable users to compare multiple products side by side.
- Supportive UX: Recommend compatible replacements where applicable.
- Scalability: Allow for easy expansion as new products or documents are added.
Tech Stack
- AI Model: MurAi - OpenAI based model – Used to interpret user queries and generate natural-language responses.
- Frontend: Vue.js – Ensured a responsive, modern user interface.
- Backend: Node.js – Managed integration with document indexing, search logic, and chatbot orchestration.
Key Features Developed
Product Query Intelligence
The chatbot provides detailed, structured answers about ETI products, extracted from public site data and catalogs.
Product Comparison Engine
Users can input multiple products to receive side-by-side comparisons based on key specifications.
Replacement Suggestions
If a queried product is discontinued, the bot suggests the most relevant available alternatives from ETI’s current offerings.
Data Source Integration
Chatbot indexing includes:
- ETI’s full online product catalog
- PDF catalogs and documentation
- Internal product database accessible from the API.